Neuronal competition: microcircuit mechanisms define the sparsity of the engram. (February 2019)

• Record Type: Journal Article
• Authors: Rao-Ruiz, Priyanka; Yu, Julia; Kushner, Steven A; Josselyn, Sheena A
• Is Part Of: Current opinion in neurobiology. Volume 54(2019)
• Page Start: 163
• Page End: 170
• Publication Date: 2019-02
• Subjects: Neurobiology -- Periodicals; 573.8
• DOI: 10.1016/j.conb.2018.10.013
• Languages: English
• ISSNs: 0959-4388

Abstract

Highlights: Neuronal ensembles of mnemonic representations (engrams) are broadly distributed. Engram size does not encode memory strength (encoded at synapse level). Neuronal allocation to an engram is mediated by intrinsic excitability and local microcircuitry. Together, these complementary processes define regional engram sparsity. These properties serve to link events occurring close in time. Abstract : Extensive work in computational modeling has highlighted the advantages for employing sparse yet distributed data representation and storage Kanerva (1998), properties that extend to neuronal networks encoding mnemonic information (memory traces or engrams). While neurons that participate in an engram are distributed across multiple brain regions, within each region, the cellular sparsity of the mnemonic representation appears to be quite fixed. Although technological advances have enabled significant progress in identifying and manipulating engrams, relatively little is known about the region-dependent microcircuit rules governing the cellular sparsity of an engram. Here we review recent studies examining the mechanisms that help shape engram architecture and examine how these processes may regulate memory function. We speculate that countervailing forces in local microcircuits contribute to the generation and maintenance of engrams and discuss emerging questions regarding how engrams are formed, stored and used.