2010 Special Issue: Investigating neuronal activity by SPYCODE multi-channel data analyzer

  • Authors:

  • Luca Leonardo Bologna;Valentina Pasquale;Matteo Garofalo;Mauro Gandolfo;Pieter Laurens Baljon;Alessandro Maccione;Sergio Martinoia;Michela Chiappalone

  • Affiliations:

  • Department of Neuroscience and Brain Technologies, Italian Institute of Technology - IIT, Via Morego 30, 16163, Genova, Italy and Laboratory of Neurobiology of Adaptive Processes, University Pierr ...;Department of Neuroscience and Brain Technologies, Italian Institute of Technology - IIT, Via Morego 30, 16163, Genova, Italy;Department of Neuroscience and Brain Technologies, Italian Institute of Technology - IIT, Via Morego 30, 16163, Genova, Italy;Neuroengineering and Bio-nano Technology Group (NBT), Department of Biophysical and Electronic Engineering (DIBE), University of Genova, Via all'Opera Pia 11A, 16145, Genova, Italy;Neuroengineering and Bio-nano Technology Group (NBT), Department of Biophysical and Electronic Engineering (DIBE), University of Genova, Via all'Opera Pia 11A, 16145, Genova, Italy and Broad Fello ...;Department of Neuroscience and Brain Technologies, Italian Institute of Technology - IIT, Via Morego 30, 16163, Genova, Italy;Department of Neuroscience and Brain Technologies, Italian Institute of Technology - IIT, Via Morego 30, 16163, Genova, Italy and Neuroengineering and Bio-nano Technology Group (NBT), Department o ...;Department of Neuroscience and Brain Technologies, Italian Institute of Technology - IIT, Via Morego 30, 16163, Genova, Italy

  • Venue:
  • Neural Networks
  • Year:
  • 2010

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Abstract

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.