Please use this identifier to cite or link to this item: https://doi.org/10.1523/ENEURO.0006-19.2020
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dc.titleFamiliarity detection and memory consolidation in cortical assemblies
dc.contributor.authorZhang, X.
dc.contributor.authorYeh, F.-C.
dc.contributor.authorJu, H.
dc.contributor.authorJiang, Y.
dc.contributor.authorQuan, G.F.W.
dc.contributor.authorVandongen, A.M.J.
dc.date.accessioned2021-08-18T08:54:42Z
dc.date.available2021-08-18T08:54:42Z
dc.date.issued2020
dc.identifier.citationZhang, X., Yeh, F.-C., Ju, H., Jiang, Y., Quan, G.F.W., Vandongen, A.M.J. (2020). Familiarity detection and memory consolidation in cortical assemblies. eNeuro 7 (3) : ENEURO.0006-19.2020. ScholarBank@NUS Repository. https://doi.org/10.1523/ENEURO.0006-19.2020
dc.identifier.issn23732822
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/197819
dc.description.abstractHumans have a large capacity of recognition memory (Dudai, 1997), a fundamental property of higher-order brain functions such as abstraction and generalization (Vogt and Magnussen, 2007). Familiarity is the first step towards recognition memory. We have previously demonstrated using unsupervised neural network simula-tions that familiarity detection of complex patterns emerges in generic cortical microcircuits with bidirectional synaptic plasticity. It is therefore meaningful to conduct similar experiments on biological neuronal networks to validate these results. Studies of learning and memory in dissociated rodent neuronal cultures remain incon-clusive to date. Synchronized network bursts (SNBs) that occur spontaneously and periodically have been speculated to be an intervening factor. By optogenetically stimulating cultured cortical networks with random dot movies (RDMs), we were able to reduce the occurrence of SNBs, after which an ability for familiarity detection emerged: previously seen patterns elicited higher firing rates than novel ones. Differences in firing rate were distributed over the entire network, suggesting that familiarity detection is a system level property. We also studied the change in SNB patterns following familiarity encoding. Support vector machine (SVM) classifi-cation results indicate that SNBs may be facilitating memory consolidation of the learned pattern. In addition, using a novel network connectivity probing method, we were able to trace the change in synaptic efficacy induced by familiarity encoding, providing insights on the long-term impact of having SNBs in the cultures. © 2020, Society for Neuroscience. All rights reserved.
dc.publisherSociety for Neuroscience
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2020
dc.subjectConsolidation
dc.subjectMicrocircuits
dc.subjectNeuronal network
dc.subjectOptogenetics
dc.subjectRecognition memory
dc.typeArticle
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.description.doi10.1523/ENEURO.0006-19.2020
dc.description.sourcetitleeNeuro
dc.description.volume7
dc.description.issue3
dc.description.pageENEURO.0006-19.2020
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