Parallel ON and OFF cone bipolar inputs establish spatially-coextensive receptive field structure of blue-yellow ganglion cells in primate retina

doi:10.1523/JNEUROSCI.1218-09.2009

J Neurosci. Author manuscript; available in PMC 2010 January 1.

Published in final edited form as:

J Neurosci. 2009 July 1; 29(26): 8372–8387.

doi: 10.1523/JNEUROSCI.1218-09.2009

PMCID: PMC2733872

NIHMSID: NIHMS128490

Parallel ON and OFF cone bipolar inputs establish spatially-coextensive receptive field structure of blue-yellow ganglion cells in primate retina

Joanna D. Crook,^1,⁴ Christopher M. Davenport,^3,⁴ Beth B. Peterson,¹ Orin S. Packer,¹ Peter B. Detwiler,³ and Dennis M. Dacey^1,²

¹ Department of Biological Structure, University of Washington, Seattle, WA 98195

² Washington National Primate Research Center (NPRC), Seattle, WA 98195

³ Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195

⁴ Neurobiology and Behavior Graduate Program, University of Washington, Seattle, WA 98195

Corresponding Author: Dennis M. Dacey, Department of Biological Structure, University of Washington, Seattle, WA 98195, Phone: (206) 543-3315 Fax: (206) 685-0305 Email: dmd/at/u.washington.edu

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Abstract

In the primate retina the small bistratified, ‘blue-yellow’ color-opponent ganglion cell receives parallel ON-depolarizing and OFF-hyperpolarizing inputs from short (S) wavelength sensitive and combined long (L) and middle (M) wavelength sensitive cone photoreceptors respectively. However the synaptic pathways that create S vs LM cone-opponent receptive field structure remain controversial. Here we show in the macaque monkey retina in vitro that at photopic light levels, when an identified rod input is excluded, the small bistratified cell displays a spatially coextensive receptive field in which the S-ON-input is in spatial, temporal and chromatic balance with the LM-OFF-input. ON pathway block with L-AP-4, the mGluR6 receptor agonist, abolished the SON response but spared the LM-OFF response. The isolated LM component showed a center-surround receptive field structure consistent with an input from OFF-center, ON-surround ‘diffuse’ cone bipolar cells. Increasing retinal buffering capacity with HEPES attenuated the LM-ON surround component, consistent with a non-GABAergic outer retina feedback mechanism for the bipolar surround. The GABAa/c receptor antagonist picrotoxin and the glycine receptor antagonist strychnine did not affect chromatic balance or the basic coextensive receptive field structure suggesting that the LM-OFF field is not generated by an inner retinal inhibitory pathway. We conclude that the opponent S-ON and LM-OFF responses originate from the excitatory receptive field centers of S-ON and LM-OFF cone bipolar cells and that the LM-OFF- and ON-surrounds of these parallel bipolar inputs largely cancel, explaining the small, spatially coextensive but spectrally antagonistic receptive field structure of the blue-ON ganglion cell.

Keywords: cone photoreceptors, macaque monkey, color vision, color-opponent, ganglion cell, Receptive Field

Introduction

An early step in the neural coding for human color vision occurs when signals arising from long- (L), middle- (M) and short- (S) wavelength sensitive cone photoreceptors interact antagonistically to create spectral opponency in retinal ganglion cells. Two classes of spectral opponent neurons have long been recognized: an L vs M cone or ‘red-green’ pathway and an S vs combined L + M cone (LM) or ‘blue-yellow’ pathway (Solomon and Lennie, 2007). However the synaptic mechanisms that create cone opponency remain controversial. Wiesel and Hubel originally observed a receptive field in the lateral geniculate nucleus (LGN) that lacked center-surround organization but instead showed nearly spatially matched ON and OFF fields that differed in spectral tuning (Wiesel and Hubel, 1966)(Fig. 1A). This ‘coextensive’ receptive field structure suggested a novel circuitry that sacrificed spatial opponency to transmit an unambiguous chromatic signal (e.g. (DeMonasterio and Gouras, 1975; DeMonasterio, 1978b; Derrington et al., 1984; Reid and Shapley, 1992; Reid and Shapley, 2002; Solomon et al., 2005). Such a circuitry was suggested when the LGN-projecting, ‘blue-yellow’ pathway or ‘blue-ON’ cell was shown to originate from a bistratified ganglion cell (Rodieck, 1991) that extended dendrites in both the inner-ON and outer-OFF subdivisions of the inner plexiform layer (Dacey and Lee, 1994) (Fig. 1B). Thus coextensive, cone-opponent fields were hypothesized to arise by parallel excitatory S-ON and LM-OFF cone bipolar inputs to the small bistratified dendritic tree (Dacey, 1993; Dacey and Lee, 1994; Dacey, 1996)(Fig. 1C). Identification of synaptic inputs to the bistratified tree confirmed presumed S-ON bipolar and LM- OFF bipolar contacts with the inner and outer dendritic tiers respectively (Calkins et al., 1998; Ghosh and Grunert, 1999). However, L-AP-4, the mGluR6 receptor agonist and selective ON pathway blocker unexpectedly appeared to attenuate both the S-ON and LM-OFF responses (Dacey, 2000; Davenport, 2007; Field et al., 2007). These observations together with recent anatomical (Schein et al., 2004) and physiological (Packer et al., 2007) evidence for LM surrounds in S cone photoreceptors and reports of center-surround receptive field structure in blue-ON cells (Field et al., 2007) suggested that S vs LM opponency arises not primarily postsynaptically by convergent ON and OFF bipolar inputs but presynaptically by horizontal cell to S cone feedback. In such a center-surround model the small bistratified cells might show both chromatic and spatially tuned achromatic response components (Gouras and Zrenner, 1979; Derrington and Lennie, 1984; Lennie and Movshon, 2005).

Figure 1

Proposed receptive field structure and cone bipolar inputs to the small bistratified ‘blue-ON’ cell type in the macaque monkey retina. A, Typical concentric center-surround receptive field spatial profile plotted (on the right) as two (more ...)

Recording from blue-ON cells in the macaque retina in vitro we now show new evidence that the S-ON and LM-OFF fields are spatially well matched and that the LM-OFF response is spared after block of both the ON-pathway and/or GABAergic and glycinergic transmission suggesting that neither ON-bipolar nor inhibitory pathways transmit the LM-OFF signal. ON pathway block unmasked an OFF-center/ON-surround structure for the LM field, consistent with input to the small bistratified cell from an OFF cone bipolar. We hypothesize that this LM-ON surround normally sums with an LM-OFF surround of the S-ON cone bipolar. The spatially coextensive blue-yellow receptive field can then be explained by summation of parallel excitatory inputs from S-ON center/LM-OFF surround ‘blue-cone’ bipolar cells with LM-OFF center/LM-ON surround ‘diffuse’ cone bipolar cells.

