An FPGA implementation of Bayesian inference with spiking neural networks

An FPGA implementation of Bayesian inference with spiking neural networks

Spiking neural networks (SNNs), as brain-inspired neural network models based on spikes, have the advantage of processing information with low complexity and efficient energy consumption. Currently, there is a growing trend to design hardware accelerators for dedicated SNNs to overcome the limitatio...

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Bibliographic Details
Main Authors: Haoran Li, Bo Wan, Ying Fang, Qifeng Li, Jian K. Liu, Lingling An
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Neuroscience
Subjects:
spiking neural networks
probabilistic graphical models
Bayesian inference
importance sampling
FPGA
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1291051/full

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