Pathway-specific asymmetries between on and off visual signals
Open accessPublished version of a preprint
Abstract
Visual processing is largely organized into ON and OFF pathways that signal stimulus increments and decrements, respectively. These pathways exhibit natural pairings based on morphological and physiological similarities, such as ON and OFF α-ganglion cells in the mammalian retina. Several studies have noted asymmetries in the properties of ON and OFF pathways. For example, the spatial receptive fields (RFs) of OFF α-cells are systematically smaller than ON α-cells. Analysis of natural scenes suggests that these asymmetries are optimal for visual encoding. To test the generality of ON/OFF asymmetries, we measured the spatiotemporal RF properties of multiple RGC types in rat retina. Through a quantitative and serial classification, we identified three functional pairs of ON and OFF RGCs. We analyzed the structure of their RFs and compared spatial integration, temporal integration, and gain across ON and OFF pairs. Similar to previous results from the cat and primate, RGC types with larger spatial RFs exhibited briefer temporal integration and higher gain. However, each pair of ON and OFF RGC types exhibited distinct asymmetric relationships between RF properties, some of which were opposite to the findings of previous reports. These results reveal the functional organization of six RGC types in the rodent retina and indicate that ON/OFF asymmetries are pathway specific. SIGNIFICANCE STATEMENT Circuits that process sensory input frequently process increments separately from decrements, so-called ON and OFF responses. Theoretical studies indicate that this separation, and associated asymmetries in ON and OFF pathways, may be beneficial for encoding natural stimuli. However, the generality of ON and OFF pathway asymmetries has not been tested. Here we compare the functional properties of three distinct pairs of ON and OFF pathways in the rodent retina and show that their asymmetries are pathway specific. These results provide a new view on the partitioning of vision across diverse ON and OFF signaling pathways.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the rat retina, putative ON brisk transient and OFF brisk transient cells formed reasonably complete mosaics covering the region recorded and had properties broadly resembling those of ON and OFF parasol cells in the macaque retina.
“In the rat retina, analysis was restricted to two RGC types – putative ON brisk transient and OFF brisk transient cells identified by their receptive fields and spiking autocorrelation (Ravi et al., 2018) – which formed reasonably complete mosaics covering the region recorded and had properties broadly resembling those of ON and OFF parasol cells in the macaque retina.”
From Precise control of neural activity using dynamically optimized electrical stimulation (2024) · cites this paper as Ravi et al., 2018
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680 · see citing works
DISCHARGE PATTERNS AND FUNCTIONAL ORGANIZATION OF MAMMALIAN RETINA
Kuffler, S. W. (1953) · Journal of Neurophysiology · doi:10.1152/jn.1953.16.1.37 · Cited by 2,609 · see citing works
Possible Principles Underlying the Transformations of Sensory Messages
Barlow, H. B. (2012) · The MIT Press eBooks · doi:10.7551/mitpress/9780262518420.003.0013 · Cited by 1,318 · see citing works
Sparse Coding and Decorrelation in Primary Visual Cortex During Natural Vision
Vinje, W. E., & Gallant, J. L. (2000) · Science · doi:10.1126/science.287.5456.1273 · Cited by 1,288 · see citing works
Functional architecture of the mammalian retina
Wässle, H., & Boycott, B. B. (1991) · Physiological Reviews · doi:10.1152/physrev.1991.71.2.447 · Cited by 1,093 · see citing works
The functional diversity of retinal ganglion cells in the mouse
Baden, T., Berens, P., Franke, K., Román Rosón, M., Bethge, M., & Euler, T. (2016) · Nature · doi:10.1038/nature16468 · Cited by 999 · see citing works
THE RESPONSE OF SINGLE OPTIC NERVE FIBERS OF THE VERTEBRATE EYE TO ILLUMINATION OF THE RETINA
Hartline, H. K. (1938) · American Journal of Physiology-Legacy Content · doi:10.1152/ajplegacy.1938.121.2.400 · Cited by 966 · see citing works
The Types of Retinal Ganglion Cells: Current Status and Implications for Neuronal Classification
Sanes, J. R., & Masland, R. H. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-034120 · Cited by 789 · see citing works
A simple white noise analysis of neuronal light responses
Chichilnisky, E. J. (2001) · Network Computation in Neural Systems · doi:10.1080/net.12.2.199.213 · Cited by 788 · see citing works
Self-citationThe mosaic of nerve cells in the mammalian retina
Wässle, H., & Riemann, H. J. (1978) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.1978.0026 · Cited by 546 · see citing works
Dendritic field size and morphology of midget and parasol ganglion cells of the human retina.
