Data/hora: 05/06/2024 19:12:06

Provedor de dados: 	17	
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