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FPGA implementation of spiking neural networks - an initial step towards building tangible collaborative autonomous agents

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14 Author(s)
Bellis, S. ; NMRC, Univ. Coll. Cork, Ireland ; Razeeb, K.M. ; Saha, C. ; Delaney, K.
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This work contains the results of an initial study into the FPGA implementation of a spiking neural network. This work was undertaken as a task in a project that aims to design and develop a new kind of tangible collaborative autonomous agent. The project intends to exploit/investigate methods for engineering emergent collective behaviour in large societies of actual miniature agents that can learn and evolve. Such multi-agent systems could be used to detect and collectively repair faults in a variety of applications where it is difficult for humans to gain access, such as fluidic environments found in critical components of material/industrial systems. The initial achievement of implementation of a spiking neural network on a FPGA hardware platform and results of a robotic wall following task are discussed by comparison with software driven robots and simulations.

Published in:

Field-Programmable Technology, 2004. Proceedings. 2004 IEEE International Conference on

Date of Conference:

6-8 Dec. 2004

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