Behavioral Classification of Sequential Neural Activity Using Time Varying Recurrent Neural Networks

Behavioral Classification of Sequential Neural Activity Using Time Varying Recurrent Neural Networks

Shifts in data distribution across time can strongly affect early classification of time-series data. When decoding behavior from neural activity, early detection of behavior may help in devising corrective neural stimulation before the onset of behavior. Recurrent neural networks are common models...

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Bibliographic Details
Main Authors: Yongxu Zhang, Catalin Mitelut, David J. Arpin, David Vaillancourt, Timothy Murphy, Shreya Saxena
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Sequential classification
neural activity
widefield calcium imaging
fMRI
recurrent neural networks
gradient vanishing/exploding
Online Access:https://ieeexplore.ieee.org/document/11071857/
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