Methods

Choroid-attached in vitro preparation

Eyes from macaque monkeys (either M. nemestrina, M. fascicularis or M. mulatta) were acquired through the tissue distribution program at the National Primate Research Center at the University of Washington. Eyes were removed at the time of sacrifice under deep barbiturate anesthesia. After enucleation the anterior pole of the eye was removed, the vitreous drained and the remaining eyecup placed in oxygenated Ames medium. The retina, choroid and pigment epithelium were then dissected away from the sclera with care not to cause retinal detachment from the supporting layers. Radial cuts were made in the retina to create a flatmount that was adhered, ganglion cell layer up, to the glass bottom of a steel superfusion chamber that had been coated with poly-L-lysine (Sigma P1399, 10 mg in 10 ml H₂O). The chamber was mounted on a steel heating element and 4 perfusion inlet tubes, a single outlet tube, an agar bridge and a thermistor were inserted into the bath. The entire chamber assembly was mounted on the fixed stage of an upright microscope equipped with water immersion optics (Nikon Eclipse E600FN). Visual stimuli were delivered to the photoreceptors from the vitreal or ganglion cell side of the retina as in situ, via the microscope objective lens as described further below. Superfusion rate was maintained at 18–20 ml/min by a peristaltic pump that recirculated a 3L reservoir of Ames medium (pH 7.37; constant oxygenation with 95% O₂/5% CO₂; temperature was thermostatically maintained (Warner Instruments TC-344B) at 35–36 deg C. Receptor agonists and antagonists (as described further below) were maintained in Ames medium in separate oxygenated reservoirs and could be introduced to the bath quickly by switching a solenoid valve at a common input to the chamber. In a limited number of experiments retinal buffering was increased by adding 20 mM HEPES to the Ames medium (pH. 7.4); this increased the osmolarity of the solution from ~280 to 300 mOsm; in control experiments we substituted 20 mM sucrose for HEPES and found no effects of the small increase in osmolarity on the morphology or physiology of ganglion cells (Davenport et al., 2008).

Electrophysiology

Intracellular recordings were made from single ganglion cells using high impedance glass micropipettes (~400 MΩ; filled with 1M K acetate; 1% Neurobiotin and 0.5% pyranine). To target ganglion cells for intracellular penetration the in vitro retina was stained with the dye acridine orange (several drops added to the superfusate in the chamber) which, as a fluorescent, basophilic dye stained the ganglion cell Nissl substance and under epifluorescent illumination permitted direct observation of ganglion cell bodies in vitro using a 40x water immersion objective. Small bistratified cells were targeted by their distinct cell body size and shape relative to the more common midget and parasol ganglion cells. The identity of recorded cells was confirmed from their dendritic morphology after iontophoresis of pyranine. Extracellular recordings were made with low impedance patch pipettes using the ‘loose-patch’ method. The retinal surface was observed with a 60x water immersion objective under infrared illumination on a video display using differential contrast optics. Patch pipettes were used to make a small hole in the inner limiting membrane at the retinal surface so as to expose a targeted ganglion cell body for intimate contact with the patch electrode. Small bistratified ganglion cells could be reliably identified based on fine details of soma morphology and size.

Extracellular spikes were recorded in current or voltage clamp (0 mV or 0 pA holding potential). Data acquisition and stimulus presentation were coordinated by custom software running on an Apple Macintosh computer. Intra- and extracellular recordings were amplified (Axon Instruments Axoprobe 2B; Axopatch 200B) and digitized (Instrutech ITC1600) at a sampling rate of 10 KHz. Response amplitude was measured as the first or second Fourier component of the averaged membrane potential or spike rate at the temporal frequency of stimulus modulation.

We include data from blue-ON cells that showed maintained activity in the range of 20 spikes/s (mean ± sd = 22 ± 13; n = 19). To quantitatively measure the maintained activity responses we recorded the activity of 19 cells to a mean background (S:L:M = 1:1:1) for approximately 5 seconds. Otherwise maintained activity was judged qualitatively by ear when obtaining and throughout a recording. We found a good correlation between maintained discharge and the overall sensitivity of a cell to our subsequent stimulus sets. In some cells where maintained activity was low or absent we found reduced sensitivity to low contrast stimuli. Such reduced sensitivity tended to correlate with retinal detachment from the choroid-RPE and we did not further collect or include data from these cells.

Stimulus generation

Projection and control of stimulus primaries

Spatial stimuli at lower temporal frequencies were generated by a stimulus generator (VSG5, Cambridge Research Systems, England) input to a digital light projector (DLP)(VistaGRAPHX 2500, Christie Digital, Cypress, CA). Full field stimuli at higher temporal frequencies were generated by a light emitting diode (LED) based stimulator (Pokorny et al, 2004). Stimuli were focused on the retina through a 4x objective for intracellular recording and a 10x objective for loose patch recordings.

The LM and S cone inputs to ganglion cells were measured by modulating the light output of the stimulator primaries. The irradiances of the primary spectra were measured with a PR705 spectroradiometer (Photo Research, Inc). The peak wavelengths and integrated photon fluxes of the red, cyan and blue LED primary spectra (Fig 2A) were 660, 514, and 457 nm and 7.0×10⁷, 1.6×10⁷, and 2.5×10⁷ photons/s/μm² respectively. The peak wavelengths and integrated photon fluxes of the red, green and blue primaries of the DLP stimulator (Fig 2B) were 636, 550, and 465 nm and 2.7×10⁶, 6.9×10⁵ and 1.8×10⁵ photons/s/μm² respectively.

Figure 2

Blue-ON cells had ON responses to S cone isolating stimuli and OFF responses to LM cone isolating stimuli. Cone-isolating stimuli were made by differentially modulating and combining the outputs of red, cyan and blue light emitting diodes (LEDs) or red, (more ...)

To quantitatively predict the effectiveness of the light delivered by each primary to the cone aperture, we calculated the products of each primary irradiance spectrum and each cone spectral sensitivity function. The sensitivity functions (Baylor et al., 1987) were corrected for the spectrally broadening effects of self-screening by assuming an outer segment length of 5 μm and a pigment density of 0.016/μm. Each product was then summed across wavelength. The resulting nine numbers have units of effective photons/s/μm² and represent irradiance corrected by cone spectral sensitivity. Effective photons/s/μm² was then converted to photoisomerizations/s/cone by multiplying by the area of the cone aperture. In previous studies involving transverse illumination of the cone outer segment, where funneling of the inner segments plays no role, the conversion factor commonly used is 0.37 μm² (Baylor et al., 1979). The efficiency of photoisomerization (0.67)((Dartnall, 1972) is included in this value. In our retinal preparation (see above), as in vivo, light is incident upon the vitreal surface of the retina. Photoreceptor quantal catch thus depends on the axial illumination of the cone as well as the funneling of the cone inner segment. Funneling by the inner segment has been estimated to increase the effective area of the peripheral inner segment aperture by at least a factor of 3 (Packer et al., 1996). Thus for our wholemount in vitro preparation, we consider the use of 0.37 μm² as a very conservative estimate of cone aperture to make the conversion to photoisomerizations/s/cone

Often, the intensity of stimuli used in human visual psychophysics or in physiological experiments in the intact primate eye are expressed in units of retinal illuminance, or Trolands (Td). To aid comparison with our data, we calculated that for a peripheral cone with an inner segment aperture of 9 μm, 1 Troland (Td) was equivalent to ~30 photoisomerizations/s/cone. For a rod with an inner segment aperture of 2.5 μm, 1 scotopic troland was equivalent to ~4 photoisomerizations/s/rod.

