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.
Original language | English (US) |
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Pages (from-to) | 888-902 |
Number of pages | 15 |
Journal | Trends in Neurosciences |
Volume | 44 |
Issue number | 11 |
DOIs | |
State | Published - Nov 2021 |
Keywords
- NMDA receptor
- activity-silent state
- cognition
- diverse interneuron types
- multiple-attractor network model
- persistent activity
- psychiatry
- short-term memory
- subspace analysis
- working memory
ASJC Scopus subject areas
- General Neuroscience