GABAergic Interneurons with Nonlinear Dendrites: From Neuronal Computations to Memory Engrams

GABAergic interneurons (INs) are a highly diverse class of neurons in the mammalian brain with a critical role in orchestrating multiple cognitive functions and maintaining the balance of excitation/inhibition across neuronal circuitries. In this perspective, we discuss recent findings regarding the ability of some IN subtypes to integrate incoming inputs in nonlinear ways within their dendritic branches. These recently discovered features may endow the specific INs with advanced computing capabilities, whose breadth and functional contributions remain an open question. Along these lines, we discuss theoretical and experimental evidence regarding the potential role of nonlinear IN dendrites in advancing single neuron computations and contributing to memory formation. This article is part of a Special Issue entitled: SI: Dendritic contributions to biological and artificial computations. (C) 2022 IBRO. Published by Elsevier Ltd. All rights reserved.

Automated summary

This article discusses the ability of GABAergic interneurons (INs) to integrate incoming inputs in a nonlinear manner and their potential role in advancing single neuron computations and contributing to memory formation, providing new insights and directions for neuroscience research.