大脑的复杂性代表了序列学习的不确定性,并证实了帕金森病患者的习惯性缺陷
Mohammad Hossein Heidari Beni1, Kamyab Hosseinpour1, Mohammad Reza Seyednejad1
1Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran.
Scientific reports
|July 1, 2025
概括
大脑的复杂性与传感输入的不确定性相关,而不是在序列学习期间的惊喜. 这种复杂性也显示了习惯和恢复模式,帕金森病的趋势发生了变化.
科学领域:
- 认知神经科学 认知神经科学
- 计算神经科学是一种神经科学.
- 信息理论 信息理论
背景情况:
- 信息处理对大脑功能和认知过程至关重要.
- 神经随机性可能反映了信息处理的概率性质.
- 大脑活动复杂性可能表明大脑如何推断感官数据细微差别.
研究的目的:
- 为了研究大脑活动复杂性和序列学习中的信息理论不确定性测量之间的关系.
- 为了比较大脑复杂性的相关性与输入不确定性与信息惊喜.
- 检查学习,习惯和恢复期间以及在帕金森病中大脑复杂性的动态.
主要方法:
- 分析大脑活动的复杂性.
- 从序列学习的贝叶斯模型中应用信息理论措施 (,惊喜).
- 健康个体和帕金森病患者的复杂性趋势的比较.
主要成果:
- 大脑的复杂性与输入不确定性 (后) 相比,与信息惊喜 (Shannon或贝叶斯惊喜) 相比,与输入不确定性 (后) 相对相关性显著更强.
- 大脑复杂性在学习过程中呈现下降趋势,与习惯性一致.
- 大脑复杂性显示在重新接触学习任务时的恢复模式和帕金森病患者的明显趋势,表明认知习惯/形成缺陷.
结论:
- 大脑复杂性是信息处理的强有力的指标,特别反映了序列学习期间感官输入的不确定性.
- 在大脑复杂性中观察到的习惯和恢复模式支持其在适应性学习过程中的作用.
- 帕金森病的复杂性变化趋势突出了习惯和习惯形成中的认知障碍.
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