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

  • Erasmus University Rotterdam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2023 IEEE Colombian Workshop BioCAS, ColBioCAS 2023 - Conference Proceedings
EditorsFaruk Fonthal Rico
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350306132
DOIs
StatePublished - 2023
Event2023 IEEE Colombian Workshop BioCAS, ColBioCAS 2023 - Bogota, Colombia
Duration: 26 Jul 202328 Jul 2023

Publication series

Name2023 IEEE Colombian Workshop BioCAS, ColBioCAS 2023 - Conference Proceedings

Conference

Conference2023 IEEE Colombian Workshop BioCAS, ColBioCAS 2023
Country/TerritoryColombia
CityBogota
Period26/07/2328/07/23

Keywords

  • Custom FPGA networks
  • HLS
  • inter-FPGA communication
  • multi-FPGA distributed processing

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