Liu Belle, White Alexander James, Lo Chung-Chuan
Institute of Systems Neuroscience, National Tsing Hua University, Hsinchu City 30080, Taiwan.
Department of Physics, National Tsing Hua University, Hsinchu City 30080, Taiwan.
iScience. 2025 Jan 1;28(2):111718. doi: 10.1016/j.isci.2024.111718. eCollection 2025 Feb 21.
Recent advances in microcircuit analysis of nervous systems have revealed a plethora of mutual connections between inhibitory interneurons across many different species and brain regions. The abundance of these mutual connections has not been fully explained. Strikingly, we show that neural circuits with mutually inhibitory connections are able to rapidly and flexibly switch between distinct functions. That is, multiple functions coexist for a single set of synaptic weights. Here, we develop a theoretical framework to explain how inhibitory recurrent circuits give rise to this flexibility and show that mutual inhibition doubles the number of cusp bifurcations in small neural circuits. As a concrete example, we study a class of functional motifs we call coupled recurrent inhibitory and recurrent excitatory loops (CRIRELs). These CRIRELs have the advantage of being both multi-functional and controllable, performing a plethora of functions, including decisions, memory, toggle, and so forth. Finally, we demonstrate how mutual inhibition maximizes storage capacity for larger networks.
神经系统微电路分析的最新进展揭示了许多不同物种和脑区的抑制性中间神经元之间存在大量相互连接。这些相互连接的丰富性尚未得到充分解释。令人惊讶的是,我们发现具有相互抑制连接的神经回路能够在不同功能之间快速灵活地切换。也就是说,对于一组单一的突触权重,多种功能共存。在这里,我们建立了一个理论框架来解释抑制性循环回路如何产生这种灵活性,并表明相互抑制使小神经回路中的尖点分岔数量增加了一倍。作为一个具体例子,我们研究了一类我们称为耦合循环抑制和循环兴奋回路(CRIRELs)的功能基序。这些CRIRELs具有多功能和可控的优点,能执行大量功能,包括决策、记忆、切换等等。最后,我们展示了相互抑制如何使更大网络的存储容量最大化。