A speed-accurate self-sustaining head direction cell path integration model without recurrent excitation
| Autor: | Daniel Walters, Simon M. Stringer, Page Hji. |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
Models Neurological Motion Perception Neuroscience (miscellaneous) Action Potentials Frame of reference 03 medical and health sciences 0302 clinical medicine Neural Pathways Path integration Animals Humans Computer Simulation 0501 psychology and cognitive sciences Computer vision 050102 behavioral science & comparative psychology Head direction cells Neurons Recurrent excitation business.industry 05 social sciences Process (computing) Spatial cognition Nonlinear Dynamics Head Movements Space Perception Head (vessel) Artificial intelligence Nerve Net business Head 030217 neurology & neurosurgery |
| Zdroj: | Network: Computation in Neural Systems. 29:37-69 |
| ISSN: | 1361-6536 0954-898X |
| Popis: | The head direction (HD) system signals HD in an allocentric frame of reference. The system is able to update firing based on internally derived information about self-motion, a process known as path integration. Of particular interest is how path integration might maintain concordance between true HD and internally represented HD. Here we present a self-sustaining two-layer model, capable of self-organizing, which produces extremely accurate path integration. The implications of this work for future investigations of HD system path integration are discussed. |
| Databáze: | OpenAIRE |
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