LEADER 01857nam 2200385z- 450 001 9910346758003321 005 20231214132840.0 035 $a(CKB)4920000000094134 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/53292 035 $a(EXLCZ)994920000000094134 100 $a20202102d2018 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMetastable Dynamics of Neural Ensembles 210 $cFrontiers Media SA$d2018 215 $a1 electronic resource (152 p.) 225 1 $aFrontiers Research Topics 311 $a2-88945-437-1 330 $aA classical view of neural computation is that it can be characterized in terms of convergence to attractor states or sequential transitions among states in a noisy background. After over three decades, is this still a valid model of how brain dynamics implements cognition? This book provides a comprehensive collection of recent theoretical and experimental contributions addressing the question of stable versus transient neural population dynamics from complementary angles. These studies showcase recent efforts for designing a framework that encompasses the multiple facets of metastability in neural responses, one of the most exciting topics currently in systems and computational neuroscience. 610 $aAttractor Dynamics 610 $aTrial-to-trial Variability 610 $aTransient Dynamics 610 $aNeural Noise 610 $aMetastability 700 $aEmili Balaguer-Ballester$4auth$01317910 702 $aRuben Moreno-Bote$4auth 702 $aGustavo Deco$4auth 702 $aDaniel Durstewitz$4auth 906 $aBOOK 912 $a9910346758003321 996 $aMetastable Dynamics of Neural Ensembles$93033081 997 $aUNINA