Construction of cone-type selective stimuli

Cone isolating stimuli (Fig. 2E–F) were obtained by the method of silent substitution (Estevez and Spekreijse, 1974, 1982) and were based on the cone absorption spectra and the stimulator primary spectra detailed above. The intensities of three primary lights were modulated and their relative irradiances adjusted (Fig. 2C–D) so that quantal catch in a subset of the cone types was modulated in isolation. To modulate the L and M cones equally but not the S cones (Fig. 2C right, 2D right), the red and greenprimaries were modulated with means and amplitudes chosen to create equivalent modulation depths (cone contrast) in both cone types. A small counter modulation of the blue primary was used offset the effects of the red and green primaries on the S cone. The primary means and amplitudes used to selectively stimulate S cone inputs followed the opposite pattern (Fig. 2C left, 2D left). Modulation of the short wavelength primary effectively modulated S cones, while counter modulations of the long and middle wavelength primaries offset the effect of the blue primary on the L and M cones.. The primary LED and DLP stimuli shown in Figure 2E–F were calculated to give cone contrasts (amplitude/mean) of 48% and 16%, respectively, around a matched mean quantal catch for all three cone types. (LM)-S and LMS cone isolating stimuli were generated using the same principles. All stimuli were presented as a 2000 μm diameter spot whose intensity was sinusoidally modulated at a temporal frequency of 2 Hz. For the intracellular recordings cone isolating stimuli were generated as outlined above but a much higher cone contrast (~80%) was achieved by modulating around a mean quantal catch that differed for each cone type (L:M:S = ~ 9:7:1)(Fig. 2G and Fig. 7A, B).

Figure 7

Blue-ON cells balanced and co-extensive S and LM inputs were not dependent on inhibitory amacrine cells. A–C, Voltage responses and spike histograms to cone-isolating pulses as described in Figure 2 recorded before (above in A, B, and C) and after (more ...)

Estimating cone synaptic weights

To determine the relative strengths of the S and LM cone inputs to a blue-ON cell’s receptive field, we systematically varied the sign and depth of S and LM cone modulation while holding mean quantal catch equal for all three cone types (Fig. 4A). Underlying this stimulus design is the assumption that, at low to moderate contrasts under conditions of equivalent adaptation states across cone types, inputs from different cone types contribute linearly to the response of the cell. If this assumption is true, it should be possible to fit the response with a simple linear model relating calculated cone contrast to response amplitude. This model has been described in detail previously and used to measure the relative weights of synaptic input to the H1 horizontal cells and the midget and parasol ganglion cells (Dacey et al., 2000a; Diller et al., 2004).

Figure 4

Relative S and LM input weights are equal based on linear fit estimates to data collected in response to systematic variations in the contrast and phase of S and LM cone isolating stimuli. A, The contrast and phase of LM (thin lines) and S cone (thick (more ...)

The amplitude of the sinusoidal modulation of each primary was chosen to create a set of 13 stimuli whose S and LM contrasts arevaried systematically (Fig. 4A). Initially, S and LM cone contrast are equal and of the same sign. S cone contrast is then reducedto zero in a stepwise manner while LM cone contrast is increased to a peak (LM cone isolation). S cone contrast then is reversed in sign (equivalent to a 180 degree phase shift) and is increased until LM and S contrast are equal and in antiphase (LM)-S). LM contrast is then reduced to zero while S cone contrast peaks (S cone isolation). Finally, the two cone contrasts are returned to the same sign and in the last stimulus are again of equal contrast. For a cell that received equally weighted LM OFF and S ON inputs (Figure 4B) a response null would occur when LM and S cones are stimulated equally and in the same phase (first and last points, Fig 4B) and a peak response when LM and S cone contrasts areequal and opposite in phase (point 7, Fig. 4B). If the S input dominated the peak response would occur at point greater than 7 or vice versa. The relative strengths were calculated by fitting the responses with a weighted sum of S and LM cone inputs to determine the peak:

where W_S and W_(LM) are the weights of the cone inputs, and C_S and C_(LM) are the contrasts of the stimulus.

Finally, this model predicts that the phase of an opponent response would be constant, while the phases of LM and S non-opponent responses would show a 180 degree phase shift at the stimulus whose contrast ratio produced a response minimum.

Spatial stimuli and receptive field model

The S and LM components of the blue-ON receptive field were mapped using cone isolating drifting sinusoidal gratings of increasing spatial frequency, spots of increasing diameter, or annuli of increasing inner diameter. To center the stimulus on the cell’s receptive field, the cell body was first placed in the middle of the stimulus field. Horizontal and vertical fine diameter slits (10 or 25 μm width) were then systemically moved to further locate the most sensitive point in the receptive field. The location of the peak response was defined to be the receptive field center; stimuli were positioned relative to this point. In cases where intracellular dye-filling was coupled with receptive field mapping this point typically corresponded to the approximate center of a circle encompassing both the inner and outer dendritic tiers of the bistratified tree. Stimuli were modulated at a temporal frequency of 2 or 4 Hz. Contrast (L_MAX − L_MIN)/(L_MAX + L_MIN) of gratings, spots and annuli was set to 28% or 36% and was modulated around a mean level that equated the quantal catch for all three cone types. The first Fourier (F1) components of the harmonic responses were averaged over 8 or 12 stimulus repetitions and fit with a Gaussian or a Difference of Gaussians (DOG) receptive field model that incorporates both the amplitude and phase of the neural response (Enroth-Cugell et al., 1983) as described in detail previously (Dacey et al., 2000b). In brief, the receptive field center had a radial profile C(r),

where W_c is the gain of the center and R_c is the radius of the center (where sensitivity has fallen to 1/e of its peak). The amplitude of responses to stimulus modulation was computed as the two-dimensional integral of the product of the receptive field and stimulus profiles. Control responses to S and LM gratings were fit with only a center, responses to LM gratings in the presence of L-AP-4 were fit with a center and a surround S(r), with gain W_s and radius R_s. The overall amplitude and phase of the responses were computed by combining the center, and if appropriate, the surround responses with the equation,

where A_c and A_s are the amplitudes of center and surround responses and theta_c and theta_s are the phases of their responses at the temporal frequency of the stimulus modulation. Initial fitting parameters were manually set, and numerical search was used to minimize the mean square difference between the measured and predicted responses.

Contrast Response Functions

The contrast sensitivity and gain values for the blue-ON cell’s S and LM inputs and for parasol cells’ LM inputs (parasol cells did not respond to the S cone isolating stimuli) were measured and calculated using the same cone isolating stimuli described above with gratings of optimal spatial and temporal frequency. The gratings were presented at contrasts ranging from 2–28% or 2–38% depending on the background light level. The blue-ON cell’s S and LM contrast response functions were fit with a line by least-squares regression of which the slope indicated the contrast gain. The parasol cells contrast response functions were fit with a Naka-Rushton saturation function:

Where (a) is the maximal response in impulses per second; (x), the Michelson contrast; and (b), the semisaturation constant (the contrast at which response amplitude is half the maximal response). Such curves are characterized by their percent contrast gain, a/b.

Temporal modulation

The temporal sensitivities and latencies of the S and LM components of the receptive field were characterized using the LED stimulator. Full field cone-isolating stimuli were sinusoidally modulated at temporal frequencies ranging from 0.61 – 78 Hz. The contrast was set to 24% or 48%. The mean light level equated the quantal catch for all three cone types. Responses were averaged for 4 seconds at each temporal frequency. The F1 phase was found to be an approximately linear function of the temporal frequency and its slope (cycles/Hz) was used as a measure of the cell’s visual latency (Frishman et al., 1987).

