BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:On heavy tails propagation  in an Integrate and Fire Network - Lau
 ra Sacerdote (University of Torino)
DTSTART:20220214T170000Z
DTEND:20220214T180000Z
UID:TALK170021@talks.cam.ac.uk
DESCRIPTION:We consider a network whose nodes elaborate incoming input acc
 ording to the Integrate and Fire paradigm. In these networks the input to 
 each node is a suitable&nbsp\;superposition of point processes generated b
 y previous nodes. The output from each node is again a point process. Assu
 ming that the inter-arrival times involved in the input are distributed as
  regularly varying vectors\, together with some other technical hypotheses
 \, we prove that the inter-arrival times of the output from the nodes are 
 again regularly varying.This closure property of the regularly varying int
 ervals with respect to elaboration in the node according to the Integrate 
 and Fire model &nbsp\;may explain the often observed heavy tails of such i
 nter-times &nbsp\;in real networks. For example\, heavy tails are observed
  in neural networks and the phenomenon regards both input signals and outp
 ut signals.
LOCATION:Seminar Room 2\, Newton Institute
END:VEVENT
END:VCALENDAR