Attractor and integrator networks in the brain

In this Review, we describe the singular success of attractor neural network models in describing how the brain maintains persistent activity states for working memory, corrects errors and integrates noisy cues. We consider the mechanisms by which simple and forgetful units can organize to collectiv...

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Bibliografiska uppgifter
Huvudupphovsmän: Khona, Mikail, Fiete, Ila R
Övriga upphovsmän: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Materialtyp: Artikel
Språk:English
Publicerad: Springer Science and Business Media LLC 2023
Länkar:https://hdl.handle.net/1721.1/148794