Cargando…
Using a Low-Power Spiking Continuous Time Neuron (SCTN) for Sound Signal Processing
This work presents a new approach based on a spiking neural network for sound preprocessing and classification. The proposed approach is biologically inspired by the biological neuron’s characteristic using spiking neurons, and Spike-Timing-Dependent Plasticity (STDP)-based learning rule. We propose...
Autores principales: | Bensimon, Moshe, Greenberg, Shlomo, Haiut, Moshe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913968/ https://www.ncbi.nlm.nih.gov/pubmed/33557214 http://dx.doi.org/10.3390/s21041065 |
Ejemplares similares
-
SCTN: Event-based object tracking with energy-efficient deep convolutional spiking neural networks
por: Ji, Mingcheng, et al.
Publicado: (2023) -
Corrigendum: SCTN: event-based object tracking with energy-efficient deep convolutional spiking neural networks
por: Ji, Mingcheng, et al.
Publicado: (2023) -
Spike-Timing-Based Computation in Sound Localization
por: Goodman, Dan F. M., et al.
Publicado: (2010) -
A novel system for continuous, real-time monitoring of heart motion signals
por: Dori, Guy, et al.
Publicado: (2017) -
Low-Power Wearable Respiratory Sound Sensing
por: Oletic, Dinko, et al.
Publicado: (2014)