GABAergic interneurons in the neocortex: From cellular properties to circuits

By R. Tremblay, Soohyun Lee, B. Rudy. Neuron, 2016

1,795 citations recorded by the source corpus.

Cortical networks are composed of glutamatergic excitatory projection neurons and local GABAergic inhibitory interneurons which gate signal flow and sculpt network dynamics. Although they represent a minority of the total neocortical neuronal population, GABAergic interneurons are highly heterogeneous, forming functional classes based on their morphological, electrophysiological and molecular features as well as connectivity and in vivo patterns of activity. Here we review our current understanding of neocortical interneuron diversity and the properties that distinguish among cell types. We then discuss how the involvement of multiple cell types, each with a specific set of cellular properties, plays a crucial role in diversifying and increasing the computational power of a relatively small number of simple circuit motifs forming cortical networks. We illustrate how recent advances in the field have shed light onto the mechanisms by which GABAergic inhibition contributes to network operations.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/c96bdb402d055a1c34f6b1fd0d8a69ccf2e34701

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In Cellular and Molecular Neuroscience

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Citations in the corpus

A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation (2020, neutral): “Hippocampal and isocortical GABAergic interneuron types exhibit similar molecular, anatomical, and physiological properties (Pelkey et al., 2017; Tremblay et al., 2016).”
Altered connectivity in depression: GABA and glutamate neurotransmitter deficits and reversal by novel treatments (2019, background): “Aberrant hyperconectivity resulting from loss or dysfunction of SST interneurons, could also be exacerbated by loss of the electrical coupling of SST interneurons via gap junctions, which has been reported for interneurons of the same class (Tremblay et al., 2016).”
Plasticity during Sleep Is Linked to Specific Regulation of Cortical Circuit Activity (2017, background): “These two classes of cells themselves also represent rather heterogeneous cell populations targeting a wide range of different cells in different layers (Tremblay et al., 2016; Miyamae et al., 2017).”