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dc.contributor.authorFerrario, A
dc.contributor.authorRankin, J
dc.date.accessioned2021-05-06T13:52:01Z
dc.date.issued2021-05-03
dc.description.abstractIn the auditory streaming paradigm, alternating sequences of pure tones can be perceived as a single galloping rhythm (integration) or as two sequences with separated low and high tones (segregation). Although studied for decades, the neural mechanisms underlining this perceptual grouping of sound remains a mystery. With the aim of identifying a plausible minimal neural circuit that captures this phenomenon, we propose a firing rate model with two periodically forced neural populations coupled by fast direct excitation and slow delayed inhibition. By analyzing the model in a non-smooth, slow-fast regime we analytically prove the existence of a rich repertoire of dynamical states and of their parameter dependent transitions. We impose plausible parameter restrictions and link all states with perceptual interpretations. Regions of stimulus parameters occupied by states linked with each percept match those found in behavioural experiments. Our model suggests that slow inhibition masks the perception of subsequent tones during segregation (forward masking), whereas fast excitation enables integration for large pitch differences between the two tones.en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.identifier.citationVol. 11, article 8en_GB
dc.identifier.doi10.1186/s13408-021-00106-2
dc.identifier.grantnumberEP/R03124X/1en_GB
dc.identifier.grantnumberEP/N014391/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/125575
dc.language.isoenen_GB
dc.publisherSpringeren_GB
dc.relation.urlhttps://github.com/ferrarioa5/ferrario_rankin2021.giten_GB
dc.rights© The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_GB
dc.subjectAuditory streamingen_GB
dc.subjectSlow delayed inhibitionen_GB
dc.subjectFast excitationen_GB
dc.titleAuditory streaming emerges from fast excitation and slow delayed inhibitionen_GB
dc.typeArticleen_GB
dc.date.available2021-05-06T13:52:01Z
exeter.article-number8en_GB
dc.descriptionThis is the final version. Available on open access from Springer via the DOI in this recorden_GB
dc.descriptionAvailability of data and materials: Source code to reproduce the results presented are available on a public GitHub repository at https://github.com/ferrarioa5/ferrario_rankin2021.git.en_GB
dc.identifier.eissn2190-8567
dc.identifier.journalJournal of Mathematical Neuroscienceen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2021-04-22
exeter.funder::Engineering and Physical Sciences Research Council (EPSRC)en_GB
exeter.funder::Engineering and Physical Sciences Research Council (EPSRC)en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2021-05-03
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-05-06T13:49:43Z
refterms.versionFCDVoR
refterms.dateFOA2021-05-06T13:53:07Z
refterms.panelBen_GB


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© The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use,
sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original
author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other
third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line
to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by
statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a
copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Except where otherwise noted, this item's licence is described as © The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.