在神经系统兴奋变化下,对视觉空间感知进行经验验证的理论分析
Pratik Purohit1, Prasun Dutta2, Prasun K Roy1,3
1School of Biomedical Engineering, Indian Institute of Technology (BHU), Varanasi, India.
Frontiers in computational neuroscience
|May 30, 2023
概括
这项研究提出了由于神经系统活动而导致的视觉空间感知变化的定量模型. 该模型通过psilocybin和chlorpromazine数据验证,准确地预测知觉变化并识别神经通路.
科学领域:
- 神经科学是一个神经科学.
- 计算心理学 计算心理学
- 心理药理学 心理药理学
背景情况:
- 视觉空间感知对于环境相互作用至关重要.
- 交感性 (过度激活) 和副交感性 (低激活) 神经系统活动可以改变这种感知.
- 了解这些变化对于神经心理学等领域至关重要.
研究的目的:
- 制定视觉空间感知变化的定量模型.
- 研究过活化和低活化剂对视觉空间感知的影响.
- 识别潜在的神经相关物并使用现有数据验证模型.
主要方法:
- 开发了一个基于希尔方程和度量张量器的定量模型.
- 在脑组织中计算了psilocybin (过度活化) 和promazine (低活化) 的动态.
- 通过行为研究,神经成像 (扩散MRI) 和电网细胞网络的计算建模来验证模型.
主要成果:
- 该模型准确地预测了在psilocybin (n=14.8,k=1.39) 和chlorpromazine下的感知变化.
- 识别了V2和脑内皮层之间的神经通道,表明视觉空间感知网络.
- 在神经调节下模拟的网格细胞网络活动也遵循希尔方程.
结论:
- 开发了一个经过验证的计算模型,用于改变神经音调下的视觉空间感知变化.
- 该模型整合了行为,神经成像和计算方法.
- 这种定量方法可以作为一种工具,用于选高压力职业的感知误判.
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