Time-varying generalized linear models: characterizing and decoding neuronal dynamics in higher visual areas

Time-varying generalized linear models: characterizing and decoding neuronal dynamics in higher visual areas

To create a behaviorally relevant representation of the visual world, neurons in higher visual areas exhibit dynamic response changes to account for the time-varying interactions between external (e.g., visual input) and internal (e.g., reward value) factors. The resulting high-dimensional represent...

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Bibliographic Details
Main Authors: Geyu Weng, Kelsey Clark, Amir Akbarian, Behrad Noudoost, Neda Nategh
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Computational Neuroscience
Subjects:
higher visual areas
time-varying systems
generalized linear model
encoding and decoding
behavioral readout
visual perception
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2024.1273053/full

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https://www.frontiersin.org/articles/10.3389/fncom.2024.1273053/full

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