Multi-Depth Temporal Fusion for Feedforward, Locally Trained Spiking Neural Networks

arXiv:2609.37047 · cs.NE, cs.CV, cs.LG · Submitted 2026-09-29 · Read on arXiv

cs.NE, cs.CV, cs.LG

Submitted: 2026-09-29

Updated: 2026-09-30

Code: https://github.com/aidinattar/multi-depth-temporal-fusion-snn

Terminology

Accuracy — 42× in this paper · explained in 1 episode
Multi-Depth Temporal Fusion — 30× in this paper
Calibration — 11× in this paper · explained in 7 episodes
Ablation — 9× in this paper · explained in 1 episode
Benchmark — 5× in this paper · explained in 2 episodes
Adaptation — 4× in this paper · explained in 1 episode
Aggregation — 4× in this paper · explained in 1 episode
Computational Biology — 3× in this paper · explained in 2 episodes
Core — 3× in this paper · explained in 2 episodes
Ablation study — 2× in this paper · explained in 1 episode
Redundancy — 2× in this paper · explained in 2 episodes
Representation Learning — 2× in this paper · explained in 2 episodes
Sparsity — 2× in this paper · explained in 4 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
Active Regions — 1× in this paper · explained in 1 episode
Conference on Computer Vision and Pattern Recognition — 1× in this paper
Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
Credit assignment — 1× in this paper · explained in 3 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Generative AI — 1× in this paper · explained in 2 episodes
Gradient Flow — 1× in this paper · explained in 2 episodes
Online Adaptation — 1× in this paper · explained in 3 episodes
Regularization — 1× in this paper · explained in 3 episodes
Temporal Correlations — 1× in this paper · explained in 2 episodes

Terminology

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