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SUMMARY:LCN Seminar: <br>Homeostatic control of neurons: a control theory 
 approach</br>
DTSTART:20140220T134500
DTSTAMP:20260916T193726Z
UID:4e1cec1759b05131b7a78f96b8d449e3e23bec1269534c585005d2b1
CATEGORIES:Conferences - Seminars
DESCRIPTION:Mark van ROSSUM\; Institute for Adaptive and Neural Computatio
 n\, University of Edinburgh\nNeurons are equipped with homeostatic mechani
 sms that counteract long-term perturbations of a neuron's average activity
  and are thought to maintain neurons in a healthy and information-rich ope
 rating regime. However\, systematic analysis of homeostatic control has be
 en lacking.\nThe analysis presented here reveals two important aspects of 
 homeostasis.  First\, we consider networks of neurons with homeostasis an
 d show that homeostatic control can destabilize activity in otherwise stab
 le recurrent networks. This can be prevented by dramatically slowing down 
 the homeostatic control.  Next\, we consider homeostatic control in which
  feedback is mediated via a cascade of multiple intermediate stages.  Cou
 nter-intuitively\, the addition of extra stages in the homeostatic control
  loop further destabilizes single neurons and networks.  Our theoretical 
 framework for homeostasis thus reveals previously unconsidered constraints
  on homeostasis in biological networks\, and provides a possible explanati
 on for the slow time-constants of homeostatic regulation observed experime
 ntally.
LOCATION:AAC108 http://plan.epfl.ch/?room=AAC108
STATUS:CONFIRMED
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