Abstract
There is now a great interest in exploiting the capabilities of hardware devices; especially the reconfigurable properties of FPGA to implement and study the dynamics of neural networks, specifically a biological inspired neural network. FPGA has a much greater appeal than other modes of implementation because ail FPGA implementation offers the flexibility of simple software (re-)configuration in comparison to other digital ASICs. In this paper a hippocampus-inspired spiking neural network is implemented oil all FPGA, in order to take advantage of these two characteristics as well as to achieve autonomy for a neuro-controller device.
Original language | English |
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Pages (from-to) | 362-371 |
Number of pages | 10 |
Journal | 8th International Conference on Evolvable Systems |
Volume | 5216 |
Publication status | Published - Sept 2008 |
Keywords
- Bio-inspired Hardware
- Spiking Neural Network
- FPGA
- ROBOTS