Mathematical models of learning and what can be learned from them

Omri Barak; Misha Tsodyks

doi:10.1016/j.conb.2023.102721

Mathematical models of learning and what can be learned from them

Omri Barak, Misha Tsodyks^*

^*Corresponding author for this work

Department of Brain Sciences

Research output: Contribution to journal › Review article › peer-review

4 Citations (Scopus)

Abstract

Learning is a multi-faceted phenomenon of critical importance and hence attracted a great deal of research, both experimental and theoretical. In this review, we will consider some of the paradigmatic examples of learning and discuss the common themes in theoretical learning research, such as levels of modeling and their corresponding relation to experimental observations and mathematical ideas common to different types of learning.

Original language	English
Article number	102721
Journal	Current Opinion in Neurobiology
Volume	80
DOIs	https://doi.org/10.1016/j.conb.2023.102721
Publication status	Published - Jun 2023

Bibliographical note

Publisher Copyright:
© 2023 Elsevier Ltd

All Science Journal Classification (ASJC) codes

General Neuroscience

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10.1016/j.conb.2023.102721

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abstract = "Learning is a multi-faceted phenomenon of critical importance and hence attracted a great deal of research, both experimental and theoretical. In this review, we will consider some of the paradigmatic examples of learning and discuss the common themes in theoretical learning research, such as levels of modeling and their corresponding relation to experimental observations and mathematical ideas common to different types of learning.",

author = "Omri Barak and Misha Tsodyks",

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AU - Tsodyks, Misha

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AB - Learning is a multi-faceted phenomenon of critical importance and hence attracted a great deal of research, both experimental and theoretical. In this review, we will consider some of the paradigmatic examples of learning and discuss the common themes in theoretical learning research, such as levels of modeling and their corresponding relation to experimental observations and mathematical ideas common to different types of learning.

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U2 - 10.1016/j.conb.2023.102721

DO - 10.1016/j.conb.2023.102721

M3 - Review article

C2 - 37043892

AN - SCOPUS:85151776293

SN - 0959-4388

VL - 80

JO - Current Opinion in Neurobiology

JF - Current Opinion in Neurobiology

M1 - 102721

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Mathematical models of learning and what can be learned from them

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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