Tim Gollisch

12 papers A* 1Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Filter-based models of suppression in retinal ganglion cells: Comparison and generalization across species and stimuli.
PLoS Comput. Biol.
Neda Shahidi, Fernando Rozenblit, Mohammad H. Khani, Helene M. Schreyer, Matthias Mietsch, Dario A. Protti, Tim Gollisch
2024 J jnl
Applying Super-Resolution and Tomography Concepts to Identify Receptive Field Subunits in the Retina.
PLoS Comput. Biol.
Steffen Krüppel, Mohammad H. Khani, Helene M. Schreyer, Shashwat Sridhar, Varsha Ramakrishna, Sören J. Zapp, Matthias Mietsch, Dimokratis Karamanlis, Tim Gollisch
2024 A* conf
Most discriminative stimuli for functional cell type clustering.
ICLR
Max F. Burg, Thomas Zenkel, Michaela Vystrcilová, Jonathan Oesterle, Larissa Höfling, Konstantin F. Willeke, Jan Lause, Sarah Müller, Paul G. Fahey, Zhiwei Ding, Kelli Restivo, Shashwat Sridhar, Tim Gollisch, Philipp Berens, Andreas S. Tolias, Thomas Euler, Matthias Bethge, Alexander S. Ecker
2024 J jnl
Most discriminative stimuli for functional cell type identification.
CoRR
Max F. Burg, Thomas Zenkel, Michaela Vystrcilová, Jonathan Oesterle, Larissa Höfling, Konstantin F. Willeke, Jan Lause, Sarah Müller, Paul G. Fahey, Zhiwei Ding, Kelli Restivo, Shashwat Sridhar, Tim Gollisch, Philipp Berens, Andreas S. Tolias, Thomas Euler, Matthias Bethge, Alexander S. Ecker
2024 J jnl
Neuronal Temporal Filters as Normal Mode Extractors.
CoRR
Siavash Golkar, Jules Berman, David Lipshutz, Robert Mihai Haret, Tim Gollisch, Dmitri B. Chklovskii
2022 J jnl
Simple model for encoding natural images by retinal ganglion cells with nonlinear spatial integration.
PLoS Comput. Biol.
Jian K. Liu, Dimokratis Karamanlis, Tim Gollisch
2018 J jnl
Bioinspired Approach to Modeling Retinal Ganglion Cells Using System Identification Techniques.
IEEE Trans. Neural Networks Learn. Syst.
Philip J. Vance, Gautham P. Das, Dermot Kerr, Sonya A. Coleman, T. Martin McGinnity, Tim Gollisch, Jian K. Liu
2016 J jnl
Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains.
PLoS Comput. Biol.
Arno Onken, Jian K. Liu, P. P. Chamanthi R. Karunasekara, Ioannis Delis, Tim Gollisch, Stefano Panzeri
2015 J jnl
Spike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the Retina.
PLoS Comput. Biol.
Jian K. Liu, Tim Gollisch
2013 J jnl
Spike-triggered covariance: geometric proof, symmetry properties, and extension beyond Gaussian stimuli.
J. Comput. Neurosci.
Inés Samengo, Tim Gollisch
2008 J jnl
Modeling convergent ON and OFF pathways in the early visual system.
Biol. Cybern.
Tim Gollisch, Markus Meister
2003 J jnl
Analyzing mechanosensory transduction by identifying invariant directions in stimulus space.
Neurocomputing
Tim Gollisch, Andreas V. M. Herz