English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  The Impact of Structural Heterogeneity on Excitation-Inhibition Balance in Cortical Networks

Landau, I., Egger, R., Dercksen, V., Oberlaender, M., & Sompolinsky, H. (2016). The Impact of Structural Heterogeneity on Excitation-Inhibition Balance in Cortical Networks. Neuron, 92(5), 1106-1121. doi:10.1016/j.neuron.2016.10.027.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0000-7947-9 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-7948-8
Genre: Journal Article

Files

show Files

Locators

show
hide
Locator:
Link (Any fulltext)
Description:
-

Creators

show
hide
 Creators:
Landau, ID, Author
Egger, R1, 2, Author              
Dercksen, VJ, Author
Oberlaender, M1, 2, Author              
Sompolinsky, H, Author
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Former Research Group Computational Neuroanatomy, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528698              

Content

show
hide
Free keywords: -
 Abstract: Models of cortical dynamics often assume a homogeneous connectivity structure. However, we show that heterogeneous input connectivity can prevent the dynamic balance between excitation and inhibition, a hallmark of cortical dynamics, and yield unrealistically sparse and temporally regular firing. Anatomically based estimates of the connectivity of layer 4 (L4) rat barrel cortex and numerical simulations of this circuit indicate that the local network possesses substantial heterogeneity in input connectivity, sufficient to disrupt excitation-inhibition balance. We show that homeostatic plasticity in inhibitory synapses can align the functional connectivity to compensate for structural heterogeneity. Alternatively, spike-frequency adaptation can give rise to a novel state in which local firing rates adjust dynamically so that adaptation currents and synaptic inputs are balanced. This theory is supported by simulations of L4 barrel cortex during spontaneous and stimulus-evoked conditions. Our study shows how synaptic and cellular mechanisms yield fluctuation-driven dynamics despite structural heterogeneity in cortical circuits.

Details

show
hide
Language(s):
 Dates: 2016-12
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1016/j.neuron.2016.10.027
BibTex Citekey: LandauEDOS2016_2
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Neuron
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 92 (5) Sequence Number: - Start / End Page: 1106 - 1121 Identifier: -