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Correlated neuronal activity and its relationship to coding, dynamics and network architecture
Tatjana Tchumatchenko, Robert Rosenbaum, Ruben Moreno-Bote

Correlated neuronal activity and its relationship to coding, dynamics and network architecture

Open Access Books Published 2021 Verification Pending

Overview & Synopsis

Correlated activity in populations of neurons has been observed in many brain regions and plays a central role in cortical coding, attention, and network dynamics. Accurately quantifying neuronal correlations presents several difficulties. For example, despite recent advances in multicellular recording techniques, the number of neurons from which spiking activity can be simultaneously recorded remains orders magnitude smaller than the size of local networks. In addition, there is a lack of consensus on the distribution of pairwise spike cross correlations obtained in extracellular multi-unit recordings. These challenges highlight the need for theoretical and computational approaches to understand how correlations emerge and to decipher their functional role in the brain.

Indexed from repository: Directory of Open Access Books (www.doabooks.org)

Document Information

Document Title Correlated neuronal activity and its relationship to coding, dynamics and network architecture
Author / Organization Tatjana Tchumatchenko, Robert Rosenbaum, Ruben Moreno-Bote
Subject & Discipline RC321-571
Categories Open Access Books
Publication Year 2021
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website Directory of Open Access Books (www.doabooks.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-277022
Original Source Link Visit Source Page on www.doabooks.org »