Computational methods to study information processing in neural circuits
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Computational methods to study information processing in neural circuits. / Koren, Veronika; Bondanelli, Giulio; Panzeri, Stefano.
in: COMPUT STRUCT BIOTEC, Jahrgang 21, 11.01.2023, S. 910-922.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Review › Forschung
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TY - JOUR
T1 - Computational methods to study information processing in neural circuits
AU - Koren, Veronika
AU - Bondanelli, Giulio
AU - Panzeri, Stefano
N1 - © 2023 The Authors.
PY - 2023/1/11
Y1 - 2023/1/11
N2 - The brain is an information processing machine and thus naturally lends itself to be studied using computational tools based on the principles of information theory. For this reason, computational methods based on or inspired by information theory have been a cornerstone of practical and conceptual progress in neuroscience. In this Review, we address how concepts and computational tools related to information theory are spurring the development of principled theories of information processing in neural circuits and the development of influential mathematical methods for the analyses of neural population recordings. We review how these computational approaches reveal mechanisms of essential functions performed by neural circuits. These functions include efficiently encoding sensory information and facilitating the transmission of information to downstream brain areas to inform and guide behavior. Finally, we discuss how further progress and insights can be achieved, in particular by studying how competing requirements of neural encoding and readout may be optimally traded off to optimize neural information processing.
AB - The brain is an information processing machine and thus naturally lends itself to be studied using computational tools based on the principles of information theory. For this reason, computational methods based on or inspired by information theory have been a cornerstone of practical and conceptual progress in neuroscience. In this Review, we address how concepts and computational tools related to information theory are spurring the development of principled theories of information processing in neural circuits and the development of influential mathematical methods for the analyses of neural population recordings. We review how these computational approaches reveal mechanisms of essential functions performed by neural circuits. These functions include efficiently encoding sensory information and facilitating the transmission of information to downstream brain areas to inform and guide behavior. Finally, we discuss how further progress and insights can be achieved, in particular by studying how competing requirements of neural encoding and readout may be optimally traded off to optimize neural information processing.
U2 - 10.1016/j.csbj.2023.01.009
DO - 10.1016/j.csbj.2023.01.009
M3 - SCORING: Review article
C2 - 36698970
VL - 21
SP - 910
EP - 922
JO - COMPUT STRUCT BIOTEC
JF - COMPUT STRUCT BIOTEC
SN - 2001-0370
ER -