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Publication : Cortical feedback loops bind distributed representations of working memory.

First Author  Voitov I Year  2022
Journal  Nature Volume  608
Issue  7922 Pages  381-389
PubMed ID  35896749 Mgi Jnum  J:359355
Mgi Id  MGI:7785651 Doi  10.1038/s41586-022-05014-3
Citation  Voitov I, et al. (2022) Cortical feedback loops bind distributed representations of working memory. Nature 608(7922):381-389
abstractText  Working memory-the brain's ability to internalize information and use it flexibly to guide behaviour-is an essential component of cognition. Although activity related to working memory has been observed in several brain regions(1-3), how neural populations actually represent working memory(4-7) and the mechanisms by which this activity is maintained(8-12) remain unclear(13-15). Here we describe the neural implementation of visual working memory in mice alternating between a delayed non-match-to-sample task and a simple discrimination task that does not require working memory but has identical stimulus, movement and reward statistics. Transient optogenetic inactivations revealed that distributed areas of the neocortex were required selectively for the maintenance of working memory. Population activity in visual area AM and premotor area M2 during the delay period was dominated by orderly low-dimensional dynamics(16,17) that were, however, independent of working memory. Instead, working memory representations were embedded in high-dimensional population activity, present in both cortical areas, persisted throughout the inter-stimulus delay period, and predicted behavioural responses during the working memory task. To test whether the distributed nature of working memory was dependent on reciprocal interactions between cortical regions(18-20), we silenced one cortical area (AM or M2) while recording the feedback it received from the other. Transient inactivation of either area led to the selective disruption of inter-areal communication of working memory. Therefore, reciprocally interconnected cortical areas maintain bound high-dimensional representations of working memory.
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