Investigating neuronal activity by SPYCODE multi-channel data analyzer

被引：99

作者：

Bologna, Luca Leonardo ^{[1
,3
]}

Pasquale, Valentina ^{[1
]}

Garofalo, Matteo ^{[1
]}

Gandolfo, Mauro ^{[2
]}

Baljon, Pieter Laurens ^{[2
,4
,5
]}

Maccione, Alessandro ^{[1
]}

Martinoia, Sergio ^{[1
,2
]}

Chiappalone, Michela ^{[1
]}

机构：

[1] Italian Inst Technol IIT, Dept Neurosci & Brain Technol, I-16163 Genoa, Italy

[2] Univ Genoa, Dept Biophys & Elect Engn DIBE, Neuroengn & Bionano Technol Grp NBT, I-16145 Genoa, Italy

[3] Univ Paris 06, Lab Neurobiol Adapt Proc, F-75005 Paris, France

[4] CALTECH, Broad Fellows Program, Pasadena, CA 91125 USA

[5] CALTECH, Div Biol, Pasadena, CA 91125 USA

来源：

NEURAL NETWORKS | 2010年 / 23卷 / 06期

关键词：

Micro-electrode array; Cell culture; Batch processing; Connectivity; IN-VITRO; INFORMATION-THEORY; DEVELOPING NETWORKS; CORTICAL NETWORKS; ACTIVITY PATTERNS; BURSTS; IDENTIFICATION; AVALANCHES; PLASTICITY; DYNAMICS;

D O I：

10.1016/j.neunet.2010.05.002

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：685 / 697

页数：13

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