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Multi-neuronal activity and functional connectivity in cell assemblies
KTH, Centres, Nordic Institute for Theoretical Physics NORDITA.
KTH, Centres, Nordic Institute for Theoretical Physics NORDITA.
2015 (English)In: Current Opinion in Neurobiology, ISSN 0959-4388, E-ISSN 1873-6882, Vol. 32, 38-44 p.Article in journal (Refereed) Published
Abstract [en]

Our ability to collect large amounts of data from many cells has been paralleled by the development of powerful statistical models for extracting information from this data. Here we discuss how the activity of cell assemblies can be analyzed using these models, focusing on the generalized linear models and the maximum entropy models and describing a number of recent studies that employ these tools for analyzing multi-neuronal activity. We show results from simulations comparing inferred functional connectivity, pairwise correlations and the real synaptic connections in simulated networks demonstrating the power of statistical models in inferring functional connectivity. Further development of network reconstruction techniques based on statistical models should lead to more powerful methods of understanding functional anatomy of cell assemblies.

Place, publisher, year, edition, pages
2015. Vol. 32, 38-44 p.
Keyword [en]
artificial neural network, brain nerve cell, cell activity, cell function, computer simulation, conceptual framework, connectome, information processing, mathematical analysis, Review, spike wave, statistical model
National Category
URN: urn:nbn:se:kth:diva-167707DOI: 10.1016/j.conb.2014.10.011ISI: 000356198900007ScopusID: 2-s2.0-84920265255OAI: diva2:815915

QC 20150602

Available from: 2015-06-02 Created: 2015-05-22 Last updated: 2015-07-03Bibliographically approved

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Roudi, YasserHertz, John A.
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