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Published August 2010 | public
Journal Article

Investigating neuronal activity by SPYCODE multi-channel data analyzer

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.

Additional Information

© 2010 Elsevier Ltd. Received 9 October 2009; revised 29 March 2010; accepted 5 May 2010. Available online 12 May 2010. The authors are very grateful to Mariateresa (Brunella) Tedesco who performed the cell cultures and the experiments presented in this paper. The authors would like to thank all the people who, in the course of the years, have given a significant help in inspiring and developing the present version of the proposed software: Massimo Grattarola, Marco Bove, Giovanni Verreschi, Alessandro Vato, Laura Cozzi, Nicola Rosso and Antonio Novellino.

Additional details

Created:
August 22, 2023
Modified:
October 20, 2023