A neurally plausible model of the dynamics of motion integration in smooth eye pursuit based on recursive Bayesian estimation
type: Item
instance of: scholarly article
title: A neurally plausible model of the dynamics of motion integration in smooth eye pursuit based on recursive Bayesian estimation
zbMATH Open document ID: 1342.92042
author: D. Kharzeev
published in: Biological Cybernetics
publication date: 2009-10-12T00:00:00Z
Mathematics Subject Classification ID: 92C20
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 5613160
zbMATH Keywords: visual perception
zbMATH Keywords: motion integration
zbMATH Keywords: smooth eye pursuit
zbMATH Keywords: Bayesian estimation
Wikidata QID: Q46138247
MaRDI profile type: Publication
full work available at URL: s00422-009-0291-z
OpenAlex ID: W2062242689
cites work: Disambiguating Visual Motion Through Contextual Feedback Modulation
cites work: Bayesian inference in populations of cortical neurons: A model of motion integration and segmentation in area MT
cites work: Bayesian Computation in Recurrent Neural Circuits
cites work: A model of smooth pursuit in primates based on learning the target dynamics
DOI: 10.1007/S00422-009-0291-Z
description: scientific article; zbMATH DE number 5613160