Latching dynamics as a basis for short-term recall

Kwang Il Ryom, Vezha Boboeva, Oleksandra Soldatkina and Alessandro Treves

PLOS Computational Biology, 2021, vol. 17, issue 9, 1-28

Abstract: We discuss simple models for the transient storage in short-term memory of cortical patterns of activity, all based on the notion that their recall exploits the natural tendency of the cortex to hop from state to state—latching dynamics. We show that in one such model, and in simple spatial memory tasks we have given to human subjects, short-term memory can be limited to similar low capacity by interference effects, in tasks terminated by errors, and can exhibit similar sublinear scaling, when errors are overlooked. The same mechanism can drive serial recall if combined with weak order-encoding plasticity. Finally, even when storing randomly correlated patterns of activity the network demonstrates correlation-driven latching waves, which are reflected at the outer extremes of pattern space.Author summary: What makes short-term memory so poor, that over a minute we tend to forget even phone numbers, if we cannot rehearse or record them electronically? In comparison, long-term memory can be amazingly rich and accurate. Was it so difficult to equip our brain with a short-term memory device of reasonable capacity?

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pcbi00:1008809

DOI: 10.1371/journal.pcbi.1008809

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