Cargando…
Adaptive time scales in recurrent neural networks
Recent experiments have revealed a hierarchy of time scales in the visual cortex, where different stages of the visual system process information at different time scales. Recurrent neural networks are ideal models to gain insight in how information is processed by such a hierarchy of time scales an...
Autores principales: | Quax, Silvan C., D’Asaro, Michele, van Gerven, Marcel A. J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347927/ https://www.ncbi.nlm.nih.gov/pubmed/32647161 http://dx.doi.org/10.1038/s41598-020-68169-x |
Ejemplares similares
-
Emergent mechanisms of evidence integration in recurrent neural networks
por: Quax, Silvan, et al.
Publicado: (2018) -
Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks
por: Güçlü, Umut, et al.
Publicado: (2017) -
Population codes of prior knowledge learned through environmental regularities
por: Quax, Silvan C., et al.
Publicado: (2021) -
Editorial: Artificial Neural Networks as Models of Neural Information Processing
por: van Gerven, Marcel, et al.
Publicado: (2017) -
Predictive coding is a consequence of energy efficiency in recurrent neural networks
por: Ali, Abdullahi, et al.
Publicado: (2022)