An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving

Qi Zhang1, Yuki Kobayashi2, Hiromichi Goto2

  • 1Laboratory of Behavioral Genetics, Center for Brain Science, RIKEN; Faculty of Human Science, University of Tsukuba; qi.zhang@riken.jp.

Summary

This study introduces an automated T-maze system for assessing rodent decision-making, reducing labor and improving efficiency. The new system accurately measures cost-benefit choices influenced by delay or effort, aiding neurological research.

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