Value-complexity tradeoff explains mouse navigational learning.

Value-complexity tradeoff explains mouse navigational learning.

We introduce a novel methodology for describing animal behavior as a tradeoff between value and complexity, using the Morris Water Maze navigation task as a concrete example. We develop a dynamical system model of the Water Maze navigation task, solve its optimal control under varying complexity con...

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Bibliographic Details
Main Authors:	Nadav Amir, Reut Suliman-Lavie, Maayan Tal, Sagiv Shifman, Naftali Tishby, Israel Nelken
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2020-12-01
Series:	PLoS Computational Biology
Online Access:	https://doi.org/10.1371/journal.pcbi.1008497

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