Browsing by Author "Chariker, Logan"
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Item Open Access A case study in the functional consequences of scaling the sizes of realistic cortical models(PLOS Computational Biology) Joglekar, Madhura R; Chariker, Logan; Shapley, Robert; Young, Lai-SangItem Open Access A Computational Model of Direction Selectivity in Macaque V1 Cortex Based on Dynamic Differences between On and Off Pathways(The Journal of Neuroscience, 2022-04-20) Chariker, Logan; Shapley, Robert; Hawken, Michael; Young, Lai-SangItem Open Access A theory of direction selectivity for macaque primary visual cortex(Proceedings of the National Academy of Sciences, 2021-08-10) Chariker, Logan; Shapley, Robert; Hawken, Michael; Young, Lai-SangSignificance Motion perception is important for primates, and direction selectivity (DS), the ability to perceive the direction a target is moving, is an essential part of motion perception. Yet no satisfactory mechanistic explanation has been proposed for the origin of DS in the primate visual cortex up until now. In this paper, we hypothesize that DS is initiated in feed-forward LGN input as a result of the dynamic differences between the ON and OFF pathways. The mechanisms we propose are biology based, and our theory explains experimental data for all spatial and temporal frequencies in visual stimuli. Exploiting temporal biases in parallel pathways is relevant beyond visual neuroscience; similar ideas likely apply to other types of neural signal processing.Item Open Access Contrast response in a comprehensive network model of macaque V1(Journal of Vision, 2020-04-24) Chariker, Logan; Shapley, Robert; Young, Lai-SangItem Open Access Orientation Selectivity from Very Sparse LGN Inputs in a Comprehensive Model of Macaque V1 Cortex(The Journal of Neuroscience, 2016-12-07) Chariker, Logan; Shapley, Robert; Young, Lai-SangItem Open Access Rhythm and Synchrony in a Cortical Network Model(The Journal of Neuroscience, 2018-10-03) Chariker, Logan; Shapley, Robert; Young, Lai-SangItem Open Access Time evolution of a mean-field generalized contact process(Journal of Statistical Mechanics: Theory and Experiment, 2022-02-01) Chariker, Logan; Lebowitz, Joel LAbstract We investigate the macroscopic time evolution and stationary states of a mean field discrete voltage neuron model, or equivalently, a generalized contact process in R d . The model is described by a coupled set of nonlinear integral-differential equations. It was inspired by a model of neurons with discrete voltages evolving by a stochastic integrate and fire mechanism. We obtain a complete solution in the spatially uniform case and partial solutions in the general case. The system has one or more fixed points and also traveling wave solutions.