Cargando…
Predictive coding is a consequence of energy efficiency in recurrent neural networks
Predictive coding is a promising framework for understanding brain function. It postulates that the brain continuously inhibits predictable sensory input, ensuring preferential processing of surprising elements. A central aspect of this view is its hierarchical connectivity, involving recurrent mess...
Autores principales: | Ali, Abdullahi, Ahmad, Nasir, de Groot, Elgar, Johannes van Gerven, Marcel Antonius, Kietzmann, Tim Christian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768680/ https://www.ncbi.nlm.nih.gov/pubmed/36569556 http://dx.doi.org/10.1016/j.patter.2022.100639 |
Ejemplares similares
-
Energy efficiency and coding of neural network
por: Li, Shengnan, et al.
Publicado: (2023) -
Emergent mechanisms of evidence integration in recurrent neural networks
por: Quax, Silvan, et al.
Publicado: (2018) -
Consequences of Converting Graded to Action Potentials upon Neural Information Coding and Energy Efficiency
por: Sengupta, Biswa, et al.
Publicado: (2014) -
Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks
por: Güçlü, Umut, et al.
Publicado: (2017) -
Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision
por: Spoerer, Courtney J., et al.
Publicado: (2020)