Dacey, D. M., & Petersen, M. R. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.20.9666 · Cited by 495 · see citing works
Brisk and sluggish concentrically organized ganglion cells in the cat's retina
Cleland, B. G., & Levick, W. R. (1974) · The Journal of Physiology · doi:10.1113/jphysiol.1974.sp010617 · Cited by 487 · see citing works
The mosaic of midget ganglion cells in the human retina
Dacey, D. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-12-05334.1993 · Cited by 480 · see citing works
The Structure of Multi-Neuron Firing Patterns in Primate Retina
Shlens, J., Field, G. D., Gauthier, J. L., Grivich, M. I., Petrusca, D., Sher, A., Litke, A. M., & Chichilnisky, E. J. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.1282-06.2006 · Cited by 471 · see citing works
Self-citationLinear and nonlinear spatial subunits in Y cat retinal ganglion cells.
Hochstein, S., & Shapley, R. M. (1976) · The Journal of Physiology · doi:10.1113/jphysiol.1976.sp011595 · Cited by 471 · see citing works
Functional Asymmetries in ON and OFF Ganglion Cells of Primate Retina
Chichilnisky, E. J., & Kalmar, R. S. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-07-02737.2002 · Cited by 463 · see citing works
Self-citationYger, P., Spampinato, G. L., Esposito, E., Lefebvre, B., Deny, S., Gardella, C., Stimberg, M., Jetter, F., Zeck, G. M., Picaud, S. A., et al. (2018) · eLife · doi:10.7554/elife.34518 · Cited by 431 · see citing works
Parasol and midget ganglion cells of the human retina
Rodieck, R. W., Binmoeller, K. F., & Dineen, J. T. (1985) · The Journal of Comparative Neurology · doi:10.1002/cne.902330107 · Cited by 413 · see citing works
Prediction and Decoding of Retinal Ganglion Cell Responses with a Probabilistic Spiking Model
Pillow, J. W., Paninski, L., Uzzell, V., Simoncelli, E. P., & Chichilnisky, E. J. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.3305-05.2005 · Cited by 364 · see citing works
Self-citationInformation Processing in the Primate Retina: Circuitry and Coding
Field, G. D., & Chichilnisky, E. J. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.30.051606.094252 · Cited by 364 · see citing works
Self-citationDeAngelis, G. C., Ohzawa, I., & Freeman, R. D. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.69.4.1118 · Cited by 361 · see citing works
Keat, J., Reinagel, P., Reid, R. C., & Meister, M. (2001) · Neuron · doi:10.1016/s0896-6273(01)00322-1 · Cited by 328 · see citing works
Morphology and topography of on- and off-alpha cells in the cat retina
Wässle, H., Peichl, L., & Boycott, B. B. (1981) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.1981.0032 · Cited by 322 · see citing works
The most numerous ganglion cell type of the mouse retina is a selective feature detector
Zhang, Y., Kim, I.-J., Sanes, J. R., & Meister, M. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1211547109 · Cited by 316 · see citing works
Mosaic Arrangement of Ganglion Cell Receptive Fields in Rabbit Retina
DeVries, S. H., & Baylor, D. A. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.78.4.2048 · Cited by 313 · see citing works
What can mice tell us about how vision works?
Huberman, A. D., & Niell, C. M. (2011) · Trends in Neurosciences · doi:10.1016/j.tins.2011.07.002 · Cited by 313 · see citing works
Dendritic territories of cat retinal ganglion cells
Wässle, H., Peichl, L., & Boycott, B. B. (1981) · Nature · doi:10.1038/292344a0 · Cited by 311 · see citing works
Inhibition decorrelates visual feature representations in the inner retina
Franke, K., Berens, P., Schubert, T., Bethge, M., Euler, T., & Baden, T. (2017) · Nature · doi:10.1038/nature21394 · Cited by 300 · see citing works
Parasol and midget ganglion cells of the primate retina
WATANABE, M., & Rodieck, R. W. (1989) · The Journal of Comparative Neurology · doi:10.1002/cne.902890308 · Cited by 290 · see citing works
Rats maintain an overhead binocular field at the expense of constant fusion
Wallace, D. J., Greenberg, D. S., Sawinski, J., Rulla, S., Notaro, G., & Kerr, J. N. D. (2013) · Nature · doi:10.1038/nature12153 · Cited by 289 · see citing works
Tracer coupling patterns of the ganglion cell subtypes in the mouse retina
Völgyi, B., Chheda, S., & Bloomfield, S. A. (2008) · The Journal of Comparative Neurology · doi:10.1002/cne.21912 · Cited by 281 · see citing works
Litke, A. M., Bezayiff, N., Chichilnisky, E. J., Cunningham, W. R., Dąbrowski, W., Grillo, A. A., Grivich, M., Gryboś, P., Hottowy, P., Kachiguine, S., et al. (2004) · IEEE Transactions on Nuclear Science · doi:10.1109/tns.2004.832706 · Cited by 279 · see citing works
Self-citationNew properties of rabbit retinal ganglion cells.
