对于动态贝叶斯推理和控制作为推理的规范性皮层微电路的计算模型
Naohiro Yamauchi1, Yoshimasa Tawatsuji2, Yudai Suzuki2
1Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University, 1919-1 Tancha, Onna, Kunigami-gun, 904-0495, Okinawa, Japan.
Neuroscience research
|December 6, 2025
概括
规范性皮质微电路 (CCM) 是为动态贝叶斯推理和控制而建模的. 这种生物学上可信的模型解释了感觉和运动功能,并预测了特定层的角色.
科学领域:
- 计算神经科学是一种计算神经科学.
- 系统神经科学 系统神经科学
- 认知神经科学是一种认知神经科学.
背景情况:
- 规范性皮质微电路 (CCM) 在哺乳动物新皮质中形成一个保存的六层结构,对认知功能至关重要.
- 当前的计算模型往往缺乏详细的细胞类型和连接性表示,限制了对CCM机制的理解.
研究的目的:
- 为动态贝叶斯推理 (DBI) 和控制作为推理 (CAI) 开发一个生物可信的CCM计算模型.
- 阐明由CCM调解的认知功能背后的计算机制.
主要方法:
- 应用结构约束接口分解 (SCID) 方法来构建CCM模型.
- 对神经元群体明确分配计算角色,并纳入抑制性神经元贡献.
- 模拟了一个鼠标杆推/拉任务,用于感知决策和控制.
主要成果:
- 该模型成功地重现了关键的行为特征,包括心理测量曲线和"改变思维"行为.
- 层特异性扰动模拟产生了关于皮质层功能的实验性可测试预测.
- 展示了基于推断和控制二元性的感觉和运动皮层中CCM功能的统一解释.
结论:
- 开发的CCM模型为理解感官推断和运动控制提供了一个统一的框架.
- 该研究强调了不同皮层的功能作用,并为未来的研究提供了可测试的预测.
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