Inferring the temporal evolution of synaptic weights from dynamic functional connectivity

Inferring the temporal evolution of synaptic weights from dynamic functional connectivity

Abstract How to capture the temporal evolution of synaptic weights from measures of dynamic functional connectivity between the activity of different simultaneously recorded neurons is an important and open problem in systems neuroscience. Here, we report methodological progress to address this issu...

Full description

Bibliographic Details
Main Authors: Marco Celotto, Stefan Lemke, Stefano Panzeri
Format: Article
Language:English
Published: SpringerOpen 2022-12-01
Series:Brain Informatics
Subjects:
Dynamic functional connectivity
Spiking neural network
Communication delay
Transfer entropy
Cross-covariance
Online Access:https://doi.org/10.1186/s40708-022-00178-0

Internet

https://doi.org/10.1186/s40708-022-00178-0

Similar Items