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dc.contributor.authorAshwin, P
dc.contributor.authorFadera, M
dc.contributor.authorPostlethwaite, C
dc.date.accessioned2023-11-14T09:10:33Z
dc.date.issued2023-12-08
dc.date.updated2023-11-13T15:36:02Z
dc.description.abstractThe importance of understanding the nonlinear dynamics of neural systems, and the relation to cognitive systems more generally, has been recognized for a long time. Approaches that analyse neural systems in terms of attractors of autonomous networks can be successful in explaining system behaviours in the input-free case. Nonetheless, a computational system usually needs inputs from its environment to effectively solve problems, and this necessitates a non-autonomous framework where typically the effects of a changing environment can be studied. In this review we highlight a variety of network attractors that can exist in autonomous systems and can be used to aid interpretation of the dynamics in the presence of inputs. Such network attractors (that consist of heteroclinic or excitable connections between invariant sets) lend themselves to modelling discretestate computations with continuous inputs, and can sometimes be thought of as a hybrid model between classical discrete computation and continuous-time dynamical systems.en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.description.sponsorshipRoyal Society Te Aparangien_GB
dc.identifier.citationVol. 84, article 102818en_GB
dc.identifier.doi10.1016/j.conb.2023.102818
dc.identifier.grantnumberEP/T017856/1en_GB
dc.identifier.grantnumberEP/W523859/1en_GB
dc.identifier.grantnumber21-UOA-048en_GB
dc.identifier.urihttp://hdl.handle.net/10871/134511
dc.identifierORCID: 0000-0001-7330-4951 (Ashwin, Peter)
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)en_GB
dc.titleNetwork attractors and nonlinear dynamics of neural computationen_GB
dc.typeArticleen_GB
dc.date.available2023-11-14T09:10:33Z
dc.identifier.issn0959-4388
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this recorden_GB
dc.identifier.journalCurrent Opinion in Neurobiologyen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-11-13
dcterms.dateSubmitted2023-02-19
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-11-13
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-11-13T15:36:04Z
refterms.versionFCDAM
refterms.dateFOA2024-02-01T14:35:21Z
refterms.panelBen_GB


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© 2023 The Author(s). Published by Elsevier Ltd. This is an
open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Except where otherwise noted, this item's licence is described as © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)