A Self-Organizing Model of the Visual Development of Hand-Centred Representations
| Autor: | Benjamin D. Evans, James Matthew Tromans, Simon M. Stringer, Loredana Minini, Bedeho M. W. Mender, Juan M. Galeazzi, Mariana Paredes |
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| Rok vydání: | 2013 |
| Předmět: |
Primates
Visual perception Neural Networks genetic structures Visual System Nerve net Cognitive Neuroscience education lcsh:Medicine Biology Social and Behavioral Sciences Bioinformatics Models Biological Software Development (topology) Neuropsychology medicine Animals Learning Psychology Computer Simulation lcsh:Science TRACE (psycholinguistics) Computational Neuroscience Cognitive science Multidisciplinary Artificial neural network business.industry Visually guided lcsh:R Brain Eye movement Experimental Psychology Hand Sensory Systems medicine.anatomical_structure Visual Perception lcsh:Q Sensory Perception Neural Networks Computer Nerve Net business Algorithms Research Article Neuroscience |
| Zdroj: | PLoS ONE PLoS ONE, Vol 8, Iss 6, p e66272 (2013) |
| ISSN: | 1932-6203 |
| Popis: | We show how hand-centred visual representations could develop in the primate posterior parietal and premotor cortices during visually guided learning in a self-organizing neural network model. The model incorporates trace learning in the feed-forward synaptic connections between successive neuronal layers. Trace learning encourages neurons to learn to respond to input images that tend to occur close together in time. We assume that sequences of eye movements are performed around individual scenes containing a fixed hand-object configuration. Trace learning will then encourage individual cells to learn to respond to particular hand-object configurations across different retinal locations. The plausibility of this hypothesis is demonstrated in computer simulations. |
| Databáze: | OpenAIRE |
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