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SUMMARY:BMI Seminar //  Susanne Schreiber - Setting network states via the
  dynamics of action potential generation
DTSTART:20221005T160000
DTEND:20221005T170000
DTSTAMP:20260609T230404Z
UID:805ef92f51962b03074444571eed816ceac09aca9ec2887f268052d3
CATEGORIES:Conferences - Seminars
DESCRIPTION:Susanne Schreiber\, Institute for Theoretical Biology at Humbo
 ldt-Universität zu Berlin\nTo understand neural computation and the dynam
 ics in the brain\, we usually focus on the connectivity among neurons. In 
 contrast\, the properties of single neurons are often thought to be neglig
 ible\, at least as far as the activity of networks is concerned. In this t
 alk\, I will contradict this notion and demonstrate how the biophysics of 
 action-potential generation can have a decisive impact on network behaviou
 r. Our recent theoretical work shows that\, among regularly firing neurons
 \, the somewhat unattended homoclinic type (characterized by a spike onset
  via a saddle homoclinic orbit bifurcation) particularly stands out: Fir
 st\, spikes of this type foster specific network states - synchronization 
 in inhibitory and splayed-out/frustrated states in excitatory networks. Se
 cond\, homoclinic spikes can easily be induced by changes in a variety of 
 physiological parameters (like temperature\, extracellular potassium\, or 
 dendritic morphology). As a consequence\, such parameter changes can even 
 induce switches in network states\, solely based on a modification of cell
 ular voltage dynamics. I will provide first experimental evidence and disc
 uss functional consequences of homoclinic spikes for the design of efficie
 nt pattern-generating motor circuits in insects as well as for mammalian p
 athologies like febrile seizures. Our analysis predicts an interesting rol
 e for homoclinic action potentials as an integral part of brain dynamics
  in both health and disease.\n 
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717 https://epfl.zoom.u
 s/j/62550191552?pwd=OFRDVzBHb0cyVG1wYkxUSFFEMUNPdz09
STATUS:CONFIRMED
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