English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Critical branching processes in neural networks

Levina, A., Herrmann, J., & Geisel, T. (2008). Critical branching processes in neural networks. Proceedings of Applied Mathematics and Mechanics, 7(1), 1030701-1030702.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-000C-B6FC-B Version Permalink: https://hdl.handle.net/21.11116/0000-000C-B6FE-9
Genre: Meeting Abstract

Files

show Files

Locators

show
hide
Locator:
https://onlinelibrary.wiley.com/doi/epdf/10.1002/pamm.200700029 (Publisher version)
Description:
-
OA-Status:
Not specified

Creators

show
hide
 Creators:
Levina, A1, Author                 
Herrmann, JM, Author
Geisel, T, Author
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: Self-organized criticality generates complex behavior in systems of simple elements. It is observed in various biological neural systems and has been analyzed in simplified model systems. Branching processes often considered to be a mean-field approximation to the dynamics of critical systems. Here we study the validity of such an approximation for the case of a neural network.

Details

show
hide
Language(s): eng - English
 Dates: 2008-03
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1002/pamm.200700029
 Degree: -

Event

show
hide
Title: Sixth International Congress on Industrial Applied Mathematics (ICIAM 2007) and GAMM Annual Meeting
Place of Event: Zürich, Switzerland
Start-/End Date: 2007-07-16 - 2007-07-20

Legal Case

show

Project information

show

Source 1

show
hide
Title: Proceedings of Applied Mathematics and Mechanics
  Other : PAMM
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Weinheim, Fed. Rep. of Germany : Wiley-VCH Verlag
Pages: - Volume / Issue: 7 (1) Sequence Number: - Start / End Page: 1030701 - 1030702 Identifier: ISSN: 1617-7061
CoNE: https://pure.mpg.de/cone/journals/resource/111026743049002