FPGA implementation of a Spiking Neural Network for Real-Time Action Potential and Burst Detection-Reference-Cited by-同舟云学术

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FPGA implementation of a Spiking Neural Network for Real-Time Action Potential and Burst Detection

Published:2023-10-19 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Biomedical Circuits and Systems Conference (BioCAS)
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Author:

Cheslet Jérémy¹,Beaubois Romain¹,Rançon Ulysse¹,Bailly Landry¹,Bernert Marie²,Kohno Takashi³,Yvert Blaise²,Lévi Timothée¹

Affiliation:

1. University of Bordeaux,IMS Laboratory, CNRS UMR5218,Talence,France

2. Université Grenoble-Alpes,BrainTech Laboratory, INSERM U1205,Saint-Martin-d’Hères,France,38400

3. The University of Tokyo,LIMMS/CNRS-IIS, UMI 2820,Tokyo,Japan

Funder

Agence Nationale de la Recherche

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10388488/10388438/10388622.pdf?arnumber=10388622

Reference31 articles.

1. Active pixel sensor array for high spatio-temporal resolution electrophysiological recordings from single cell to large scale neuronal networks

2. BioMEA™: A versatile high-density 3D microelectrode array system using integrated electronics

3. The Utah Intracortical Electrode Array: A recording structure for potential brain-computer interfaces

4. New approaches for CMOS-based devices for large-scale neural recording

5. Neuronal ensemble control of prosthetic devices by a human with tetraplegia

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