Bayesian estimation of orientation and direction tuning captures parameter uncertainty

This study explores the efficacy of Bayesian estimation in modeling the orientation and direction selectivity of neurons in the primary visual cortex (V1). Unlike traditional methods such as least squares, Bayesian estimation adeptly handles the probabilistic nature of neuronal responses, offering r...

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Bibliographic Details
Main Authors: Zongting Wu, Stephen D. Van Hooser
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Neural Circuits
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fncir.2025.1542332/full
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