Caldwell, J. H., & Daw, N. W. (1978) · The Journal of Physiology · doi:10.1113/jphysiol.1978.sp012232 · Cited by 263 · see citing works
Receptive field structure in the primate retina
Lee, B. B. (1996) · Vision Research · doi:10.1016/0042-6989(95)00167-0 · Cited by 238 · see citing works
Different Circuits for ON and OFF Retinal Ganglion Cells Cause Different Contrast Sensitivities
Zaghloul, K. A., Boahen, K. A., & Demb, J. B. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-07-02645.2003 · Cited by 232 · see citing works
The spatial structure of a nonlinear receptive field
Schwartz, G. W., Okawa, H., Dunn, F. A., Morgan, J., Kerschensteiner, D., Wong, R., & Rieke, F. M. (2012) · Nature Neuroscience · doi:10.1038/nn.3225 · Cited by 226 · see citing works
Recording spikes from a large fraction of the ganglion cells in a retinal patch
Segev, R., Goodhouse, J., Puchalla, J., & Berry, M. J. (2004) · Nature Neuroscience · doi:10.1038/nn1323 · Cited by 221 · see citing works
Different Mechanisms Generate Maintained Activity in ON and OFF Retinal Ganglion Cells
Margolis, D. J., & Detwiler, P. B. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.0130-07.2007 · Cited by 217 · see citing works
Physiological identification of a morphological class of cat retinal ganglion cells.
Cleland, B. G., Levick, W. R., & Wässle, H. (1975) · The Journal of Physiology · doi:10.1113/jphysiol.1975.sp010967 · Cited by 212 · see citing works
Retina is structured to process an excess of darkness in natural scenes
Ratliff, C. P., Borghuis, B. G., Kao, Y., Sterling, P., & Balasubramanian, V. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005846107 · Cited by 207 · see citing works
Decorrelation and efficient coding by retinal ganglion cells
Pitkow, X., & Meister, M. (2012) · Nature Neuroscience · doi:10.1038/nn.3064 · Cited by 199 · see citing works
Spatiotemporal Receptive Field Organization in the Lateral Geniculate Nucleus of Cats and Kittens
Cai, D., DeAngelis, G. C., & Freeman, R. D. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.78.2.1045 · Cited by 192 · see citing works
Network Variability Limits Stimulus-Evoked Spike Timing Precision in Retinal Ganglion Cells
Murphy, G. J., & Rieke, F. M. (2006) · Neuron · doi:10.1016/j.neuron.2006.09.014 · Cited by 191 · see citing works
Field, G. D., Sher, A., Gauthier, J. L., Greschner, M., Shlens, J., Litke, A. M., & Chichilnisky, E. J. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.3437-07.2007 · Cited by 185 · see citing works
Self-citationBorghuis, B. G., Marvin, J. S., Looger, L. L., & Demb, J. B. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1241-13.2013 · Cited by 185 · see citing works
“Black” Responses Dominate Macaque Primary Visual Cortex V1
Yeh, C.-I., Xing, D., & Shapley, R. M. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1991-09.2009 · Cited by 173 · see citing works
Mapping a Complete Neural Population in the Retina
Marre, O., Amodei, D., Deshmukh, N. R., Sadeghi, K., Soo, F. S., Holy, T. E., & Berry, M. J. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0723-12.2012 · Cited by 173 · see citing works
Y-Cell Receptive Field and Collicular Projection of Parasol Ganglion Cells in Macaque Monkey Retina
Crook, J. D., Peterson, B. B., PACKER, O. S., Robinson, F. R., Troy, J. B., & Dacey, D. M. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.2982-08.2008 · Cited by 166 · see citing works
A genetic and computational approach to structurally classify neuronal types
Sümbül, U., Song, S., McCulloch, K. J., Becker, M., Lin, B., Sanes, J. R., Masland, R. H., & Seung, H. S. (2014) · Nature Communications · doi:10.1038/ncomms4512 · Cited by 161 · see citing works
Spatiotemporal frequency responses of cat retinal ganglion cells.
