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 Sun Hat complexity constraints, and analyze the learning process

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