Cargando…
Biologically-Based Computation: How Neural Details and Dynamics Are Suited for Implementing a Variety of Algorithms
The Neural Engineering Framework (Eliasmith & Anderson, 2003) is a long-standing method for implementing high-level algorithms constrained by low-level neurobiological details. In recent years, this method has been expanded to incorporate more biological details and applied to new tasks. This pa...
Autores principales: | Dumont, Nicole Sandra-Yaffa, Stöckel, Andreas, Furlong, P. Michael, Bartlett, Madeleine, Eliasmith, Chris, Stewart, Terrence C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954128/ https://www.ncbi.nlm.nih.gov/pubmed/36831788 http://dx.doi.org/10.3390/brainsci13020245 |
Ejemplares similares
-
Exploiting semantic information in a spiking neural SLAM system
por: Dumont, Nicole Sandra-Yaffa, et al.
Publicado: (2023) -
Constructing functional models from biophysically-detailed neurons
por: Duggins, Peter, et al.
Publicado: (2022) -
Python Scripting in the Nengo Simulator
por: Stewart, Terrence C., et al.
Publicado: (2009) -
Learning to Select Actions with Spiking Neurons in the Basal Ganglia
por: Stewart, Terrence C., et al.
Publicado: (2012) -
A Unifying Mechanistic Model of Selective Attention in Spiking Neurons
por: Bobier, Bruce, et al.
Publicado: (2014)