Frishman, L. J., Freeman, A. W., Troy, J. B., Schweitzer‐Tong, D. E., & Enroth‐Cugell, C. (1987) · The Journal of General Physiology · doi:10.1085/jgp.89.4.599 · Cited by 154 · see citing works
Alpha and delta ganglion cells in the rat retina
Peichl, L. (1989) · The Journal of Comparative Neurology · doi:10.1002/cne.902860108 · Cited by 152 · see citing works
DeVries, S. H., & Baylor, D. A. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.23.10658 · Cited by 150 · see citing works
Identification and Characterization of a Y-Like Primate Retinal Ganglion Cell Type
Petrusca, D., Grivich, M. I., Sher, A., Field, G. D., Gauthier, J. L., Greschner, M., Shlens, J., Chichilnisky, E. J., & Litke, A. M. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.2836-07.2007 · Cited by 148 · see citing works
Self-citationBenefits of Pathway Splitting in Sensory Coding
Gjorgjieva, J., Sompolinsky, H., & Meister, M. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1032-14.2014 · Cited by 137 · see citing works
Topology of ON and OFF inputs in visual cortex enables an invariant columnar architecture
Lee, K.-S., Huang, X., & Fitzpatrick, D. (2016) · Nature · doi:10.1038/nature17941 · Cited by 133 · see citing works
Elstrott, J., Anishchenko, A., Greschner, M., Sher, A., Litke, A. M., Chichilnisky, E. J., & Feller, M. B. (2008) · Neuron · doi:10.1016/j.neuron.2008.03.013 · Cited by 132 · see citing works
Self-citationAlpha ganglion cells in the rabbit retina
Peichl, L., Buhl, E. H., & Boycott, B. B. (1987) · The Journal of Comparative Neurology · doi:10.1002/cne.902630103 · Cited by 128 · see citing works
Fidelity of the Ensemble Code for Visual Motion in Primate Retina
Frechette, E. S., Sher, A., Grivich, M. I., Petrusca, D., Litke, A. M., & Chichilnisky, E. J. (2005) · Journal of Neurophysiology · doi:10.1152/jn.01175.2004 · Cited by 125 · see citing works
Self-citationRetinal mosaics: new insights into an old concept
Cook, J. E., & Chalupa, L. M. (2000) · Trends in Neurosciences · doi:10.1016/s0166-2236(99)01487-3 · Cited by 125 · see citing works
Bayesian microsaccade detection
Mihali, A., van Opheusden, B., & Ma, W. J. (2017) · Journal of Vision · doi:10.1167/17.1.13 · Cited by 123 · see citing works
Large-scale morophological survey of rat retinal ganglion cells
Sun, W., LI, N., & He, S. (2002) · Visual Neuroscience · doi:10.1017/s0952523802194107 · Cited by 121 · see citing works
Cytoarchitecture of the retinal ganglion cells in the rat.
Danias, J., Shen, F., Goldblum, D., et al. (2002) · PubMed · Cited by 117 · see citing works
High-sensitivity rod photoreceptor input to the blue-yellow color opponent pathway in macaque retina
Field, G. D., Greschner, M., Gauthier, J. L., Rangel, C., Shlens, J., Sher, A., MARSHAK, D. W., Litke, A. M., & Chichilnisky, E. J. (2009) · Nature Neuroscience · doi:10.1038/nn.2353 · Cited by 115 · see citing works
Self-citationEfficient Coding of Spatial Information in the Primate Retina
Doi, E., Gauthier, J. L., Field, G. D., Shlens, J., Sher, A., Greschner, M., Machado, T. A., Jepson, L. H., Mathieson, K., Gunning, D. E., et al. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.4036-12.2012 · Cited by 109 · see citing works
Self-citationNeuronal and Perceptual Differences in the Temporal Processing of Darks and Lights
Komban, S. J., Kremkow, J., Jin, J., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.02.020 · Cited by 108 · see citing works
van Wyk, M., Taylor, W. R., & Vaney, D. I. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.1991-06.2006 · Cited by 105 · see citing works
The plunging cavities formed by the impinged jet after the entry of a sphere into water
Wei, Z., & Hu, C. (2014) · Journal of Visualization · doi:10.1007/s12650-013-0194-x · Cited by 103 · see citing works
Faster Thalamocortical Processing for Dark than Light Visual Targets
Jin, J., Wang, Y., Lashgari, R., Swadlow, H. A., & Alonso, J. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2456-11.2011 · Cited by 96 · see citing works
Zhang, J., & Diamond, J. S. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5602-08.2009 · Cited by 96 · see citing works
