SIMONE: A Realistic Neural Network Simulator to Reproduce MEA-Based Recordings

Abstract

Contemporary multielectrode arrays (MEAs) used to record extracellular activity from neural tissues can deliver data at rates on the order of 100 Mbps. Such rates require efficient data compression and/or preprocessing algorithms implemented on an application specific integrated circuit (ASIC) close to the MEA. We present SIMONE (Statistical sIMulation Of… (More)
DOI: 10.1109/TNSRE.2007.914467

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Cite this paper

@article{Escola2008SIMONEAR, title={SIMONE: A Realistic Neural Network Simulator to Reproduce MEA-Based Recordings}, author={Rita Escola and Christophe Pouzat and A. Chaffiol and Blaise Yvert and R{\'e}gis Guillemaud and I. E. Magnin}, journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering}, year={2008}, volume={16}, pages={149-160} }