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Multivariate autoregressive-based neuronal network flow analysis for in-vitro recorded bursts
conference contribution
posted on 2015-01-01, 00:00 authored by Imali HettiarachchiImali Hettiarachchi, Asim BhattiAsim Bhatti, P A Adlard, Saeid NahavandiNeuroscientific studies of in vitro neuron cell cultures has attracted paramount attention to investigate the behaviour of neuronal networks in response to different environmental conditions and external stimuli such as drugs, optical and electrical stimulations. Microelec trodearray (MEA) technology has been widely adopted as a tool for this investigation. In this work, we present a new approach to estimate interconnectivity of neural spikes using multivariate autoregressive (MVAR) analysis and Partial Directed Coherence (PDC). The proposed approach has the potential to discover hidden intra-burst causal connectivity patterns and to help understand the spatiotemporal communication patterns within bursts, pre and post stimulations.
History
Event
Neural Information Processing. Conference (22nd : 2015 : Istanbul, Turkey)Volume
9492Series
Lecture Notes in Computer Science; 9492Pagination
324 - 331Publisher
SpringerLocation
Istanbul, TurkeyPlace of publication
Berlin, GermanyPublisher DOI
Start date
2015-11-09End date
2015-11-12ISSN
0302-9743eISSN
1611-3349ISBN-13
9783319265605Language
engPublication classification
E Conference publication; E1 Full written paper - refereedCopyright notice
2015, SpringerEditor/Contributor(s)
S Arik, T Huang, W Lin, Q LiuTitle of proceedings
ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedingsUsage metrics
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