Cargando…
A Metric for Evaluating Neural Input Representation in Supervised Learning Networks
Supervised learning has long been attributed to several feed-forward neural circuits within the brain, with particular attention being paid to the cerebellar granular layer. The focus of this study is to evaluate the input activity representation of these feed-forward neural networks. The activity o...
Autores principales: | Carrillo, Richard R., Naveros, Francisco, Ros, Eduardo, Luque, Niceto R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302114/ https://www.ncbi.nlm.nih.gov/pubmed/30618549 http://dx.doi.org/10.3389/fnins.2018.00913 |
Ejemplares similares
-
Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks
por: Naveros, Francisco, et al.
Publicado: (2017) -
CPU-GPU hybrid platform for efficient spiking neural-network simulation
por: Naveros, Francisco, et al.
Publicado: (2013) -
Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model
por: Luque, Niceto R., et al.
Publicado: (2016) -
Corrigendum: Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks
por: Naveros, Francisco, et al.
Publicado: (2018) -
Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation
por: Luque, Niceto R., et al.
Publicado: (2019)