Hardware spiking neural network with run-time reconfigurable connectivity in

Authors:
Daniel Roggen;Stephane Hofmann;Yann Thoma;Dario Floreano
Affiliations:
-;-;-;-
Venue:
EH '03 Proceedings of the 2003 NASA/DoD Conference on Evolvable Hardware
Year:
2003

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Abstract

A cellular hardware implementation of a spiking neuralnetwork with run-time reconfigurable connectivity is presented.It is implemented on a compact custom FPGA boardwhich provides a powerful reconfigurable hardware platformfor hardware and software design. Complementingthe system, a CPU synthesized on the FPGA takes care ofinterfacing the network with the external world. The FPGAboard and the hardware network are demonstrated in theform of a controller embedded on the Khepera robot for atask of obstacle avoidance. Finally, future implementationson new multi-cellular hardware are discussed.