Jonathan D. Victor

发表

Frontiers in Computational Neuroscience Computational Neuroscience

Chethan Pandarinath, Sheila Nirenberg, Illya Bomash, 2022 .

Efficient coding of natural scene statistics predicts discrimination thresholds for grayscale textures

Jonathan D. Victor, Mary M. Conte, Tiberiu Tesileanu, 2019, bioRxiv.

Relation Between Potassium-Channel Kinetics and the Intrinsic Dynamics in Isolated Retinal Bipolar Cells

Jonathan D. Victor, Bu-Qing Mao, Peter R. MacLeish, 2002, Journal of Computational Neuroscience.

Sensitivity to grayscale textures is adapted to natural scene statistics

Jonathan D. Victor, Mary M. Conte, Tiberiu Tesileanu, 2019, 1912.05433.

Information-geometric measure of 3-neuron firing patterns characterizes scale-dependence in cortical networks

Jonathan D. Victor, Ifije E. Ohiorhenuan, J. Victor, 2011, Journal of Computational Neuroscience.

AN EXTENSION OF THE M-SEQUENCE TECHNIQUE FOR THE ANALYSIS OF MULTI-INPUT NONLINEAR SYSTEMS

Jonathan D. Victor, Ethan A. Benardete, J. Victor, 1994 .

Spike Train Analysis Toolkit: Enabling Wider Application of Information-Theoretic Techniques to Neurophysiology

Daniel Gardner, David H. Goldberg, Jonathan D. Victor, 2009, Neuroinformatics.

Indices for Testing Neural Codes

Sheila Nirenberg, Jonathan D. Victor, J. Victor, 2008, Neural Computation.

Dynamics of coupled thalamocortical modules

Jonathan D. Victor, Nicholas D. Schiff, Jonathan D. Drover, 2010, Journal of Computational Neuroscience.

Editorial Note

Alain Destexhe, Jonathan D. Victor, Alain Destexhe, 2010, Journal of Computational Neuroscience.

Two-Dimensional Hermite Filters Simplify the Description of High-Order Statistics of Natural Images

Qin Hu, Jonathan D. Victor, 2016 .

Spike Train Distance

Jonathan D. Victor, J. Victor, 2019, Encyclopedia of Computational Neuroscience.

Information theory in neuroscience

Aurel A. Lazar, Jonathan D. Victor, Alexander G. Dimitrov, 2011, Journal of Computational Neuroscience.

Nonlinear autoregressive analysis of the 3/s ictal electroencephalogram: implications for underlying dynamics

Jonathan D. Victor, Nicholas D. Schiff, Annemarie Canel, 2004, Biological Cybernetics.

Dipole characterization of single neurons from their extracellular action potentials

Jonathan D. Victor, Ferenc Mechler, F. Mechler, 2011, Journal of Computational Neuroscience.

Alterations of form Vision at Isoluminance Identified Through The use of Visual Textures

Jonathan D. Victor, Keith P. Purpura, 2018 .

Two-Dimensional Hermite Filters Simplify the Description of High-Order Statistics of Natural Images

Qin Hu, Jonathan D. Victor, J. Victor, 2016, bioRxiv.

Local structure theory for cellular automata

Jonathan D. Victor, H. A. Gutowitz, B. W. Knight, 1987 .

Editorial

Alain Destexhe, Jonathan D. Victor, 2009, Journal of Computational Neuroscience.

A Population Study of Integrate-and-Fire-or-Burst Neurons

Lawrence Sirovich, Jonathan D. Victor, Ahmet Omurtag, 2002, Neural Computation.

Systematic Differences Between Perceptually Relevant Image Statistics of Brain MRI and Natural Images

Ashish Raj, Jonathan D. Victor, Yueyang Xu, 2019, Front. Neuroinform..

The role of local image statistics in separating figure from ground

Jonathan D. Victor, Mary M. Conte, 2019 .

Local Structure Theory in More Than One Dimension

Jonathan D. Victor, Howard Gutowitz, J. Victor, 1987, Complex Syst..

Visual Processing of Image Statistics: Continuous vs. Categorical Representation of Local Statistics

Jonathan D. Victor, Mm Conte, 2002 .

Asymmetries between ON and OFF Cells in the Retina Interacting Linear and Nonlinear Characteristics Produce Population Coding

Sheila Nirenberg, Jonathan D. Victor, Adam L. Jacobs, 2015 .

Contextual modulation of V1 receptive fields depends on their spatial symmetry

Jonathan D. Victor, Tatyana O. Sharpee, T. Sharpee, 2009, Journal of Computational Neuroscience.

Asymptotic Bias in Information Estimates and the Exponential (Bell) Polynomials

Jonathan D. Victor, J. Victor, 2000, Neural Computation.

Characteristic nonlinearities of the 3/s ictal electroencephalogram identified by nonlinear autoregressive analysis

Jonathan D. Victor, Nicholas D. Schiff, Annemarie Canel, 1995, Biological Cybernetics.

Information-theoretic analysis of realistic odor plumes: What cues are useful for determining location?

Bard Ermentrout, Jonathan D. Victor, John P. Crimaldi, 2018, PLoS Comput. Biol..

Classification image analysis reveals different cognitive strategies for symmetry and face processing

Rebecca M. Jones, Jonathan D. Victor, Mary M. Conte, 2012 .