Ricardo Escolá

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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)
We study different wavelet-based algorithms for the detection of neurological action potentials recorded using micro-electrode arrays (MEA). We plan to develop a new family of ASIC-embedded low power algorithms close to the recording sites. We use the wavelet theory, not for previous-to-the-detection denoising stage (as it is usually used for) but for the(More)
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