Pharmacology

The circuitry underlying the receptive field of the blue-ON ganglion cell was investigated with pharmacological agents. The role of inner retinal inhibition was investigated with the glycine receptor antagonist strychnine (1 μM, S8753, Sigma Chemical Co., St Louis, MO) and the GABA_A/C receptor antagonist picrotoxin (200 μM, P1675-1G, Sigma Chemical Co.). The role of outer retinal inhibition was tested by adding the pH buffer HEPES (20 mM, H7523, Sigma Chemical Co.) to Ames with the pH adjusted to 7.4. The metabotropic glutamate receptor agonist, L-AP-4 (100 μM, A1910, Sigma Chemical Co.) was used to block the ON pathway at the photoreceptor-bipolar synapse. All pharmacological agents were dissolved in Ames medium and applied to the entire retina by continuous superfusion. We waited ~ 4 minutes for full drug effect and typically recorded for ~ 30 minutes before wash out (Crook et al., 2008).

Results

Targeting small bistratified blue-ON cells

Small bistratified, blue-ON cells were targeted in vitro by their relatively large cell bodies comparable to that of the parasol ganglion cells (Dacey, 1993; Dacey, et al., 1994) observed either by epiillumination after vital staining with acridine orange or by infrared illumination of the unstained retina. Blue-ON cells were easily distinguished from parasol cells by sustained OFF responses to 500 ms light steps using the red or green LED primary and sustained ON responses to the blue LED primary. Parasol cells and other non-opponent cell types (Crook et al., 2008) showed transient responses that varied in amplitude but did not change in sign in response to the LED primary lights. A large bistratified blue-ON cell (Dacey and Packer, 2003) would have had responses similar to a small bistratified blue-ON but these cells show smaller cell body size and have significantly larger receptive fields than those mapped for the small bistratified blue-ON cells. Altogether we include data collected from 89 blue-ON cell recordings. For a subset of these cells we mapped S and LM receptive fields, compared S and LM sensitivity and ran a series of pharmacology experiments. The effect of the inhibitory receptor antagonists, picrotoxin and strychnine, was tested on 17 cells, L-AP-4 was tested on 22 cells either alone or in combination with the inhibitory antagonists, and for 3 cells that had been tested with picrotoxin, strychnine and L-AP4, HEPES was also applied. Rod inputs were characterized in an additional 16 cells. Finally, data from cells recorded intracellularly (n = 6) were also included.

Identification of a rod-mediated ON input to blue-ON cells

One of the main goals of this study was to measure the relative weights and spatial dimensions of S-ON and LM-OFF input to the small bistratified blue-ON cell. However the stimuli used to isolate the S vs LM cone inputs described in the Methods can also provide strong stimulation of rods. Conflicting reports describe a distinctive excitatory rod input (Virsu et al., 1987) or an apparent lack of rod input for cells of the blue-ON pathway (Lee et al., 1997). At the start of an experiment the macaque in vitro preparation was maintained in a dark adapted state and when first recording from a blue-ON cell we often observed strong ON responses to both S and LM cone isolating stimuli in identified small bistratified cells at retinal illuminances (<10¹ photoisomerizations/cone/s) below the threshold for cone-mediated responses in our preparation (Dacey et al., 2005). Since additivity of rod and cone signals at mesopic levels in ganglion cells has been well documented (Gouras and Link, 1966; Gouras, 1967; Enroth-Cugell et al., 1977; Lee et al., 1997) it thus became critical to provide a preliminary characterization of this apparent rod input and, crucially, to determine the illuminance at which rod signals in our in vitro preparation could potentially interact with and effect our measurement of cone signal properties. The response of a blue-ON cell to a 1500 ms blue or green primary LED light step shows a dramatic change in temporal response as a transition is made from cone dominated to a rod dominated response over a 4 log unit illuminance range (Fig. 3A) that spans the mesopic level (~0–3 log₁₀ photopic trolands). At mid photopic levels (~10³–10⁴ photoisomerizations/cone/s) a sustained ON response to the blue primary and an OFF response to the green primary are observed and these responses are presumably driven primarily by an S-ON response to the blue and an LM-OFF response to the green primary (Fig. 3A, top traces). Latency from blue stimulus onset (or green stimulus offset) to first spike is ~40–60 ms (Fig. 3B, top traces). As retinal illuminance is reduced however from ~10⁴–10¹ photoisomerizations/cone/s the OFF response to the green primary is replaced by an ON response (n = 16). Thus at ~5–10 photoisomerizations/cone/s both the blue and green stimuli elicit similar, sustained ON responses (Fig. 3A, bottom traces). At this light level the rod quantal catch dominates and the latency from stimulus onset to spike threshold increases to ~150–200 ms (Fig. 3B, bottom traces). At intermediate illuminances (Fig. 3A, middle traces; 10³–10² photoisomerizations/cone/s) the rod-ON and LM-OFF responses are not easily distinguished and there appears to be some mixing of the two signals. The large latency difference between the rod and cone dominated responses was also manifest in the temporal frequency response to sinusoidal modulation at high vs low retinal illuminances (Fig. 3C). At low illuminances the rod mediated response peaked at 2 Hz, rolling off sharply between 4–7 Hz compared to the cone mediated response peak at ~10 Hz, rolling off between 40 and 50 Hz. Response latency derived from linear fits to response phase was about 5 times slower (177 ± 36 ms, mean ± sd; n = 10) than cone latencies (40 ± 3 ms, mean ± sd; n = 20). Finally at the low retinal illuminances eliciting a sustained ON response to both the blue and green LED primaries, bath application of L-AP4, the mGluR6 receptor agonist, completely eliminated the ON light response (n = 2) consistent with an origin of this signal from the depolarizing rod bipolar cell (Fig. 3D). These results provide evidence for a strong rod mediated ON input to the small bistratified blue-ON cells. Below cone threshold the light response is converted from an S-ON, LM-OFF response to a rod-ON response. From cone threshold to rod saturation (between 10²–10³ photoisomerizations/cone/s) there is potential for interaction of the rod-ON input with the S and LM cone inputs. Given the large difference between the rod and cone signal dynamics the nature of this interaction would be dependent on the stimulus temporal frequency as well as the illuminance level. At 10⁴ photoisomerizations/cone/s and above we assume rods are in saturation; we believe this is a safe assumption as psychophysical experiments show that saturation of primate scotopic vision begins when a background light reaches around 100 scotopic trolands (Hayhoe et al., 1976); this is ~400 photoisomerizations/cone/s, and is consistent with recordings from individual primate rods (Baylor et al., 1984). We have employed stimuli well above this level for all subsequent measurements of cone responses in the small bistratified blue-ON cells.

Figure 3

Blue-ON cells have rod-ON responses at low retinal illuminances. A, Blue-ON responses to 1500 ms blue and green primary LED light steps measured across a 4 log unit illuminance range with the integrated irradiance (photons/s/μm²) of the blue primary (more ...)

