Cargando…
Slowness and Sparseness Lead to Place, Head-Direction, and Spatial-View Cells
We present a model for the self-organized formation of place cells, head-direction cells, and spatial-view cells in the hippocampal formation based on unsupervised learning on quasi-natural visual stimuli. The model comprises a hierarchy of Slow Feature Analysis (SFA) nodes, which were recently show...
Autores principales: | Franzius, Mathias, Sprekeler, Henning, Wiskott, Laurenz |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1963505/ https://www.ncbi.nlm.nih.gov/pubmed/17784780 http://dx.doi.org/10.1371/journal.pcbi.0030166 |
Ejemplares similares
-
Slowness: An Objective for Spike-Timing–Dependent Plasticity?
por: Sprekeler, Henning, et al.
Publicado: (2007) -
Modeling place field activity with hierarchical slow feature analysis
por: Schönfeld, Fabian, et al.
Publicado: (2015) -
Spike-timing-dependent plasticity and temporal input statistics
por: Sprekeler, Henning, et al.
Publicado: (2007) -
Slow Feature Analysis on Retinal Waves Leads to V1 Complex Cells
por: Dähne, Sven, et al.
Publicado: (2014) -
Spatial representations of place cells in darkness are supported by path integration and border information
por: Zhang, Sijie, et al.
Publicado: (2014)