Prototyping a Biologically Plausible Neuron Model on a Multi-FPGA System

被引：0

作者：

Salazar-Garcia, Carlos ^{[2
]}

Chacon-Rodriguez, Alfonso ^{[1
]}

Rimolo-Donadio, Renato ^{[1
]}

Garcia-Ramirez, Ronny ^{[1
]}

Strydis, Christos ^{[3
]}

机构：

[1] Costa Rica Inst Technol, Elect, Cartago, Costa Rica

[2] Costa Rica Inst Technol, Mechatron Engn, Cartago, Costa Rica

[3] Erasmus MC, Dept Neurosci, Rotterdam, Netherlands

来源：

2023 IEEE 3RD COLOMBIAN BIOCAS WORKSHOP | 2023年

关键词：

Custom FPGA networks; HLS; inter-FPGA communication; multi-FPGA distributed processing; SPIKING;

D O I：

10.1109/ColBioCAS59270.2023.10280787

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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.

引用

页数：6

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