Skip to Main Content (Press Enter)

Logo UNIMORE
  • ×
  • Home
  • Degree programmes
  • Modules
  • Jobs
  • People
  • Research Outputs
  • Academic units
  • Third Mission
  • Projects
  • Skills

UNI-FIND
Logo UNIMORE

|

UNI-FIND

unimore.it
  • ×
  • Home
  • Degree programmes
  • Modules
  • Jobs
  • People
  • Research Outputs
  • Academic units
  • Third Mission
  • Projects
  • Skills
  1. Research Outputs

Non-monotonic current-to-rate response function in a novel integrate-and-fire model neuron

Conference Paper
Publication Date:
2002
Short description:
Non-monotonic current-to-rate response function in a novel integrate-and-fire model neuron / Giugliano, M.; La Camera, G.; Rauch, A.; Luscher, H. R.; Fusi, S.. - 2415:(2002), pp. 141-146. ( 12th International Conference on Artifical Neural Networks (ICANN 2002) Madrid, esp 28-30 august 2002) [10.1007/3-540-46084-5_24].
abstract:
A novel integrate-and-fire model neuron is proposed to account for a non-monotonic f-I response function, as experimentally observed. As opposed to classical forms of adaptation, the present integrate- and-fire model the spike-emission process incorporates a state - dependent inactivation that makes the probability of emitting a spike decreasing as a function of the mean depolarization level instead of the mean firing rate. © Springer-Verlag Berlin Heidelberg 2002.
Iris type:
Relazione in Atti di Convegno
List of contributors:
Giugliano, M.; La Camera, G.; Rauch, A.; Luscher, H. R.; Fusi, S.
Authors of the University:
GIUGLIANO Michele
Handle:
https://iris.unimore.it/handle/11380/1333710
Full Text:
https://iris.unimore.it//retrieve/handle/11380/1333710/641225/glf02.pdf
Book title:
Artificial Neural Networks — ICANN 2002
Published in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.4.5.0