Cargando…
Feature Representations for Neuromorphic Audio Spike Streams
Event-driven neuromorphic spiking sensors such as the silicon retina and the silicon cochlea encode the external sensory stimuli as asynchronous streams of spikes across different channels or pixels. Combining state-of-art deep neural networks with the asynchronous outputs of these sensors has produ...
Autores principales: | Anumula, Jithendar, Neil, Daniel, Delbruck, Tobi, Liu, Shih-Chii |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811520/ https://www.ncbi.nlm.nih.gov/pubmed/29479300 http://dx.doi.org/10.3389/fnins.2018.00023 |
Ejemplares similares
-
Real-time classification and sensor fusion with a spiking deep belief network
por: O'Connor, Peter, et al.
Publicado: (2013) -
Research topic: neuromorphic engineering systems and applications. A snapshot of neuromorphic systems engineering
por: Delbruck, Tobi, et al.
Publicado: (2014) -
A Dataset for Visual Navigation with Neuromorphic Methods
por: Barranco, Francisco, et al.
Publicado: (2016) -
Neuromorphic Silicon Neuron Circuits
por: Indiveri, Giacomo, et al.
Publicado: (2011) -
Reconstruction of audio waveforms from spike trains of artificial cochlea models
por: Zai, Anja T., et al.
Publicado: (2015)