TY - GEN
T1 - Prototyping a Biologically Plausible Neuron Model on a Multi-FPGA System
AU - Salazar-García, Carlos
AU - Chacón-Rodríguez, Alfonso
AU - Rimolo-Donadio, Renato
AU - García-Ramírez, Ronny
AU - Strydis, Christos
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - A hardware-based computational-efficient biophysical model of a neural network that considers the inferior olivary nucleus is presented. The implementation uses a multi-FPGA system based on the PlasticNet interconnection framework, which enables the implementation of a cost-effective and scalable model able to handle over ten thousand neurons with five FPGA evaluation boards. With the same setup, it was possible to simulate one thousand neurons in real time.
AB - A hardware-based computational-efficient biophysical model of a neural network that considers the inferior olivary nucleus is presented. The implementation uses a multi-FPGA system based on the PlasticNet interconnection framework, which enables the implementation of a cost-effective and scalable model able to handle over ten thousand neurons with five FPGA evaluation boards. With the same setup, it was possible to simulate one thousand neurons in real time.
KW - Custom FPGA networks
KW - HLS
KW - inter-FPGA communication
KW - multi-FPGA distributed processing
UR - http://www.scopus.com/inward/record.url?scp=85176130575&partnerID=8YFLogxK
U2 - 10.1109/ColBioCAS59270.2023.10280787
DO - 10.1109/ColBioCAS59270.2023.10280787
M3 - Contribución a la conferencia
AN - SCOPUS:85176130575
T3 - 2023 IEEE Colombian Workshop BioCAS, ColBioCAS 2023 - Conference Proceedings
BT - 2023 IEEE Colombian Workshop BioCAS, ColBioCAS 2023 - Conference Proceedings
A2 - Rico, Faruk Fonthal
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Colombian Workshop BioCAS, ColBioCAS 2023
Y2 - 26 July 2023 through 28 July 2023
ER -