Weighting of S-ON vs LM-OFF input to the blue-ON cells

The balance and linearity of S ON vs LM OFF inputs to the blue-ON cell was assessed with two different protocols. As a first rough test cone-isolating pulses were modulated at 16% contrast in the following combinations; S, L+M (LM), L+M+S (LMS) and LM-S, the negative sign indicating a 16% contrast decrement. For a cell with balanced inputs the S ON and LM OFF responses should be equal and for a linear cell the LM-S response should equal the sum of individual S ON and LM OFF responses while an LMS stimulus would elicit no net modulation. For a typical response, shown in Figure 2H, the calculated Fundamental Fourier (F1) response amplitude to modulation of the S cone = 20 spikes/s, LM cones = 21 spikes/s, (LM-S)-cones = 41 spikes/s, and no significant response to inphase modulation of all three cones (LMS). This result was consistent across cells and showed that at low contrasts blue-ON cells receive relatively equally weighted (S:LM = 1.16 ± 0.24, mean ± sd, median = 1.13; n = 67; Table 1) and linear (LM-S: S+LM = 0.86 ± 0.14, mean ± sd, median = 0.87; n = 67; Table 1) S and LM inputs.

Table 1

Summary of effects of GABAa/c and glycine receptor antagonists on the chromatic responses properties of the blue-ON cell.

A second stimulus protocol was designed to quantify the relative S vs LM cone input weights more systematically. Complete datasets were achieved in a subset of 51 cells in the total sample of 89 in which cone weights were estimated. The stimulus varied S and LM cone contrast and phase stepwise from equal cone contrasts in phase to equal contrasts in anti-phase (Fig. 4A). The data was fit by a simple linear model of cone summation (Diller et al., 2004) and is described in detail in the Methods (see also Fig. 4 caption). As expected, blue-ON cells peak response typically occurred when the S and LM cones were modulated at equal depth (equal cone contrasts) and in anti-phase and the response minimum was reached when the cones were modulated at equal depth and in phase (Fig. 4B). Assuming linear summation, the fit quantifies the S:LM weight. Thus for the cell illustrated in Figure 4B the calculated S:LM cone input weight equaled 0.97. S and LM normalized and averaged response amplitudes and phases were averaged to give an input weight ratio (S:LM) of 1.09 ± 0.21 (mean ± sd; median = 1.56; n = 51)(Fig. 4C, Table 1).

S and LM cone contrast and temporal sensitivity

The relative balance of S and LM inputs was also tested at a range of lower and higher contrasts and temporal frequencies. Contrast sensitivity was compared using S and LM cone-isolating stimuli between 2–38% which were the maximal cone contrasts that we could achieve on a background of equal mean quantal catch for all three cone types. Both LM and S responses increased linearly with contrast (Fig. 5A). The slope of a straight line fit to the data was used to quantify contrast gain (Fig. 5B). The average contrast gain for the S was 1.26 ± 0.49 (mean ± sd; n = 8) and for the LM input 1.25 ± 0.25 (mean ± sd; n = 8). These overlap with contrast gain values calculated from extracellular recordings of L vs M and S vs LM opponent cells in the intact animal (Yeh et al., 1995; Solomon et al., 2005; Tailby et al., 2008) and were somewhat lower than that for the well studied magnocellular-projecting ganglion cells in response to an achromatic stimulus (Crook, et al., 2008). To illustrate this distinct difference we recorded from neighboring magnocellular projecting parasol cells using the same LM stimulus (parasol cells did not respond to S cone isolating stimuli) at an optimal spatial and temporal frequency (10.5 Hz). Parasol cells show extreme sensitivity to low contrasts with response amplitudes more than doubling to two-fold increases in contrast (Fig. 5A, squares). The parasol cell contrast response functions were well fit with Naka-Rushton saturation functions (see Methods) and contrast gain values were calculated from the initial linear portion of the curve. On average the contrast gain was 4.85 ± 0.37 (mean ± sd; n = 3).

Figure 5

Blue-ON cells S and LM receptive fields have similar contrast and temporal sensitivities. A, Average contrast response functions measured with low spatial frequency (0.047 cpd) gratings with S (solid circles, n = 4) and LM (open circles, n = 4) cone isolating (more ...)

We compared LM and S temporal sensitivities by measuring temporal modulation transfer functions with cone isolating stimuli. A 2 mm diameter field was sinusoidally modulated at 25–48% contrast at temporal frequencies ranging from 0.61–78 Hz. S-ON and LM-OFF inputs were both sensitive to temporal frequencies up to 60 Hz with similar peak responses (S cone = 11 ± 7 Hz and LM cone = 7 ± 2 Hz, mean ± sd; n = 20)(Fig. 5C). The inset plots the corresponding phase data for one cell. The phases of the S and LM inputs were initially approximately 180 degrees offset and converged with increasing temporal frequency. For each cell the linear portion of the phase data was fit with a straight line to calculate the latency. For the cell shown in the inset to Figure 5C, the S input latency was 42 ms and the LM 48 ms. Across cells the response to S cone stimuli showed slightly shorter latencies than that for LM stimuli (S mean latency ± sd = 40 ± 3 ms; LM mean latency ± sd = 46 ± 3 ms; n = 20)(Fig. 5D). Our data are roughly consistent with those reported from measurements using comparable stimuli made in the intact eye in vivo (e.g. Yeh et al., 1995). In Yeh et al, latencies of ~35 ms were found for both the S and LM cone driven responses at comparable light levels to those used here. The reason for this discrepancy is unclear though it could reflect effects of the in vitro maintenance on the temporal sensitivity of the retina. We have observed anecdotally a profound effect of retinal temperature on the response dynamics; while we attempt to keep our in vitro retinas as close to physiological temperature as possible (typically ~35–36 deg C) it is only possible to monitor temperature and a location in the superfusion chamber relatively distant from the recording site so precise temperatures and temperature fluctuations are not known. In another recent study recording from blue-ON cells in the in vitro retina much longer latencies of about 50 and 70 ms for the S and LM cone inputs respectively were reported (Field, et al., 2007). However retinal illuminance was lower in this study and latencies were calculated from time to peak of the spike-triggered average derived from a white noise stimulus so it is possible that these methodological differences also contributed to the additional deviation from that found in vivo. Overall our data are consistent with previous work from recordings in the intact animal suggesting similar temporal and contrast sensitivities for S ON and LM OFF inputs to the blue-ON ganglion cell.

Coextensive S and LM cone receptive fields

To test whether blue-ON cells had center-surround or coextensive receptive field structure the S-ON and LM-OFF receptive fields of 55 blue-ON cells were mapped with either drifting sinusoidally modulated gratings as a function of spatial frequency, or sinusoidally modulated spots and annuli as a function of increasing diameter. Regardless of stimulus both receptive fields showed similar or identical spatial tuning (Fig. 6). For drifting grating stimuli, both the S and LM spatial frequency responses were low pass (Fig. 6A, D) with comparable peak responses at the lowest spatial frequencies tested and similar high spatial frequency cut-offs. To a growing spot centered on the cells receptive field (Fig. 6B), LM and S response magnitudes together increased and peaked when the spot diameter expanded to fill an area that approximated the expected diameter of the dendritic tree of a small bistratified cell at the eccentricity of the recorded cell (Dacey, 1993). The response plateaued at this diameter (usually between 75–200 μm) remaining elevated as the spot continued to grow (Fig. 6B) suggesting little or no surround antagonism. If a surround was present, increasing spot size to encroach on the surround should attenuate the response. To an annulus centered on the cells receptive field (Fig. 6C) the maximum response for both the LM and S inputs occurred when the inner diameter was smallest (9 μm). As the annulus center increased both ON and OFF inputs rolled off with no sign of a reversal in the response phase (inset) as would be indicative of a surround. Low pass S and LM spatial frequency responses were thus well fit with a single Gaussian. Examples in Figure 6A and D show the Gaussian fits (solid lines) and the inset in each plot shows the model 2D receptive field profile and calculated Gaussian radii (μm). S and LM cone driven receptive field sizes were nearly identical (S to LM diameter ratio from the Gaussian fits = 0.92 ± 0.13, mean ± sd; median = 0.94; n = 55; Table 1) and the slope of the fit to LM vs S Gaussian radii in Figure 6E was equal to 0.97 (R² = 0.90). The peak response amplitudes (~30 spikes/s) were also typically matched for the S and LM responses (S:LM response ratio = 1.19 ± 0.38, mean ± sd; median = 1.19; n = 55). Thus the S and LM fields are well matched in both size and sensitivity.

