Abstract
The hippocampus region may help in the design of a neuro-controller used for path navigation of a robot. The spatial representation of the hippocampus can help provide a spatial mapping of the environment. The representation used is the place cell/place field representation. Place cell represents a population of neurons and place fields provide the spatial mapping of the environment. A place cell fires if the agent is believed to be in the environment for which its respective place field is representing. The hippocampus-inspired neural network model is not only spatially motivated but is also directionally driven. This model will be fully implemented onto an FPGA device to provide autonomy.
Original language | English |
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Title of host publication | 2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6 |
Place of Publication | NEW YORK |
Publisher | IEEE |
Pages | 795-800 |
Number of pages | 6 |
ISBN (Print) | 978-1-4244-1379-9 |
Publication status | Published - 2007 |
Event | International Joint Conference on Neural Networks - Orlando Duration: 12 Aug 2007 → 17 Aug 2007 |
Conference
Conference | International Joint Conference on Neural Networks |
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City | Orlando |
Period | 12/08/07 → 17/08/07 |
Keywords
- neural network architecture
- neural network hardware
- MODEL
- ROBOTS