Cargando…
Independent Component Analysis in Spiking Neurons
Although models based on independent component analysis (ICA) have been successful in explaining various properties of sensory coding in the cortex, it remains unclear how networks of spiking neurons using realistic plasticity rules can realize such computation. Here, we propose a biologically plaus...
Autores principales: | Savin, Cristina, Joshi, Prashant, Triesch, Jochen |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2858697/ https://www.ncbi.nlm.nih.gov/pubmed/20421937 http://dx.doi.org/10.1371/journal.pcbi.1000757 |
Ejemplares similares
-
General conditions for spiking neurons and plasticity rules to perform independent component analysis
por: Brito, Carlos SN, et al.
Publicado: (2011) -
Emergence of task-dependent representations in working memory circuits
por: Savin, Cristina, et al.
Publicado: (2014) -
Self-organization of complex cortex-like wiring in a spiking neural network model
por: Miner, Daniel, et al.
Publicado: (2015) -
A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity
por: Wang, Quan, et al.
Publicado: (2017) -
Biological complexity facilitates tuning of the neuronal parameter space
por: Schneider, Marius, et al.
Publicado: (2023)