Esteban Real, Hiroki Asari, Tim Gollisch, Markus Meister. Curr Biol 2017
Times Cited: 14
Times Cited: 14
Times Cited
Times Co-cited
Similarity
Eye smarter than scientists believed: neural computations in circuits of the retina.
Tim Gollisch, Markus Meister. Neuron 2010
Tim Gollisch, Markus Meister. Neuron 2010
57
Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization.
Jian K Liu, Helene M Schreyer, Arno Onken, Fernando Rozenblit, Mohammad H Khani, Vidhyasankar Krishnamoorthy, Stefano Panzeri, Tim Gollisch. Nat Commun 2017
Jian K Liu, Helene M Schreyer, Arno Onken, Fernando Rozenblit, Mohammad H Khani, Vidhyasankar Krishnamoorthy, Stefano Panzeri, Tim Gollisch. Nat Commun 2017
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Local and global contrast adaptation in retinal ganglion cells.
Mona M Garvert, Tim Gollisch. Neuron 2013
Mona M Garvert, Tim Gollisch. Neuron 2013
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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
Lane T McIntosh, Niru Maheswaranathan, Aran Nayebi, Surya Ganguli, Stephen A Baccus. Adv Neural Inf Process Syst 2016
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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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Spatio-temporal correlations and visual signalling in a complete neuronal population.
Jonathan W Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M Litke, E J Chichilnisky, Eero P Simoncelli. Nature 2008
Jonathan W Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M Litke, E J Chichilnisky, Eero P Simoncelli. Nature 2008
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Synaptic Rectification Controls Nonlinear Spatial Integration of Natural Visual Inputs.
Maxwell H Turner, Fred Rieke. Neuron 2016
Maxwell H Turner, Fred Rieke. Neuron 2016
35
Inferring nonlinear neuronal computation based on physiologically plausible inputs.
James M McFarland, Yuwei Cui, Daniel A Butts. PLoS Comput Biol 2013
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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
Tom Baden, Philipp Berens, Katrin Franke, Miroslav Román Rosón, Matthias Bethge, Thomas Euler. Nature 2016
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Mapping nonlinear receptive field structure in primate retina at single cone resolution.
Jeremy Freeman, Greg D Field, Peter H Li, Martin Greschner, Deborah E Gunning, Keith Mathieson, Alexander Sher, Alan M Litke, Liam Paninski, Eero P Simoncelli,[...]. Elife 2015
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35
Closed-loop measurements of iso-response stimuli reveal dynamic nonlinear stimulus integration in the retina.
Daniel Bölinger, Tim Gollisch. Neuron 2012
Daniel Bölinger, Tim Gollisch. Neuron 2012
35
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
J B Demb, K Zaghloul, L Haarsma, P Sterling. J Neurosci 2001
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Fast and slow contrast adaptation in retinal circuitry.
Stephen A Baccus, Markus Meister. Neuron 2002
Stephen A Baccus, Markus Meister. Neuron 2002
35
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
Jeffrey L Gauthier, Greg D Field, Alexander Sher, Martin Greschner, Jonathon Shlens, Alan M Litke, E J Chichilnisky. PLoS Biol 2009
28
Segregation of object and background motion in the retina.
Bence P Olveczky, Stephen A Baccus, Markus Meister. Nature 2003
Bence P Olveczky, Stephen A Baccus, Markus Meister. Nature 2003
28
Spike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the Retina.
Jian K Liu, Tim Gollisch. PLoS Comput Biol 2015
Jian K Liu, Tim Gollisch. PLoS Comput Biol 2015
28
Inferring hidden structure in multilayered neural circuits.
Niru Maheswaranathan, David B Kastner, Stephen A Baccus, Surya Ganguli. PLoS Comput Biol 2018
Niru Maheswaranathan, David B Kastner, Stephen A Baccus, Surya Ganguli. PLoS Comput Biol 2018
28
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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28
Spatial scale and cellular substrate of contrast adaptation by retinal ganglion cells.
S P Brown, R H Masland. Nat Neurosci 2001
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Linking the computational structure of variance adaptation to biophysical mechanisms.
Yusuf Ozuysal, Stephen A Baccus. Neuron 2012
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28
Selectivity for multiple stimulus features in retinal ganglion cells.
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Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model.
Jonathan W Pillow, Liam Paninski, Valerie J Uzzell, Eero P Simoncelli, E J Chichilnisky. J Neurosci 2005
Jonathan W Pillow, Liam Paninski, Valerie J Uzzell, Eero P Simoncelli, E J Chichilnisky. J Neurosci 2005
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The types of retinal ganglion cells: current status and implications for neuronal classification.
Joshua R Sanes, Richard H Masland. Annu Rev Neurosci 2015
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Approach sensitivity in the retina processed by a multifunctional neural circuit.
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The nonlinear pathway of Y ganglion cells in the cat retina.
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Spatiotemporal elements of macaque v1 receptive fields.
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The contrast sensitivity of retinal ganglion cells of the cat.
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Functional architecture of synapses in the inner retina: segregation of visual signals by stratification of bipolar cell axon terminals.
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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
Vidhyasankar Krishnamoorthy, Michael Weick, Tim Gollisch. Elife 2017
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The projective field of retinal bipolar cells and its modulation by visual context.
Hiroki Asari, Markus Meister. Neuron 2014
Hiroki Asari, Markus Meister. Neuron 2014
21
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
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A retinal circuit that computes object motion.
Stephen A Baccus, Bence P Olveczky, Mihai Manu, Markus Meister. J Neurosci 2008
Stephen A Baccus, Bence P Olveczky, Mihai Manu, Markus Meister. J Neurosci 2008
21
Spike-triggered neural characterization.
Odelia Schwartz, Jonathan W Pillow, Nicole C Rust, Eero P Simoncelli. J Vis 2006
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Inhibition decorrelates visual feature representations in the inner retina.
Katrin Franke, Philipp Berens, Timm Schubert, Matthias Bethge, Thomas Euler, Tom Baden. Nature 2017
Katrin Franke, Philipp Berens, Timm Schubert, Matthias Bethge, Thomas Euler, Tom Baden. Nature 2017
21
Connectivity map of bipolar cells and photoreceptors in the mouse retina.
Christian Behrens, Timm Schubert, Silke Haverkamp, Thomas Euler, Philipp Berens. Elife 2016
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Slow Na+ inactivation and variance adaptation in salamander retinal ganglion cells.
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Do we know what the early visual system does?
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The neural circuit mechanisms underlying the retinal response to motion reversal.
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Predicting every spike: a model for the responses of visual neurons.
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Delayed-rectifier K channels contribute to contrast adaptation in mammalian retinal ganglion cells.
Michael Weick, Jonathan B Demb. Neuron 2011
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21
Nonlinear dynamics support a linear population code in a retinal target-tracking circuit.
Anthony Leonardo, Markus Meister. J Neurosci 2013
Anthony Leonardo, Markus Meister. J Neurosci 2013
21
Spatial segregation of adaptation and predictive sensitization in retinal ganglion cells.
David B Kastner, Stephen A Baccus. Neuron 2013
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Temporal contrast adaptation in the input and output signals of salamander retinal ganglion cells.
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Features and functions of nonlinear spatial integration by retinal ganglion cells.
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The effect of contrast on the transfer properties of cat retinal ganglion cells.
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Anticipation of moving stimuli by the retina.
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21
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.