Figure 6

Blue-ON S and LM receptive fields are low pass and nearly co-extensive. Receptive fields were mapped with LM and S cone isolating drifting gratings as a function of spatial frequency, or spots and annuli as a function of center diameter. All spatial stimuli (more ...)

To summarize, the S-ON and LM-OFF inputs show similar contrast and temporal sensitivities; the two fields are also nearly equal in area and sensitivity, consistent with a spatially coextensive pattern (Fig. 1A). To explore the retinal circuitry that generates the S-ON and LM-OFF responses (Fig. 1C) we used pharmacological manipulation to assess the role of excitatory ON pathway and inner retinal inhibitory pathway input to the small bistratified cell.

Opponent responses are not generated by inner retinal inhibitory pathways

A large percentage of inputs to the small bistratified cell are from amacrine cells (Calkins et al, 1998; Ghosh and Grunert, 1999). We therefore assessed whether inhibitory amacrine input had a major role in generating the balance of S vs LM inputs or shaping their coextensive receptive fields. We recorded responses from blue-ON cells in the presence of picrotoxin, a general GABAa/c receptor antagonist, and strychnine, a glycine receptor antagonist, both in combination and alone, using the same stimuli used to measure S vs LM input strength (Fig. 4) and receptive field spatial structure (Fig. 6). Qualitatively the intracellular and spike histogram responses to cone isolating stimuli presented in Figure 7A–C clearly illustrate that the blue-ON cell’s S and LM opponency was not greatly enhanced or attenuated in the presence of picrotoxin (Fig. 7A), strychnine (Fig. 7B), or picrotoxin and strychnine together (Fig. 7C). Further, the S and LM response amplitudes and LM-S vs LMS ratios calculated from the histograms were indistinguishable from the controls for all three conditions (Table 1). The sensitivity and balance of the S and LM cone input weights to incremental changes in contrast, measured with the protocol described in Figure 4, was also maintained. For picrotoxin and strychnine alone (Fig. 7D, E, open circles), and picrotoxin and strychnine together (Fig. 7F open circles), the responses, fits and relative S vs LM cone input weights (Table 1) overlapped the controls (Fig. 7D–F solid circles). Blocking the inhibitory pathways also had no effect on the spatial extent of the S and LM receptive fields. Using cone isolating drifting gratings the S and LM receptive fields were measured in the presence of picrotoxin (Fig. 7G), strychnine (Fig. 7H), and picrotoxin and strychnine together (Fig. 7I). For each condition the S and LM spatial frequency responses remained low pass, coextensive and well fit with a Gaussian receptive field model (solid lines). These results are summarized in Table 1, showing the S:LM radii and integrated volumes ratios. For all 3 conditions there was no change compared to the controls. Overall blue-ON cells remained opponent (Fig. 7A–C) with equally weighted S and LM inputs (Fig. 7D–F) and with intact, approximately co-extensive, low pass LM and S receptive fields (Fig. 7G–I). However, for the intracellular recordings to high contrast S vs LM cone modulation (Fig. 7A–C, upper traces) we noted subtle changes to S and LM amplitudes and kinetics after blocking GABAergic inhibition. In the presence of picrotoxin both the S and LM responses increased in amplitude, quantified as the amplitude Fourier component of the voltage response at the stimulus frequency (Fig. 7A; picrotoxin/control S = 1.63 ± 0.14 and LM = 1.44 ± 0.22, mean ± sd; n = 3). The LM responses also hyperpolarized more slowly at the onset of the light stimulus (Fig. 7A). The width of the LM response, measured at 1/3 the maximum response amplitude, increased from 264 ± 10 ms to 316 ± 13 ms (mean ± sd; n = 3) while the width of the S response was unchanged, from 246 ± 4 ms to 245 ± 8 ms (mean ± sd; n = 3). In the presence of strychnine the light responses were not significantly changed in amplitude (Fig 7B; strychnine/control S = 0.92 ± 0.12 and LM = 1.04 ± 0.07, mean ± sd; n = 3) or width (S control = 241 ± 6 ms and S strychnine = 243 ± 8 ms; LM control = 257 ± 14 ms and LM strychnine = 252 ± 19 ms, mean ± sd; n = 3). We conclude that inner retinal inhibitory pathways may play a role in shaping the amplitude and dynamics of the S and LM response but that these pathways are not essential for generating the LM-OFF component of the blue-ON cell response.

ON pathway block isolates an LM OFF field with center-surround organization

To directly test the hypothesis that input from the ON pathway generates the small bistratified cell’s S-ON response and that the LM-OFF response arises from a parallel OFF bipolar pathway synaptic input (Calkins et al., 1998; Ghosh and Grunert, 1999) we recorded responses to cone-isolating stimuli in the presence of the mGluR6 receptor agonist L-AP-4 to block ON pathway transmission (Slaughter and Miller, 1981). The LAP-4 was also applied in combination with strychnine and picrotoxin to isolate excitatory OFF pathway input to the small bistratified cell. The addition of L-AP-4 abolished the SON response while sparing the LM-OFF response. Robust LM-OFF responses of similar amplitude were recorded to LM, LM-S and LMS cone modulation (Fig. 8A). With S-ON input blocked the LM-S and LMS stimuli now elicited responses equivalent to pure LM stimuli. In 22 out of 22 blue-ON cells we recorded only LM-OFF responses in the presence of L-AP-4 or L-AP-4, picrotoxin and strychnine.

Figure 8

The receptive field of the LM OFF input isolated with L-AP-4 shows center-surround organization. A, Voltage responses and spike histograms to full field cone isolating pulses as described in Figure 2 (2 Hz, 16% contrast) before (above) and after (below) (more ...)

