Rank Order Temporal Spike Encoder converting continuous multi-dimensional sensory features into exact millisecond spike arrival sequences.
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Updated
Sep 9, 2026 - Python
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spike-encoding
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Rank Order Temporal Spike Encoder converting continuous multi-dimensional sensory features into exact millisecond spike arrival sequences.
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Updated
Sep 9, 2026 - Python
Spiking neural network (SNN) toolkit for spike encoding, LIF model training, NIR export, inference, and deployment with PyTorch and snnTorch.
machine-learning deep-learning pytorch neural-networks spiking-neural-networks nir snn neuromorphic-computing snntorch spike-encoding
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Oct 13, 2026 - Python
Conceptual framework for distilling an ANN teacher into a spiking neural network for imbalanced tabular classification using spike encoding and hybrid knowledge-distillation losses.
python machine-learning deep-learning tabular-data artificial-neural-networks spiking-neural-networks class-imbalance imbalanced-learning neuromorphic-computing knowledge-distillation-task spike-encoding
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Jul 28, 2026 - Python
Code, run records, and analysis for “The Value of Spike Timing” (IEEE CogMI 2026, arXiv:2606.01442): a leakage-resistant benchmark of 27 snnTorch neuron × spike-encoding configurations for network intrusion detection.
benchmark reproducible-research pytorch cybersecurity intrusion-detection spiking-neural-networks network-intrusion-detection neuromorphic-computing snntorch spike-encoding
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Oct 8, 2026 - Python
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