Physiological clustering of visual channels in the mouse retina
Farrow, K., & Masland, R. H. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00331.2010 · Cited by 96 · see citing works
Classification of Retinal Ganglion Cells: A Statistical Approach
Carcieri, S., Jacobs, A. L., & Nirenberg, S. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00127.2003 · Cited by 95 · see citing works
Troy, J. B., & Shou, T. (2002) · Progress in Retinal and Eye Research · doi:10.1016/s1350-9462(02)00002-2 · Cited by 92 · see citing works
Berman, N. J., & Maler, L. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.6.3173 · Cited by 92 · see citing works
Synaptic Rectification Controls Nonlinear Spatial Integration of Natural Visual Inputs
Turner, M. H., & Rieke, F. M. (2016) · Neuron · doi:10.1016/j.neuron.2016.05.006 · Cited by 91 · see citing works
Mapping nonlinear receptive field structure in primate retina at single cone resolution
Freeman, J., Field, G. D., Li, P. H., Greschner, M., Gunning, D. E., Mathieson, K., Sher, A., Litke, A. M., Paninski, L., Simoncelli, E. P., et al. (2015) · eLife · doi:10.7554/elife.05241 · Cited by 90 · see citing works
Self-citationEfficient coding of natural images with a population of noisy Linear-Nonlinear neurons.
Karklin, Y., & Simoncelli, E. P. (2011) · PubMed · Cited by 84 · see citing works
Davis, N. T., Veenstra, J. A., Feyereisen, R., & Hildebrand, J. G. (1997) · The Journal of Comparative Neurology · doi:10.1002/(sici)1096-9861(19970825)385:2 · Cited by 82 · see citing works
Die Retina im Rausch der Kanäle
(2017) · Klinische Monatsblätter für Augenheilkunde · doi:10.1055/s-0043-104423 · Cited by 80 · see citing works
Fast, Scalable, Bayesian Spike Identification for Multi-Electrode Arrays
Prentice, J., Homann, J., Simmons, K. D., Tkačik, G., Balasubramanian, V., & Nelson, P. (2011) · PLoS ONE · doi:10.1371/journal.pone.0019884 · Cited by 70 · see citing works
Morphological comparisons between outer and inner ramifying alpha cells of the albino rat retina
Tauchi, M., Morigiwa, K., & Fukuda, Y. (1992) · Experimental Brain Research · doi:10.1007/bf02259129 · Cited by 62 · see citing works
Symmetry Breakdown in the ON and OFF Pathways of the Retina at Night: Functional Implications
Pandarinath, C., Victor, J. D., & Nirenberg, S. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.5616-09.2010 · Cited by 61 · see citing works
Visual Stimulation Reverses the Directional Preference of Direction-Selective Retinal Ganglion Cells
Rivlin‐Etzion, M., Wei, W., & Feller, M. B. (2012) · Neuron · doi:10.1016/j.neuron.2012.08.041 · Cited by 55 · see citing works
Uniform Signal Redundancy of Parasol and Midget Ganglion Cells in Primate Retina
Gauthier, J. L., Field, G. D., Sher, A., Shlens, J., Greschner, M., Litke, A. M., & Chichilnisky, E. J. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5294-08.2009 · Cited by 53 · see citing works
Self-citationAla‐Laurila, P., & Rieke, F. M. (2014) · Current Biology · doi:10.1016/j.cub.2014.10.028 · Cited by 51 · see citing works
Spatial receptive field properties of rat retinal ganglion cells
Heine, W. F., & Passaglia, C. L. (2011) · Visual Neuroscience · doi:10.1017/s0952523811000307 · Cited by 49 · see citing works
Receptive Field Mosaics of Retinal Ganglion Cells Are Established Without Visual Experience
Anishchenko, A., Greschner, M., Elstrott, J., Sher, A., Litke, A. M., Feller, M. B., & Chichilnisky, E. J. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00896.2009 · Cited by 47 · see citing works
Self-citationOn temporal codes and the spatiotemporal response of neurons in the lateral geniculate nucleus
Golomb, D., Kleinfeld, D., Reid, R. C., Shapley, R. M., & Shraiman, B. I. (1994) · Journal of Neurophysiology · doi:10.1152/jn.1994.72.6.2990 · Cited by 45 · see citing works
Cooper, E. A., & Norcia, A. M. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004268 · Cited by 40 · see citing works
How Do Efficient Coding Strategies Depend on Origins of Noise in Neural Circuits?
