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Provedor de dados: |
Nature Precedings
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País: |
United Kingdom
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Título: |
A new approach to the spatio-temporal pattern identification in neuronal multi-electrode registrations
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Autores: |
Federico Esposti
Jacopo Lamanna
Maria Gabriella Signorini
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Data: |
2007-11-09
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Ano: |
2007
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Palavras-chave: |
Neuroscience
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Resumo: |
A lot of methods were created in last decade for the spatio-temporal analysis of multi-electrode array (MEA) neuronal data sets. All these methods were implemented starting from a channel to channel analysis, with a great computational effort and onerous spatial pattern recognition task. 
Our idea is to approach the MEA data collection from a different point of view, i.e. considering all channels simultaneously. We transform the 2D plus time MEA signal in a mono-dimensional plus time signal and elaborate it as a normal 1D signal, using the Space-Amplitude Transform method. 
This geometrical transformation is completely invertible and allows to employ very fast processing algorithms. 

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Tipo: |
Manuscript
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Identificador: |
http://precedings.nature.com/documents/1306/version/1
oai:nature.com:10.1038/npre.2007.1306.1
http://dx.doi.org/10.1038/npre.2007.1306.1
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Fonte: |
Nature Precedings
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Direitos: |
Creative Commons Attribution 3.0 License
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