Cargando…
Temporal sequence learning via adaptation in biologically plausible spiking neural networks
Autores principales: | Duarte, Renato, Seriès, Peggy, Morrison, Abigail |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4126573/ http://dx.doi.org/10.1186/1471-2202-15-S1-P85 |
Ejemplares similares
-
Syntax processing properties of generic cortical circuits
por: Duarte, Renato, et al.
Publicado: (2013) -
ROS-MUSIC toolchain for spiking neural network simulations in a robotic environment
por: Weidel, Philipp, et al.
Publicado: (2015) -
Biological plausibility of kernel-based learning
por: Fortney, Kristen, et al.
Publicado: (2007) -
Stabilizing working memory in spiking networks with biologically plausible synaptic dynamics
por: Seeholzer, Alexander, et al.
Publicado: (2014) -
Biologically plausible reinforcement learning of continuous actions
por: Rombouts, Jaldert O, et al.
Publicado: (2013)