Brinkman, B. A. W., Weber, A. I., Rieke, F. M., & Shea‐Brown, E. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005150 · Cited by 40 · see citing works
Buldyrev, I., & Taylor, W. R. (2012) · The Journal of Physiology · doi:10.1113/jphysiol.2012.243113 · Cited by 39 · see citing works
Functional Asymmetries in Cockroach ON and OFF Olfactory Receptor Neurons
Burgstaller, M., & Tichy, H. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00785.2010 · Cited by 33 · see citing works
Pons, C., Mazade, R. E., Jin, J., Dul, M. W., Zaidi, Q., & Alonso, J. (2017) · Journal of Vision · doi:10.1167/17.14.5 · Cited by 31 · see citing works
Clarke, S. E., Longtin, A., & Maler, L. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4988-13.2014 · Cited by 30 · see citing works
Yu, W., Grzywacz, N. M., Lee, E.-J., & Field, G. D. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00826.2016 · Cited by 30 · see citing works
Self-citationNirenberg, S., Bomash, I., Pillow, J. W., & Victor, J. D. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00878.2009 · Cited by 25 · see citing works
Fast, Scalable, Bayesian Spike Identification for Multi-Electrode Arrays
Prentice, J., Homann, J., Simmons, K. D., Tkačik, G., Balasubramanian, V., & Nelson, P. (2011) · Biophysical Journal · doi:10.1016/j.bpj.2010.12.723 · Cited by 24 · see citing works
The functional asymmetry of ON and OFF channels in the perception of contrast
Jiang, Y., Purushothaman, G., & Casagrande, V. A. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00560.2015 · Cited by 23 · see citing works
Cowan, C. S., Sabharwal, J., & Wu, S. (2016) · Physiological Reports · doi:10.14814/phy2.12952 · Cited by 20 · see citing works
Mechanisms controlling the formation of retinal mosaics
Novelli, E., Resta, V., & Galli‐Resta, L. (2004) · Progress in brain research · doi:10.1016/s0079-6123(04)47011-3 · Cited by 17 · see citing works
Scholl, B., Pattadkal, J. J., Rowe, A. H., & Priebe, N. J. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00779.2016 · Cited by 16 · see citing works
Girman, S. V., & Lund, R. D. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00517.2010 · Cited by 14 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Dacey D (2004) Origins of perception: retinal ganglion cell diversity and the creation of parallel visual pathways. In: The cognitive neurosciences (Gaz- zaniga MS, ed), pp 281-301. Cambridge, MA: MIT.
Cited by
Sorted by citations
Precise control of neural activity using dynamically optimized electrical stimulation
Shah, N. P., Phillips, A., Madugula, S., Lotlikar, A., Gogliettino, A. R., Hays, M. R., Grosberg, L., Brown, J., Dusi, A., Tandon, P., et al. (2024) · eLife · doi:10.7554/elife.83424 · Cited by 15 · see citing works
Self-citation
- Authors
- Ravi, S., Ahn, D., Greschner, M., Chichilnisky, E. J., & Field, G. D.
- Affiliations
- Duke University (US)
- Salk Institute for Biological Studies (US)
- Carl von Ossietzky Universität Oldenburg (DE)
- Stanford Medicine (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2018-09-24
- Volume
- 38
- Issue
- 45
- Pages
- 9728-9740
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6222062
- OpenAlex
- W2952238330
- Cited by
- 63
- References
- 101
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 10 · 2023: 7 · 2022: 14 · 2021: 7 · 2020: 5 · 2019: 6 · 2018: 2 · 2017: 1
- FWCI
- 2.98
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Whitehall Foundation
- Karl Kirchgessner Foundation
- National Institutes of Health
- National Eye Institute (P30EY019005, R01EY017992, R01EY027193, R01EY024567, R01EY021271)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Retinal Development and Disorders
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- ON and OFF pathways, retinal ganglion cells, receptive fields, spatial integration, temporal integration, gain, rodent retina
- MeSH terms
- Action Potentials, Animals, Photic Stimulation, Random Allocation, Retinal Ganglion Cells, Visual Pathways, Rats, Long-Evans, Rats
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review