A System-on-Chip Based Hybrid Neuromorphic Compute Node Architecture for Reproducible Hyper-Real-Time Simulations of Spiking Neural Networks

A System-on-Chip Based Hybrid Neuromorphic Compute Node Architecture for Reproducible Hyper-Real-Time Simulations of Spiking Neural Networks

Despite the great strides neuroscience has made in recent decades, the underlying principles of brain function remain largely unknown. Advancing the field strongly depends on the ability to study large-scale neural networks and perform complex simulations. In this context, simulations in hyper-real-...

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Bibliographic Details
Main Authors: Guido Trensch, Abigail Morrison
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Neuroinformatics
Subjects:
neuromorphic computing
compute node
FPGA
SoC
spiking neural networks
simulation
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2022.884033/full

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https://www.frontiersin.org/articles/10.3389/fninf.2022.884033/full

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