Paper Info
Title
SpiCoDyn: A Toolbox for the Analysis of Neuronal Network Dynamics and Connectivity from Multi-Site Spike Signal Recordings.
Abstract
We implemented an automated and efficient open-source software for the analysis of multi-site neuronal spike signals. The software package, named SPICODYN, has been developed as a standalone windows GUI application, using C# programming language with Microsoft Visual Studio based on .NET framework 4.5 development environment. Accepted input data formats are HDF5, level 5 MAT and text files, containing recorded or generated time series spike signals data. SpiCoDyn processes such electrophysiological signals focusing on: spiking and bursting dynamics and functional-effective connectivity analysis. In particular, for inferring network connectivity, a new implementation of the transfer entropy method is presented dealing with multiple time delays (temporal extension) and with multiple binary patterns (high order extension). SPICODYN is specifically tailored to process data coming from different Multi-Electrode Arrays setups, guarantying, in those specific cases, automated processing. The optimized implementation of the Delayed Transfer Entropy and the High-Order Transfer Entropy algorithms, allows performing accurate and rapid analysis on multiple spike trains from thousands of electrodes.
Year
DOI
Venue
2018
10.1007/s12021-017-9343-z
NEUROINFORMATICS
Keywords
Field
DocType
Neuronal networks,Multi-electrode arrays,Connectivity,Transfer entropy,Spiking and bursting activity,Multi-threading
Multithreading,Hierarchical Data Format,Transfer entropy,.NET Framework,Computer science,Microsoft Visual Studio,Toolbox,Software,Artificial intelligence,Machine learning,Binary number
Journal
Volume
Issue
ISSN
16.0
1
1539-2791
Citations 
PageRank 
References 
1
0.37
17
Authors
4
Name
Order
Citations
PageRank
Vito Paolo Pastore151.66
Aleksandar Godjoski251.66
S Martinoia315820.68
Paolo Massobrio4225.21