Supervised learning in spiking neural networks with FORCE training
FORCE training is a . Here the authors implement FORCE training in models of spiking neuronal networks and demonstrate that these networks can be trained to exhibit different dynamic behaviours.
Guardado en:
Autores principales: | Wilten Nicola, Claudia Clopath |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/36068cccbe2a4bdd825e40dd41cf60bd |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
SSTDP: Supervised Spike Timing Dependent Plasticity for Efficient Spiking Neural Network Training
por: Fangxin Liu, et al.
Publicado: (2021) -
Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors
por: Julian Büchel, et al.
Publicado: (2021) -
Modeling somatic and dendritic spike mediated plasticity at the single neuron and network level
por: Jacopo Bono, et al.
Publicado: (2017) -
A convolutional neural network for estimating synaptic connectivity from spike trains
por: Daisuke Endo, et al.
Publicado: (2021) -
A biomimetic neural encoder for spiking neural network
por: Shiva Subbulakshmi Radhakrishnan, et al.
Publicado: (2021)