WAND – An Open Workbench for the Analysis of Neuronal Data

BONOMINI MP, FERNÁNDEZ E, BONGARD M.

Goettingen, Alemania

Conferencia; 29th Goettingen Neurobiology Conference and 5th Meeting of the German Neuroscience Society; 2003

Universidad de Goettingen y Sociedad de Neurociencia Alemana

To understand the massive parallel and distributed processing in the brain it seems to be plausible to use multielectrode approaches. Due to the technological progress in the last years this application has become more and more widespread. Based on the individual requirements and some physical properties of the resulting datasets (size,machine dependent word length, etc.) a broad spectrum of different software tools has been in de pendently of each other developed. As a result it is an tedious effort to integrate and adapt different software routines or tools into a personal workflow. Our goal is to develop and distribute an open analysis tool framework which offers a platform to overcome this drawback. The conceptional design of this workbench for the analysis of neuronal data (WAND) is intended to address certain aspects: -freely, public available, a graphical,fully customizable user interface easy extendable easy integration of existing tools or routines, modular concept which separates between frontend and analysis routines. The development of WAND is intended to overcome a series of technical inconveniences and to easy the use of sophisticated tools in the analysis of massive parallel recorded neuronal responses.