Bayesian inference in populations of cortical neurons: A model of motion integration and segmentation in area MT

DOI10.1007/S004220050502zbMath0914.92003DBLPjournals/bc/KoechlinAB99OpenAlexW1975087331WikidataQ48288234 ScholiaQ48288234MaRDI QIDQ1280711

Etienne Koechlin, Yves Burnod, Jean Luc Anton

Publication date: 18 May 1999

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s004220050502

zbMATH Keywords

motion perceptioncortical physiologylateral connectionsmedio-temporal area

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Neural biology (92C20)

Related Items (6)

Disambiguating Visual Motion Through Contextual Feedback Modulation ⋮ Efficient Computation Based on Stochastic Spikes ⋮ Exact Inferences in a Neural Implementation of a Hidden Markov Model ⋮ Bayesian Computation in Recurrent Neural Circuits ⋮ A neurally plausible model of the dynamics of motion integration in smooth eye pursuit based on recursive Bayesian estimation ⋮ Cortical Circuitry Implementing Graphical Models

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