使用否决范式来研究解释利贝特式实验的决策模型
Yu Hei Shum1, Carl Michael Galang1, Marcel Brass2
1Berlin School of Mind and Brain & Department of Psychology, Humboldt-Universität zu Berlin, Germany.
Consciousness and cognition
|August 16, 2024
概括
这项研究表明,自由意志可能涉及到积累信息,直到达到决策门,挑战以前关于无意识准备的想法. 结果支持集成到绑定模型,并验证在线Libet任务的决策研究.
科学领域:
- 认知神经科学 认知神经科学
- 思想的哲学 思想的哲学
- 决策研究 决策研究
背景情况:
- 在Libet的实验中,意识意图之前的准备潜力 (RP) 激起了关于自由意志的辩论.
- 利贝的发现被解释为无意识的大脑活动决定了在有意识决定之前的行为.
- 其他解释,如集成到边界 (ITB) 模型,建议RP反映正在进行的决策过程.
研究的目的:
- 测试ITB模型是否能更好地解释Libet样式实验中的行为模式.
- 通过对Libet任务 (Veto Libet任务) 引入一个"是否组件"来调查"否决"现象.
- 为了比较古典利贝特任务和维托利贝特任务之间的行为指标.
主要方法:
- 引入一个"是否组件"来创建Veto Libet任务.
- 在Veto Libet任务和Classical Libet任务之间比较行为指标.
- 在线环境中首次应用Libet任务,将结果与线下研究进行比较.
主要成果:
- 维托利贝特任务中的信号积累比古典利贝特任务少,支持ITB假设.
- 在Veto Libet任务中观察到更长的等待时间和更早的自我报告意图 (W).
- 在线Libet任务中的行为参数与之前的线下研究相似.
结论:
- 研究结果支持整合到边界模型,表明有意识的意图源于积累证据到一个值.
- 行为差异凸显了Veto Libet任务对研究否决现象的有用性.
- 在线Libet任务是研究任意决策的可行平台,产生可靠的行为相关性.
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