奖励和努力历史对决策和运动活力的影响在食期间
Shruthi Sukumar1, Reza Shadmehr2, Alaa A Ahmed3
1Department of Computer Science, University of Colorado Boulder, Boulder, Colorado, United States.
Journal of neurophysiology
|December 6, 2023
概括
动物的食行为优化了奖励率. 过去的经验,高奖励或低努力影响决策,导致更快的离开和更有活力的移动到新的机会. 这影响了决策和运动控制.
科学领域:
- 行为神经科学 行为神经科学
- 决策科学科学 决策科学
- 发动机控制器 发动机控制器
背景情况:
- 食涉及到对资源采集和迁移到新地点的决定.
- 优化食可能涉及最大化净奖励率 (奖励减去努力,除以时间).
- 过去的奖励和努力历史可能会影响收获时间和旅行活力.
研究的目的:
- 测试是否食决策和运动控制调整以优化净奖励率.
- 调查奖励和努力历史对食行为的影响.
- 了解过去的经验如何塑造手臂运动的意志控制.
主要方法:
- 人类参与者通过手动从奖励贴片中收获代币.
- 然后,参与者用手臂伸到另一个补丁上.
- 奖励历史和努力在实验条件下被操纵.
主要成果:
- 高奖励历史缩短了收获时间,增加了运动活力.
- 高努力史延长了收获时间,减少了运动活力.
- 过去的经验对补丁放弃决策和运动执行都产生了偏见.
结论:
- 食行为,包括决策和运动控制,被优化为净奖励率.
- 移动模式不仅反映了即时的期望,还反映了过去的环境经验.
- 这提供了洞察力,了解在寻找食物期间控制意志的因素.
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