Data/hora: 03/06/2024 03:02:27

Provedor de dados: | Nature Precedings
País: | United Kingdom
Título: | A new approach to the spatio-temporal pattern identification in neuronal multi-electrode registrations
Autores: | Federico Esposti; Jacopo Lamanna; Maria Gabriella Signorini.
Data: | 2007-11-09
Ano: | 2007
Palavras-chave: | Neuroscience.
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. &amp;#xd;&amp;#xa;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. &amp;#xd;&amp;#xa;This geometrical transformation is completely invertible and allows to employ very fast processing algorithms. &amp;#xd;&amp;#xa;
Tipo: | Manuscript

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

Fonte: | Nature Precedings
Fonte: | Creative Commons Attribution 3.0 License