NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores DOI
Simone Manoni, Paul Scheffler, Alfio Di Mauro

et al.

Published: May 7, 2024

Language: Английский

Efficient spiking neural network design via neural architecture search DOI
Jiaqi Yan, Qianhui Liu, Malu Zhang

et al.

Neural Networks, Journal Year: 2024, Volume and Issue: 173, P. 106172 - 106172

Published: Feb. 16, 2024

Language: Английский

Citations

6
Direct training high-performance deep spiking neural networks: a review of theories and methods DOI Creative Commons
Chenlin Zhou, Han Zhang,

Liutao Yu

et al.

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: July 31, 2024

Spiking neural networks (SNNs) offer a promising energy-efficient alternative to artificial (ANNs), in virtue of their high biological plausibility, rich spatial-temporal dynamics, and event-driven computation. The direct training algorithms based on the surrogate gradient method provide sufficient flexibility design novel SNN architectures explore dynamics SNNs. According previous studies, performance models is highly dependent sizes. Recently, deep SNNs have achieved great progress both neuromorphic datasets large-scale static datasets. Notably, transformer-based show comparable with ANN counterparts. In this paper, we new perspective summarize theories methods for systematic comprehensive way, including theory fundamentals, spiking neuron models, advanced residual architectures, software frameworks hardware, applications, future trends.

Language: Английский

Citations

6
Training multi-bit Spiking Neural Network with Virtual Neurons DOI
Haoran Xu, Zonghua Gu, Ruimin Sun

et al.

Neurocomputing, Journal Year: 2025, Volume and Issue: unknown, P. 129825 - 129825

Published: March 1, 2025

Language: Английский

Citations

0
The development of general-purpose brain-inspired computing DOI
Weihao Zhang, Songchen Ma, Xinglong Ji

et al.

Nature Electronics, Journal Year: 2024, Volume and Issue: 7(11), P. 954 - 965

Published: Nov. 7, 2024

Language: Английский

Citations

2
Human brain computing and brain-inspired intelligence DOI Creative Commons
Jianfeng Feng, Viktor Jirsa, Wenlian Lu

et al.

National Science Review, Journal Year: 2024, Volume and Issue: 11(5)

Published: April 3, 2024

The relationship between structure, neural activity dynamics, and intelligent human brain function is complex multifaceted with deep roots in several academic disciplines.Its understanding a fundamental goal of research [1], may indicate the way towards next generation artificial intelligence [2].There are major challenges on way, which addressed this special issue National Science Review.First, establishing computational neuronal network model

Language: Английский

Citations

0
NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores DOI
Simone Manoni, Paul Scheffler, Alfio Di Mauro

et al.

Published: May 7, 2024

Language: Английский

Citations

0