LAST-PAIN: Learning Adaptive Spike Thresholds for Low Back Pain Biosignals Classification

Spiking neural networks (SNNs) present the potential for ultra-low-power computation, especially when implemented on dedicated neuromorphic hardware. However, a significant challenge is the efficient conversion of continuous real-world data into the discrete spike trains required by SNNs. In this pa...

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Detalhes bibliográficos

Principais autores:	Freek Hens, Mohammad Mahdi Dehshibi, Leila Bagheriye, Ana Tajadura-Jimenez, Mahyar Shahsavari
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2025-01-01
coleção:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Assuntos:	Spike train encoder spiking recurrent neural network EmoPain chronic pain biosignal analysis
Acesso em linha:	https://ieeexplore.ieee.org/document/10908225/
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