LEADER 04584nam 2200649 450 001 9910137530503321 005 20230621141047.0 010 $a9782889194278$b(ebook) 035 $a(CKB)3710000000569677 035 $a(SSID)ssj0001683359 035 $a(PQKBManifestationID)16509212 035 $a(PQKBTitleCode)TC0001683359 035 $a(PQKBWorkID)15038008 035 $a(PQKB)11605887 035 $a(WaSeSS)IndRDA00056631 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/54476 035 $a(EXLCZ)993710000000569677 100 $a20160829d2013 uy | 101 0 $aeng 135 $aur||#|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aNeural masses and fields : modelling the dynamics of brain activity /$ftopic editors: Dimitris Pinotsis, Peter Robinson, Peter beim Graben and Karl Friston 210 $cFrontiers Media SA$d2015 210 31$aFrance :$cFrontiers Media SA,$d2013 215 $a1 online resource (237 pages) $cillustrations (colour); digital file(s) 225 1 $aFrontiers Research Topics 300 $aBibliographic Level Mode of Issuance: Monograph 320 $aIncludes bibliographical references. 330 $aBiophysical modelling of brain activity has had a long and illustrious history and has during the last few years profited from technological advances that allow obtaining neuroimaging data at an unprecedented spatiotemporal resolution. It is a very active area of research with applications ranging from the characterization of neurobiological and cognitive processes to constructing artificial brains in silico and building brain-machine interface and neuroprosthetic devices. The relevant community has always benefited from interdisciplinary interactions between different and seemingly distant fields ranging from mathematics and engineering to linguistics and psychology. This Research Topic aims to promote such interactions and we welcome all works related or that can contribute to an understanding of and construction of models for neural activity. The focus will be on biophysical models describing brain activity usually measured by fMRI or electrophysiology. Such models can be divided into two large classes: neural mass and neural field models. The main difference between these two classes is that field models prescribe how a quantity characterizing neural activity (such as average depolarization of a neural population) evolves over both space and time as opposed to mass models which characterize the evolution of this quantity over time only and assume that all neurons of a population are located at (approximately) the same point. This Research Topic will focus on both classes of such models and discuss several of their aspects and relative merits focusing on the main ideas of neural field and mass theories that span from synapses to the whole brain, comparisons of their predictions with EEG and MEG spectra of spontaneous brain activity, evoked responses, seizures, and fitting to data to infer brain states and map physiological parameters. We welcome submissions shedding light on the underlying dynamics within the neural tissue that can yield explanations of disorders such as epilepsy and migraine as well as normal functions such as attention, working memory and decision making and encourage papers reporting new theoretical and/or modelling work as well as advances in experimental methods that can benefit modelling endeavours. The aim of this Research Topic is to provide a forum for state-of-the-art research in the field and foster new theoretical advances. 410 0$aFrontiers Research Topics. 606 $aCalculus$2HILCC 606 $aMathematics$2HILCC 606 $aPhysical Sciences & Mathematics$2HILCC 610 $aneural disorders 610 $aself-organization 610 $aElectroencephalogram 610 $aneural networks 610 $aElectrophysiology 610 $aIntegro-differential equations 610 $aneural field theory 610 $aneural masses 610 $aoscillations 610 $aanaesthesia 615 7$aCalculus 615 7$aMathematics 615 7$aPhysical Sciences & Mathematics 700 $aDimitris Pinotsis$4auth$01365029 702 $aPinotsis$b Dimitris 702 $aBeim Graben$b P 702 $aRobinson$b Peter 801 0$bPQKB 801 2$bUkMaJRU 912 $a9910137530503321 996 $aNeural masses and fields : modelling the dynamics of brain activity$93386672 997 $aUNINA