02396oam 2200457 450 991013640900332120230621135816.09782889193578 (ebook)(CKB)3710000000612029(oapen)https://directory.doabooks.org/handle/20.500.12854/44119(EXLCZ)99371000000061202920191103c2014uuuu |u| |engurmn|---annantxtrdacontentcrdamediacrrdacarrierCorrelated neuronal activity and its relationship to coding, dynamics and network architecture[electronic resource] /topic editors Robert Rosenbaum, Tatjana Tchumatchenko and Rubén Moreno-BoteFrontiers Media SA2014France :Frontiers Media SA,20141 online resource (237 pages) illustrations, chartsFrontiers Research TopicsIncludes bibliographical references.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.NeuronsBrain functionNeural codingneural synchronyspike train analysisneuronal networksnoise correlationNeuronal correlationsNeurons.Brain function.Tatjana Tchumatchenkoauth1365474Robert RosenbaumauthRuben Moreno-BoteauthUkMaJRU9910136409003321Correlated neuronal activity and its relationship to coding, dynamics and network architecture3387413UNINA