Cargando…
Temporal sequence learning in winner-take-all networks of spiking neurons demonstrated in a brain-based device
Animal behavior often involves a temporally ordered sequence of actions learned from experience. Here we describe simulations of interconnected networks of spiking neurons that learn to generate patterns of activity in correct temporal order. The simulation consists of large-scale networks of thousa...
Autores principales: | McKinstry, Jeffrey L., Edelman, Gerald M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3674315/ https://www.ncbi.nlm.nih.gov/pubmed/23760804 http://dx.doi.org/10.3389/fnbot.2013.00010 |
Ejemplares similares
-
Versatile networks of simulated spiking neurons displaying winner-take-all behavior
por: Chen, Yanqing, et al.
Publicado: (2013) -
Temporal sequence learning in reentrantly coupled winner-take-all networks of spiking neurons
por: McKinstry, Jeffrey L
Publicado: (2013) -
Mechanisms of Winner-Take-All and Group Selection in Neuronal Spiking Networks
por: Chen, Yanqing
Publicado: (2017) -
The Temporal Winner-Take-All Readout
por: Shamir, Maoz
Publicado: (2009) -
Neuronal networks with NMDARs and lateral inhibition implement winner-takes-all
por: Shoemaker, Patrick A.
Publicado: (2015)