Striatal Processing of Cortical Neuronal Avalanches: A Computational Investigation
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
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.
Corticostriatal network, Neuronal avalanches, Striatum, Basal ganglia, Cortex
Research subject Computer Science
IdentifiersURN: urn:nbn:se:kth:diva-191313DOI: 10.1007/978-3-319-44778-0_9OAI: oai:DiVA.org:kth-191313DiVA: diva2:955988
Artificial Neural Networks and Machine Learning – ICANN 2016
QC 201608292016-08-282016-08-282016-08-29Bibliographically approved