EDITORIAL
Published on 03 Oct 2024
Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II
doi 10.3389/fncom.2024.1455530
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- Frontiers in Computational Neuroscience
- Research Topics
- Understanding and Bridging the Gap between Neuromorphic Computing and Machine Learning, volume II
Understanding and Bridging the Gap between Neuromorphic Computing and Machine Learning, volume II
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Articles
ORIGINAL RESEARCH
Published on 16 May 2024
Information bottleneck-based Hebbian learning rule naturally ties working memory and synaptic updates
doi 10.3389/fncom.2024.1240348
- 2,614 views
ORIGINAL RESEARCH
Published on 24 Jan 2024
Training multi-layer spiking neural networks with plastic synaptic weights and delays
doi 10.3389/fnins.2023.1253830
- 819 views
- 1 citation
ORIGINAL RESEARCH
Published on 05 Jan 2024
An FPGA implementation of Bayesian inference with spiking neural networks
doi 10.3389/fnins.2023.1291051
- 2,287 views
ORIGINAL RESEARCH
Published on 21 Nov 2023
Enhanced representation learning with temporal coding in sparsely spiking neural networks
doi 10.3389/fncom.2023.1250908
- 1,412 views
ORIGINAL RESEARCH
Published on 10 Nov 2023
STCA-SNN: self-attention-based temporal-channel joint attention for spiking neural networks
doi 10.3389/fnins.2023.1261543
- 1,754 views
- 2 citations
ORIGINAL RESEARCH
Published on 09 Nov 2023
Learnable axonal delay in spiking neural networks improves spoken word recognition
doi 10.3389/fnins.2023.1275944
- 1,627 views
- 5 citations
ORIGINAL RESEARCH
Published on 07 Aug 2023
Efficient SNN multi-cores MAC array acceleration on SpiNNaker 2
doi 10.3389/fnins.2023.1223262
- 1,559 views
- 2 citations
ORIGINAL RESEARCH
Published on 26 Jul 2023
BIDL: a brain-inspired deep learning framework for spatiotemporal processing
doi 10.3389/fnins.2023.1213720
- 1,675 views
REVIEW
Published on 16 Jun 2023
Direct learning-based deep spiking neural networks: a review
doi 10.3389/fnins.2023.1209795
- 6,097 views
- 22 citations
ORIGINAL RESEARCH
Published on 14 Jun 2023
Spiking neural network with working memory can integrate and rectify spatiotemporal features
doi 10.3389/fnins.2023.1167134
- 2,042 views
- 3 citations
ORIGINAL RESEARCH
Published on 18 May 2023
Approaching the mapping limit with closed-loop mapping strategy for deploying neural networks on neuromorphic hardware
doi 10.3389/fnins.2023.1168864
- 780 views
- 1 citation
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Frontiers in Computational Neuroscience
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Frontiers in Neuroscience
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