Cargando…
A hierarchy of time scales supports unsupervised learning of behavioral sequences
Autores principales: | Muscinelli, Samuel P, Gerstner, Wulfram |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4697588/ http://dx.doi.org/10.1186/1471-2202-16-S1-P78 |
Ejemplares similares
-
Optimal Stimulation Protocol in a Bistable Synaptic Consolidation Model
por: Gastaldi, Chiara, et al.
Publicado: (2019) -
How single neuron properties shape chaotic dynamics and signal transmission in random neural networks
por: Muscinelli, Samuel P., et al.
Publicado: (2019) -
Surprise minimization as a learning strategy in neural networks
por: Faraji, Mohammad Javad, et al.
Publicado: (2015) -
Neuromodulation by surprise: a biologically plausible model of the learning rate dynamics
por: Faraji, Mohammad Javad, et al.
Publicado: (2014) -
Synaptic tagging and capture: a bridge from molecular to behaviour
por: Ziegler, Lorric, et al.
Publicado: (2011)