Cargando…
An Oscillatory Neural Autoencoder Based on Frequency Modulation and Multiplexing
Oscillatory phenomena are ubiquitous in the brain. Although there are oscillator-based models of brain dynamics, their universal computational properties have not been explored much unlike in the case of rate-coded and spiking neuron network models. Use of oscillator-based models is often limited to...
Autores principales: | Soman, Karthik, Muralidharan, Vignesh, Chakravarthy, V. Srinivasa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048285/ https://www.ncbi.nlm.nih.gov/pubmed/30042669 http://dx.doi.org/10.3389/fncom.2018.00052 |
Ejemplares similares
-
Saccade Velocity Driven Oscillatory Network Model of Grid Cells
por: Chauhan, Ankur, et al.
Publicado: (2019) -
Modeling the Effect of Environmental Geometries on Grid Cell Representations
por: Jayakumar, Samyukta, et al.
Publicado: (2019) -
A Model of Motion Processing in the Visual Cortex Using Neural Field With Asymmetric Hebbian Learning
por: Gundavarapu, Anila, et al.
Publicado: (2019) -
A Complex-Valued Oscillatory Neural Network for Storage and Retrieval of Multidimensional Aperiodic Signals
por: Biswas, Dipayan, et al.
Publicado: (2021) -
A Biologically Plausible Architecture of the Striatum to Solve Context-Dependent Reinforcement Learning Tasks
por: Shivkumar, Sabyasachi, et al.
Publicado: (2017)