Title
A new connectivity toolbox to infer topological features of in-vitro neural networks
Abstract
A detailed analysis of functional connectivity of in vitro neural networks, as well as the possibility to understand the interplay between topology, structure, function and dynamics, is very important for better understanding how the nervous system represents and stores the information. Thus, we developed an informatics toolbox to infer functional connectivity in in-vitro neuronal networks. To prove the validity of the software tool and to verify its performances, we used it to estimate topological metrics on mature hippocampal assemblies coupled to Micro-Electrode Arrays (MEAs).
Year
DOI
Venue
2015
10.1109/EMBC.2015.7318981
EMBC
Field
DocType
Volume
Software tool,Topology,Informatics,Computer science,Toolbox,Theoretical computer science,Software,Artificial neural network
Conference
2015
ISSN
Citations 
PageRank 
1557-170X
0
0.34
References 
Authors
4
4
Name
Order
Citations
PageRank
Vito Paolo Pastore100.34
Daniele Poli200.68
S Martinoia315820.68
Paolo Massobrio4225.21