English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Uncovering the organization of neural circuits with generalized phase locking analysis

Safavi, S., Panagiotaropoulos, T., Kapoor, V., Ramirez-Villegas, J., Logothetis, N., & Besserve, M. (submitted). Uncovering the organization of neural circuits with generalized phase locking analysis.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Safavi, S1, 2, Author              
Panagiotaropoulos, T1, 2, Author              
Kapoor, V1, 2, Author              
Ramirez-Villegas, JF1, 2, Author              
Logothetis, NK1, 2, Author              
Besserve, M1, 2, Author              
Affiliations:
1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: Spike-field coupling characterizes the relationship between neurophysiological activities observed at two different scales: on the one hand, the action potential produced by a neuron, on the other hand a mesoscopic “field” signal, reflecting subthreshold activities. This provides insights about the role of a specific unit in network dynamics. However, assessing the overall organization of neural circuits based on multivariate data requires going beyond pairwise approaches, and remains largely unaddressed. We develop Generalized Phase Locking Analysis (GPLA) as an multichannel extension of univariate spike-field coupling. GPLA estimates the dominant spatio-temporal distributions of field activity and neural ensembles, and the strength of the coupling between them. We demonstrate the statistical benefits and interpretability of this approach in various biophysical neuronal network models and Utah array recordings. In particular, we show that GPLA, combined with neural field modeling, help untangle the contribution of recurrent interactions to the spatio-temporal dynamics observed in multi-channel recordings.

Details

show
hide
Language(s):
 Dates: 2020-12
 Publication Status: Submitted
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1101/2020.12.09.413401
 Degree: -

Event

show

Legal Case

show

Project information

show

Source

show