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Striatal Processing of Cortical Neuronal Avalanches: A Computational Investigation
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST).
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST).
2016 (English)In: Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349, ISSN 978-3-319-44778-0, Vol. 9886, 72-79 p.Article in journal (Refereed) Published
Abstract [en]

In the cortex, spontaneous neuronal avalanches can be characterized by spatiotemporal activity clusters with a cluster size distribution that follows a power law with exponent –1.5. Recordings in the striatum revealed that striatal activity was also characterized by spatiotemporal clusters that followed a power law distribution albeit, with significantly steeper slope, i.e., they lacked the large spatial clusters that are commonly expected for avalanche dynamics. In this study, we used computational modeling to investigate the influence of intrastriatal inhibition and corticostriatal interplay as important factors to understand the experimental findings and overall information transmission among these circuits.

Place, publisher, year, edition, pages
Springer, 2016. Vol. 9886, 72-79 p.
Keyword [en]
Corticostriatal network, Neuronal avalanches, Striatum, Basal ganglia, Cortex
National Category
Computer Science
Research subject
Computer Science
URN: urn:nbn:se:kth:diva-191313DOI: 10.1007/978-3-319-44778-0_9OAI: diva2:955988
Artificial Neural Networks and Machine Learning – ICANN 2016

QC 20160829

Available from: 2016-08-28 Created: 2016-08-28 Last updated: 2016-08-29Bibliographically approved

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Belic, JovanaHellgren Kotaleski, Jeanette
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