Investigating neuronal activity by SPYCODE multi-channel data analyzer.
Multi-channel acquisition from neuronal networks, either in vivo or in vitro, is becoming a standard in modern neuroscience in order to infer how cell assemblies communicate. In spite of the large diffusion of micro-electrode-array-based systems, researchers usually find it difficult to manage the huge quantity of data routinely recorded during the experimental sessions. In fact, many of the available open-source toolboxes still lack two fundamental requirements for treating multi-channel recordings: (i) a rich repertoire of algorithms for extracting information both at a single channel and at the whole network level; (ii) the capability of autonomously repeating the same set of computational operations to 'multiple' recording streams (also from different experiments) and without a manual intervention. The software package we are proposing, named SPYCODE, was mainly developed to respond to the above constraints and generally to offer the scientific community a 'smart' tool for multi-channel data processing.
Bologna
Luca Leonardo
LL
Department of Neuroscience and Brain Technologies, Italian Institute of Technology-IIT, Via Morego 30, Genoa, Italy.
Pasquale
Valentina
V
Garofalo
Matteo
M
Gandolfo
Mauro
M
Baljon
Pieter Laurens
PL
Maccione
Alessandro
A
Martinoia
Sergio
S
Chiappalone
Michela
M
D000200:Action Potentials / Q000502:physiology; D000818:Animals; D002478:Cells, Cultured; D004594:Electrophysiology / Q000295:instrumentation / Q000379:methods* / Q000639:trends; D006801:Humans; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D009482:Neurophysiology / Q000295:instrumentation / Q000379:methods / Q000639:trends; D051381:Rats; D017207:Rats, Sprague-Dawley; D012815:Signal Processing, Computer-Assisted; D012984:Software / Q000639:trends*