After elimination of the S-ON response by L-AP-4 we mapped the spatial receptive field of the isolated LM-OFF input for 13 cells and found responses at low spatial frequencies were strongly attenuated, indicating the presence of surround antagonism not observed when the S-ON component was present in the control situation. The presence of a surround in the isolated LM response was confirmed using spot and annular stimuli. Thus a 300 μm diameter spot elicited the expected LM-OFF response, but a 300 μm inner diameter annulus elicited an LM-ON response (Fig. 8B). The surround was clearly observed by centering a spot on the cell’s receptive field and increasing its inner diameter. Initially, like the control, responses increased and peaked as the size of the spot covered the center but with increasing spot size the response amplitude decreased as the spot grew and stimulated the antagonistic surround (Fig. 8C). Similarly the control LM OFF response to an annulus of increasing inner diameter peaks and then declines (Fig. 8D, open circles) with no change in response phase (Fig. 8D inset, open circles). By contrast, in the presence of L-AP-4, picrotoxin and strychnine the LM-OFF response initially peaks but then declines until the annulus inner diameter reaches ~150 μm and isolates an LM-ON surround response as indicated by an approximately 180° shift in the response phase. (Fig. 8D inset, solid circles). The LM-ON response then peaks and declines as the inner diameter increases further (Fig. 8D, solid circles). Finally, in the presence of either L-AP-4 alone (Fig. 8E, left column) or L-AP-4 and the GABAa/c and glycine receptor antagonists (Fig. 8E, right column), low spatial frequency drifting gratings stimulated the broad antagonistic surround changing the spatial tuning from low pass to band pass. L-AP-4 thus shifted the average peak response from a low spatial frequency (control: 0.047 ± 0 cpd; mean ± sd; n = 13) to a much higher spatial frequency (0.461 ± 0.217 cpd; mean ± sd; n = 13). The resulting spatial frequency responses were best fit with a Difference-of-Gaussian receptive field model rather than the single Gaussian model used for the controls (Fig. 8E). From the fits the surround was estimated to be on average ~4 times larger than the center (control center radius/center radius after L-AP-4 alone, 1.35 ± 0.16 (mean ± sd; n = 7) and after L-AP-4, picrotoxin and strychnine, 1.34 ± 0.42 (mean ± sd; n = 6). The average sensitivity, measured as the amplitude of the peak response, was unchanged but more variable with the blockers present (control: 37 ± 9 spikes/s vs drug: 34 ± 17 spikes/s; mean ± sd; n = 13). Thus, responses in the presence of either L-AP-4 alone or L-AP-4, picrotoxin and strychnine reveal that blue-ON cells receive S-ON input via the ON pathway and are consistent with LM input from OFF cone bipolar cells that have center-surround organization. A hypothesis for the appearance of the surround in the LM OFF pathway when the ON pathway is blocked will be considered in the Discussion.

LM-ON surround may originate from a non-GABAergic feedback pathway

The surround response was robust in the presence of either L-AP4 alone or L-AP-4 with strychnine and picrotoxin (Fig. 8E). The lack of effect of inner retinal inhibitory block on the center-surround structure of the isolated LM-OFF response suggested that a non-GABAergic and non-glycinergic pathway generated the surround. In previous studies we showed that the cone-driven surrounds of parasol ganglion cells were also maintained after block of inner retinal inhibition (McMahon et al., 2004) but could be significantly attenuated by increasing the buffering capacity of the retina (Davenport et al., 2008) consistent with the interpretation that the surround was mediated by a novel non-GABAergic outer retinal feedback mechanism (Kamermans and Spekreijse, 1999; Hirasawa and Kaneko, 2003; Kamermans and Fahrenfort, 2004). We therefore used a similar protocol here, by adding HEPES buffer (20 mM) to the Ames medium to measure its effect on the center-surround organization for three of the cells in which the LM-OFF response had been isolated by L-AP-4, picrotoxin and strychnine. The addition of HEPES attenuated the LM-ON response leaving only the center LM-OFF response intact (Fig. 9A, B), and with wash out of HEPES the LM-ON responses were partially recovered (Fig. 9B). With HEPES buffering, the peak response to drifting gratings also now occurred at the lowest spatial frequency again (0.047 cpd), like the original LM field, and the low pass spatial frequency responses were fit with a Gaussian model (Fig. 9C). The results for the cell in Figure 9C are summarized in the 2D Gaussian receptive field profiles (Fig. 9D) showing the LM receptive field before drug application (control, far left), the center and surround LM receptive field in the presence of L-AP-4, strychnine and picrotoxin (middle) and after the addition of HEPES (attenuating the LM-ON surround; right). Similar measurements for 2 other cells were also made and showed the same pattern (see Fig. 9D caption). Thus, much like that shown previously for the LM surround of parasol ganglion cells (Davenport et al., 2008) the ‘unmasked’ ON-surround of the LM-OFF pathway input to the blue-ON cells may be mediated by non-GABAergic outer retinal feedback (Kamermans and Spekreijse, 1999; Kamermans and Fahrenfort, 2004; Cadetti and Thoreson, 2006).

Figure 9

In the presence of L-AP-4 the isolated LM surround was sensitive to HEPES. A, In the presence of L-AP-4, picrotoxin and strychnine the isolated LM input responds to the offset of a 300 μm spot and to the onset of an annulus with a 300 μm (more ...)

Discussion

Identification of Rod-ON input to small bistratified blue-ON cell

After dark adaptation rod input to the small bistratified cell is clearly present (Fig. 3). The sign of the rod signal follows that of the S-ON input: when rod input prevails the blue-ON yellow-OFF cell becomes a rod-ON cell. These results confirm an early observation of strong excitatory rod input to blue-ON cell relay cells recorded in the parvocellular LGN (Virsu et al., 1987), though a more recent study failed to observe a rod signal in blue-ON ganglion cells (Lee et al, 1997). In the primary rod pathway the depolarizing AII amacrine cell receives input from the rod bipolar cell and transmits the rod signal to ON cone bipolar cells via a sign-conserving gap junction and to OFF cone bipolar cells by a sign-inverting glycinergic synapse (Famiglietti and Kolb, 1975; Muller et al., 1988; Strettoi et al., 1992). The rod-ON response of the blue-ON ganglion cell could thus be mediated by an AII amacrine gap junction with the blue cone bipolar axon terminal; a preliminary report suggests such a contact is present (Marshak et al., 2009). By contrast our data suggest a lack of the glycinergic synapse from the AII cell outer dendrites to the LM-OFF bipolar cell population(s) that are presynaptic to the small bistratified outer dendrites (Ghosh et al., 1997; Calkins et al., 1998). In this regard there is growing evidence that certain mammalian bipolar cell types may not participate in the primary rod pathway (Volgyi et al., 2004; Petrides and Trexler, 2008). The degree to which rod signals might be restricted to distinct ON and OFF cone bipolar pathways remains to be investigated in the primate. The rod-ON input to the blue-ON cell is consistent with a large body of human psychophysical data suggesting that rods interact synergistically with S-cones at mesopic levels to introduce a blue-bias to color appearance (review:(Buck, 2004). However the current results do not exclude a rod-OFF input that is masked by a larger rod-ON signal or that arises at lower scotopic levels. Experiments that pharmacologically isolate potential ON and OFF components of the rod signal near threshold are needed to carefully address this question.

