LEADER 02396oam 2200457 450 001 9910136409003321 005 20230621135816.0 010 $a9782889193578 (ebook) 035 $a(CKB)3710000000612029 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/44119 035 $a(EXLCZ)993710000000612029 100 $a20191103c2014uuuu |u| | 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCorrelated neuronal activity and its relationship to coding, dynamics and network architecture$b[electronic resource] /$ftopic editors Robert Rosenbaum, Tatjana Tchumatchenko and Rube?n Moreno-Bote 210 $cFrontiers Media SA$d2014 210 1$aFrance :$cFrontiers Media SA,$d2014 215 $a1 online resource (237 pages) $cillustrations, charts 225 1 $aFrontiers Research Topics 320 $aIncludes bibliographical references. 330 $aCorrelated 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. 606 $aNeurons 606 $aBrain function 610 $aNeural coding 610 $aneural synchrony 610 $aspike train analysis 610 $aneuronal networks 610 $anoise correlation 610 $aNeuronal correlations 615 0$aNeurons. 615 0$aBrain function. 700 $aTatjana Tchumatchenko$4auth$01365474 702 $aRobert Rosenbaum$4auth 702 $aRuben Moreno-Bote$4auth 801 0$bUkMaJRU 912 $a9910136409003321 996 $aCorrelated neuronal activity and its relationship to coding, dynamics and network architecture$93387413 997 $aUNINA