| Literature DB >> 34654556 |
Abstract
Half a century ago persistent spiking activity in the neocortex was discovered to be a neural substrate of working memory. Since then scientists have sought to understand this core cognitive function across biological and computational levels. Studies are reviewed here that cumulatively lend support to a synaptic theory of recurrent circuits for mnemonic persistent activity that depends on various cellular and network substrates and is mathematically described by a multiple-attractor network model. Crucially, a mnemonic attractor state of the brain is consistent with temporal variations and heterogeneity across neurons in a subspace of population activity. Persistent activity should be broadly understood as a contrast to decaying transients. Mechanisms in the absence of neural firing ('activity-silent state') are suitable for passive short-term memory but not for working memory - which is characterized by executive control for filtering out distractors, limited capacity, and internal manipulation of information.Entities:
Keywords: NMDA receptor; activity-silent state; cognition; diverse interneuron types; multiple-attractor network model; persistent activity; psychiatry; short-term memory; subspace analysis; working memory
Mesh:
Year: 2021 PMID: 34654556 PMCID: PMC9087306 DOI: 10.1016/j.tins.2021.09.001
Source DB: PubMed Journal: Trends Neurosci ISSN: 0166-2236 Impact factor: 16.978