Blue-ON cells show spatially coextensive receptive field structure

Recording from the small bistratified cells in the choroid-attached in vitro retina we found that the S-ON and LM-OFF responses were spatially coextensive, or nearly so (Fig. 6), that the contrast gain and temporal response of the opponent fields were comparable (Fig. 5), and that at low to moderate cone contrasts LM and S cone inputs appear to sum linearly (Fig. 4). These results are broadly consistent with previous descriptions of the blue-ON cell at both the LGN (Wiesel and Hubel, 1966; Dreher et al., 1976; Derrington et al., 1984; Tailby et al., 2008) and retinal levels (DeMonasterio and Gouras, 1975; DeMonasterio, 1978a; Smith et al., 1992; Yeh et al., 1995; Lee et al., 2000; Solomon et al., 2005; Tailby et al., 2008). The spatially comparable S-ON and LM-OFF fields of the blue-ON cell contrast sharply with the classic center-surround receptive field structure of the other two common LGN-projecting ganglion cells of the primate -the midget and parasol cells (Derrington and Lennie, 1984; Croner and Kaplan, 1995; White et al., 2001) where surrounds are about fifty times the area of but 100 times less sensitive (per unit area) than the center and the integrated sensitivity (peak sensitivity × collecting area) is only about half that of the center. Consequently the center response dominates even for stimuli that encompass the much larger surround (Croner and Kaplan, 1995). For the blue-ON cells the opposing fields were comparable both in area and peak sensitivity (Fig. 6; Table 1) so that stimuli approximating the size of the dendritic tree can drive both S-ON and LM-OFF responses equally. There is a tendency for the LM-OFF field to be on average slightly larger than the S-ON field (S:LM = 0.92 ± 0.15; n = 55) and a similar result was reported using the intact, anesthetized animal (Solomon et al., 2005). Another recent study using multielectrode recordings from the isolated, in vitro retina reported the LM field to be on average 48% larger (~ 2 times the area) than the S field and concluded that the blue-ON cells showed a classic center-surround organization (Field et al, 2007). Field et al. (2007) did not report the relative sensitivities of the S vs the LM fields or construct a center-surround spatial receptive field model so it is difficult to assess this data further in relation to our own. It is possible that eccentricity dependent changes in blue-ON receptive field structure could reconcile differences across studies. In the present and previous results coextensive S vs LM fields in either the LGN or retina of blue-ON cells were recorded within the central 20 degrees (< 4 mm eccentricity). By contrast the data in Field et al. (2007) were collected in the far retinal periphery (30–75 degrees eccentricity). Chromatic sensitivity in human vision declines significantly in the far periphery (Mullen, 1991; Mullen and Kingdom, 1996; Sakurai and Mullen, 2006). Whether blue-ON cells show reduced chromatic and/or increased achromatic sensitivity in the retinal periphery remains to be determined.

OFF cone bipolar origin for the LM field

Sparing of the LM OFF response after L-AP-4 application is consistent with OFF bipolar synaptic input to the distinct outer dendritic arbor of the small bistratified cell (Fig. 1)(Calkins, et al., 1998; Ghosh and Grunert, 1999). Our results appear inconsistent with a reported total loss of the blue-ON cell light response and maintained discharge in the presence of L-AP-4 (Field et al., 2007). We would argue caution in interpreting these results. The action of L-AP-4 on mGluR6 mimics tonic glutamate release and hyperpolarizes the ON bipolar cell (Awatramani and Slaughter, 2001) and subsequently the ON ganglion cell (Zaghloul et al., 2003; Davenport, 2007; Margolis and Detwiler, 2007). Thus if L-AP-4 hyperpolarizes the blue-ON cell the LM OFF input may not drive the membrane potential to spike threshold. Our recordings were made in the RPE-choroid-attached retina and permitted stimulation at high photopic levels. Under these conditions maintained discharge and the LM-OFF response were consistently spared after bath application of L-AP-4.

Failure of picrotoxin and/or strychnine to significantly modify the S ON or LM OFF response amplitude was also consistent with an excitatory cone bipolar origin for the LM OFF field and we suggest that amacrine circuitry is not critical for generating S vs LM cone opponency. The majority of synaptic inputs to the small bistratified cell are from amacrine cells however (Ghosh and Grunert, 1999) so the significance of these inputs remains open. There is strong evidence that inner retinal inhibition to some extent works in a push-pull fashion to reinforce excitation and that the OFF pathway, at least for certain ganglion cell types, receives more inhibition from the ON pathway than vice versa (Pang et al., 2003; Zaghloul et al., 2003; Murphy and Rieke, 2006; Margolis and Detwiler, 2007; Molnar and Werblin, 2007; Manookin et al., 2008). It seems unlikely that the S-ON bipolar would drive such ‘cross-pathway’ amacrine inhibition to the LM-OFF bipolar as this would work against the basic cone opponent response in which S increments reinforce LM decrements. It is possible however that disinhibition that arises in LM ON cone bipolar cells reinforces the LM OFF response - though at the high photopic levels and moderate contrasts used here we did not observe a change in the LM OFF response relative to the S ON response after inhibitory block (Fig. 7). Whole cell recordings of blue-ON cells under voltage clamp designed to measure the phase and amplitude of excitatory and inhibitory conductances generated by S and LM selective stimuli can now directly address this question.

A striking but consistent effect of L-AP-4 was the dramatic change in the LM-OFF response to band pass spatial frequency tuning that could be fit with a center-surround receptive field model (Fig. 8). This center-surround structure was maintained during block of inhibition but was attenuated by increasing retinal buffering capacity with HEPES (Fig. 9). Surround reduction by HEPES buffering has been described in non-mammalian retina and it has been suggested that HEPES acts on a proton-dependent, non-GABAergic horizontal to cone feedback pathway (Hirasawa and Kaneko, 2003; Vessey et al., 2005; Cadetti and Thoreson, 2006). The surrounds of parasol ganglion cells are also maintained after block of retinal inhibition (McMahon et al., 2004) but attenuated by HEPES (Davenport, et al., 2008). We suggest therefore that L-AP-4 unmasks the basic center-surround structure of the LM-OFF bipolar input to the blue-ON cell, consistent with the presence of surrounds in cone bipolar cells (Dacey et al., 2000b). What underlies the unmasking of this basic center-surround structure by L-AP-4? We hypothesize that the S-ON bipolar cell also possesses an LM OFF surround and that under conditions where S-ON and LM-OFF fields are functioning there is no or little net surround antagonism (Fig. 10). The LM-OFF surround of the S-ON bipolar would arise by feedback from H2 horizontal cells, whose processes contact S, L and M cones. The LM-ON surround of the LM-OFF bipolar would arise by feedback from the H1 horizontal cell that contacts L and M cones non-selectively (Dacey et al., 1996; Goodchild et al., 1996). The light response of the ‘blue-cone’ bipolar cell (Kouyama and Marshak, 1992) is unknown. However the S cone already possesses a large opponent surround driven by L and M cones (Packer et al., 2007) that is likely transmitted to the SON bipolar and in turn to the small bistratified ganglion cell.

Figure 10

Hypothesized circuitry for the origin of coextensive cone-opponent receptive field structure by summation of S ON and LM OFF cone bipolar inputs with center-surround receptive field structure. The S ON bipolar (left) inherits LM OFF surround created by (more ...)

Acknowledgments

This work was supported by the Paul Kayser International Award from the Retina Research Foundation (D.M.D.), the Human Frontiers Science Program Grant RGP 00067/2004-C (P.B.D.), the National Primate Research Center at the University of Washington, RR00166 and National Institutes of Health Grants, EY06678 (D.M.D.); EY01730, (Vision Research Core); EY02048, (P.B.D.) and GM07108, (C.M.D.). We thank Julian Vrieslander for programming assistance through the Vision Core and the development of the Vision Core Toolbox (http://vrc.biostr.washington.edu/index.html). We also thank John Troy and Barry Lee for advice and discussion and Toni Haun for technical assistance.

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