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SUMMARY:LCN Seminar: Phase Transition in an Excitatory Integrate-and-Fire 
 Neural Network
DTSTART:20141120T133000
DTSTAMP:20260920T110311Z
UID:c1bf4349a079dd637a64d4b48f17f4321ed64f3b5286b5ae3b2d442e
CATEGORIES:Conferences - Seminars
DESCRIPTION:Grégory DUMONT\; Physcis Department\, University of Ottawa\nI
 n a neural network\, when a cell emits an action potential\, it activates 
 the downstream synapses. It implies\, with a certain probability\, the rel
 ease of neurotransmitters. The flow of positively charged ions into the po
 stsynaptic cell raises (depolarizes) the membrane potential\, bringing it 
 closer to threshold (excitatory postsynaptic potentials\, EPSP). Assuming 
 an all-to-all coupling\, when a neuron fires\, each cell of the network sh
 ould be affected by the action potential. Nonetheless\, since the release 
 of neurostransmitters is stochastic\, the depolarization of the postsynapt
 ic membrane potential only occurs according to a certain probability. As a
  result of neurotransmitters releases\, the firing of a neuron may bring t
 he postsynaptic cell to the threshold. Consequently\, the postsynaptic neu
 ron may fire and bring another cell to the threshold\, and so on. There is
  then a possibility of a domino effect in which many of the neurons fire i
 n unison. The stochastic system exhibits what physicists call a non-equili
 brium phase transitions. We study under which circumstances\, the phase tr
 ansition occurs.
LOCATION:AAC132 http://plan.epfl.ch/?room=AAC132
STATUS:CONFIRMED
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