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035   $a(CKB)4920000000094134
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/53292
035   $a(oapen)doab53292
035   $a(EXLCZ)994920000000094134
100   $a20202102d2018      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aMetastable Dynamics of Neural Ensembles
210   $cFrontiers Media SA$d2018
215   $a1 online resource (152 p.)
225 1 $aFrontiers Research Topics
311 08$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.
606   $aNeurosciences$2bicssc
610   $aAttractor Dynamics
610   $aMetastability
610   $aNeural Noise
610   $aTransient Dynamics
610   $aTrial-to-trial Variability
615  7$aNeurosciences
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