稳定性的储存库：皮层回路动力学中的通量管

A reservoir of timescales in random neural networks

The temporal activity of many biological systems, including neural circuits, exhibits fluctuations simultaneously varying over a large range of timescales. The mechanisms leading to this temporal heterogeneity are yet unknown. Here we show that random neural networks endowed with a distribution of self-couplings, representing functional neural clusters of different sizes, generate multiple timescales activity spanning several orders of magnitude. When driven by a time-dependent broadband input, slow and fast neural clusters preferentially entrain slow and fast spectral components of the input,…

A model of reward-modulated motor learning with parallelcortical and basal ganglia pathways

Many recent studies of the motor system are divided into two distinct approaches: Those that investigate how motor responses are encoded in cortical neurons' firing rate dynamics and those that study the learning rules by which mammals and songbirds develop reliable motor responses. Computationally, the first approach is encapsulated by reservoir computing models, which can learn intricate motor tasks and produce internal dynamics strikingly similar to those of motor cortical neurons, but rely on biologically unrealistic learning rules. The more realistic learning rules developed by the second…

通过循环神经网络中的基线控制实现多任务处理

Multi-tasking via baseline control in recurrent neural networks

该研究利用随机耦合循环神经网络中的储备池计算表明，基线输入电流调制可诱发混沌增强、滞后和遍历性破缺，并让网络无需优化耦合即可执行多任务。

皮层微回路是否优化以增强信息流？——基于模拟的反向工程研究

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study

研究通过模拟分析皮层微柱结构，发现嵌入网络通过产生有效偏置和随机波动增强核心动态的信息流，为生物神经电路功能解释和人工递归系统设计提供新见解。

人类下丘脑的功能架构：采用7特斯拉fMRI研究皮层耦合与亚区组织

Functional Architecture of the Human Hypothalamus: Cortical Coupling and Subregional Organization Using 7-Tesla fMRI

本研究利用7 Tesla静息态fMRI和数据驱动方法划分人类下丘脑功能亚区，揭示四个亚区与两类皮层网络的差异化连接。

基于储备池计算模型的神经元培养物连接性的图分析

Graph Analysis of Neuronal-Culture Connectivity Derived from a Reservoir-Computing Model

本研究基于储备池计算（RC）框架从多通道电生理记录提取神经元培养物的内在连接图谱（ICM），通过图论分析验证了RC连接性推断的有效性，建立了神经元培养物功能网络表征的可扩展数据驱动框架。