Jian K Liu, Helene M Schreyer, Arno Onken, Fernando Rozenblit, Mohammad H Khani, Vidhyasankar Krishnamoorthy, Stefano Panzeri, Tim Gollisch. Nat Commun 2017
Times Cited: 23
Times Cited: 23
Times Cited
Times Co-cited
Similarity
The spatial structure of a nonlinear receptive field.
Gregory W Schwartz, Haruhisa Okawa, Felice A Dunn, Josh L Morgan, Daniel Kerschensteiner, Rachel O Wong, Fred Rieke. Nat Neurosci 2012
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Mapping nonlinear receptive field structure in primate retina at single cone resolution.
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Eye smarter than scientists believed: neural computations in circuits of the retina.
Tim Gollisch, Markus Meister. Neuron 2010
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Spatio-temporal correlations and visual signalling in a complete neuronal population.
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Bipolar cells contribute to nonlinear spatial summation in the brisk-transient (Y) ganglion cell in mammalian retina.
J B Demb, K Zaghloul, L Haarsma, P Sterling. J Neurosci 2001
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Synaptic Rectification Controls Nonlinear Spatial Integration of Natural Visual Inputs.
Maxwell H Turner, Fred Rieke. Neuron 2016
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Receptive fields in primate retina are coordinated to sample visual space more uniformly.
Jeffrey L Gauthier, Greg D Field, Alexander Sher, Martin Greschner, Jonathon Shlens, Alan M Litke, E J Chichilnisky. PLoS Biol 2009
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The functional diversity of retinal ganglion cells in the mouse.
Tom Baden, Philipp Berens, Katrin Franke, Miroslav Román Rosón, Matthias Bethge, Thomas Euler. Nature 2016
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Inferring hidden structure in multilayered neural circuits.
Niru Maheswaranathan, David B Kastner, Stephen A Baccus, Surya Ganguli. PLoS Comput Biol 2018
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Approach sensitivity in the retina processed by a multifunctional neural circuit.
Thomas A Münch, Rava Azeredo da Silveira, Sandra Siegert, Tim James Viney, Gautam B Awatramani, Botond Roska. Nat Neurosci 2009
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Selectivity for multiple stimulus features in retinal ganglion cells.
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Neural Circuit Inference from Function to Structure.
Esteban Real, Hiroki Asari, Tim Gollisch, Markus Meister. Curr Biol 2017
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Spike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the Retina.
Jian K Liu, Tim Gollisch. PLoS Comput Biol 2015
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Features and functions of nonlinear spatial integration by retinal ganglion cells.
Tim Gollisch. J Physiol Paris 2013
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Fast and slow contrast adaptation in retinal circuitry.
Stephen A Baccus, Markus Meister. Neuron 2002
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The most numerous ganglion cell type of the mouse retina is a selective feature detector.
Yifeng Zhang, In-Jung Kim, Joshua R Sanes, Markus Meister. Proc Natl Acad Sci U S A 2012
Yifeng Zhang, In-Jung Kim, Joshua R Sanes, Markus Meister. Proc Natl Acad Sci U S A 2012
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Segregation of object and background motion in the retina.
Bence P Olveczky, Stephen A Baccus, Markus Meister. Nature 2003
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34
The contrast sensitivity of retinal ganglion cells of the cat.
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Functional circuitry of the retinal ganglion cell's nonlinear receptive field.
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Linear and nonlinear spatial subunits in Y cat retinal ganglion cells.
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Linking the computational structure of variance adaptation to biophysical mechanisms.
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Deep Learning Models of the Retinal Response to Natural Scenes.
Lane T McIntosh, Niru Maheswaranathan, Aran Nayebi, Surya Ganguli, Stephen A Baccus. Adv Neural Inf Process Syst 2016
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Closed-loop measurements of iso-response stimuli reveal dynamic nonlinear stimulus integration in the retina.
Daniel Bölinger, Tim Gollisch. Neuron 2012
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Spike-triggered neural characterization.
Odelia Schwartz, Jonathan W Pillow, Nicole C Rust, Eero P Simoncelli. J Vis 2006
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Inferring nonlinear neuronal computation based on physiologically plausible inputs.
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Rapid neural coding in the retina with relative spike latencies.
Tim Gollisch, Markus Meister. Science 2008
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Do we know what the early visual system does?
Matteo Carandini, Jonathan B Demb, Valerio Mante, David J Tolhurst, Yang Dan, Bruno A Olshausen, Jack L Gallant, Nicole C Rust. J Neurosci 2005
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Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model.
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Perspectives on: information and coding in mammalian sensory physiology: nonlinear spatial encoding by retinal ganglion cells: when 1 + 1 ≠ 2.
Greg Schwartz, Fred Rieke. J Gen Physiol 2011
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Three Small-Receptive-Field Ganglion Cells in the Mouse Retina Are Distinctly Tuned to Size, Speed, and Object Motion.
Jason Jacoby, Gregory W Schwartz. J Neurosci 2017
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Nonlinear Spatiotemporal Integration by Electrical and Chemical Synapses in the Retina.
Sidney P Kuo, Gregory W Schwartz, Fred Rieke. Neuron 2016
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Dimensionality reduction in neural models: an information-theoretic generalization of spike-triggered average and covariance analysis.
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Receptive field center-surround interactions mediate context-dependent spatial contrast encoding in the retina.
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Using noise signature to optimize spike-sorting and to assess neuronal classification quality.
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Local and global contrast adaptation in retinal ganglion cells.
Mona M Garvert, Tim Gollisch. Neuron 2013
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Sensitivity to image recurrence across eye-movement-like image transitions through local serial inhibition in the retina.
Vidhyasankar Krishnamoorthy, Michael Weick, Tim Gollisch. Elife 2017
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Spike-triggered covariance: geometric proof, symmetry properties, and extension beyond Gaussian stimuli.
Inés Samengo, Tim Gollisch. J Comput Neurosci 2013
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The effect of contrast on the transfer properties of cat retinal ganglion cells.
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A synaptic mechanism for retinal adaptation to luminance and contrast.
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Functional connectivity in the retina at the resolution of photoreceptors.
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Circuit Mechanisms of a Retinal Ganglion Cell with Stimulus-Dependent Response Latency and Activation Beyond Its Dendrites.
Adam Mani, Gregory W Schwartz. Curr Biol 2017
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Retinal ganglion cells can rapidly change polarity from Off to On.
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Discharge patterns and functional organization of mammalian retina.
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A retinal circuit that computes object motion.
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A neuronal circuit for colour vision based on rod-cone opponency.
Maximilian Joesch, Markus Meister. Nature 2016
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Receptive fields and trigger features of ganglion cells in the visual streak of the rabbits retina.
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Modeling convergent ON and OFF pathways in the early visual system.
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Analyzing neural responses to natural signals: maximally informative dimensions.
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Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.