CRAB 发表于 2025-3-23 10:47:18

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微尘 发表于 2025-3-23 15:29:33

A Top-Down Approach to SNN-STDP Networks,nd assessed on the N-MNIST and the IBM DVS128 Gesture datasets. Significant accuracy improvements are reported compared to state-of-the-art STDP-based systems (+9.3% on N-MNIST, +7.74% on IBM DVS128 Gesture).

厚颜 发表于 2025-3-23 19:28:54

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软膏 发表于 2025-3-23 22:46:11

Active Inference in Hebbian Learning Networks,arious Hebbian network parameters on the task performance. It is shown that the proposed Hebbian AIF approach outperforms the use of Q-learning, while not requiring any replay buffer, as in typical reinforcement learning systems.

Restenosis 发表于 2025-3-24 02:57:41

Book 2024important new findings about the Spike-Timing-Dependent Plasticity (STDP) learning rule, which is widely believed to be one of the key learning mechanisms taking place in the brain. Readers will be enabled to create novel classes of edge AI and robotics applications, using highly energy- and area-efficient SNNs.

雪崩 发表于 2025-3-24 08:48:02

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Expostulate 发表于 2025-3-24 13:25:50

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换话题 发表于 2025-3-24 17:25:25

Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems978-3-031-63565-6

–scent 发表于 2025-3-24 20:07:59

Ali Safa,Lars Keuninckx,Georges Gielen,Francky Catthoor

bonnet 发表于 2025-3-24 23:34:13

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查看完整版本: Titlebook: Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems; Applications in Dron Ali Safa,Lars Keuninckx,Francky Catthoor Book