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CATEGORIES:Brain Mapping Unit Networks Meeting and the Cambri
 dge Connectome Consortium
SUMMARY:Physiologically Based Brain Modeling and Verificat
 ion: Theory\, Experimental Tests\, and New Directi
 ons. - Peter Robinson\, Brain Dynamics Group\, Uni
 versity of Sydney\, Australia
DTSTART;TZID=Europe/London:20111101T110000
DTEND;TZID=Europe/London:20111101T120000
UID:TALK37482AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/37482
DESCRIPTION:A key requirement of brain modeling that goes beyo
 nd isolated applications is that it should interre
 late stimuli\, neural activity\, and measurements 
 in diverse situations and be testable by multiple 
 experiments. This requires dynamics at many scales
  to be incorporated simultaneously\, and the resul
 ts to be integrated into a unified framework. Thus
 \, integrative models need to combine salient feat
 ures of physiology\, anatomy\, and dynamics at var
 ious temporal and spatial scales.\n\nA fruitful ap
 proach to integrative modeling is via neural field
  theory in which microscopic neural properties are
  approximated in a way that enables quantitative p
 redictions for comparison with experiment\, plus i
 nterpretations of real data in terms of physiology
  and anatomy. In particular\, neural field approac
 hes provide unified theories of multiple phenomena
 \, and make quantitative predictions of many types
  of experimental observations. This enables such t
 heories to be tested against multiple data sets\, 
 and strongly constrains their parameters and chara
 cteristics in ways that cannot be done with theori
 es of just\none or a few phenomena.\n\nThis talk o
 utlines the main ideas of neural field theories th
 at span from synapses to the whole brain\, and are
  parameterized in terms of measurable physiologica
 l quantities. A selection of quantitative applicat
 ions will then be reviewed\, including comparisons
  with EEG spectra\, evoked responses\, seizures\, 
 arousal dynamics\, and fitting of predictions to d
 ata to infer brain states and physiological parame
 ters. Finally\, several very recent directions wil
 l be discussed\, selected from areas including new
  hybrid methods that combine spiking-neuron and fi
 eld-theoretic approaches\, and study of cortical w
 aves\, plasticity\, and networks.\n
LOCATION:Sir William Hardy Building on Downing Site
CONTACT:Mikail Rubinov
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