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• W3105568981 abstract "Abstract In the face of a complex environment, it is necessary for neural circuits to develop a “Swiss army knife” toolkit, in which neural networks flexibly switch between different functionalities to meet the demands placed on them. Here, we develop a theoretical framework for how recurrent circuits give rise to this flexibility. More-over, mutual inhibition, an abundant yet less studied structure, is critical in expanding the functionality of the network, far beyond what feedback inhibition alone can accomplish. Using dynamical systems theory, we show that mutual inhibition doubles the number of cusp bifurcations in small neural circuits. As a concrete example, we build a class of functional motifs we call Coupled Recurrent Inhibitory and Recurrent Excitatory Loops (CRIRELs). These CRIRELs have the advantage of being multi-functional, performing a plethora of functions, including decisions, memory, toggle, etc. Finally, we demonstrate how this trend holds for larger networks." @default.
• W3105568981 created "2020-11-23" @default.
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• W3105568981 date "2020-11-09" @default.
• W3105568981 modified "2023-10-18" @default.
• W3105568981 title "Augmenting Flexibility: Mutual Inhibition Between Inhibitory Neurons Expands Functional Diversity" @default.
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• W3105568981 doi "https://doi.org/10.1101/2020.11.08.371179" @default.
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