TY - GEN
T1 - FPGA implementation of spiking neural networks-an initial step towards building tangible collaborative autonomous agents
AU - Bellis, S.
AU - Razeeb, Kafil Mahmood
AU - Saha, Chitta
AU - Delaney, Kieran
AU - O'Mathuna, C.
AU - Pounds-Cornish, Anthony
AU - Souza, Gustavo de
AU - Colley, Martin
AU - Hagras, Hani
AU - Clarke, Graham
AU - Callaghan, V.
AU - Argyropoulos, C.
AU - Karistianos, C.
AU - Nikiforidis, G.
PY - 2005/2/14
Y1 - 2005/2/14
N2 - 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.
AB - 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.
UR - https://pureportal.coventry.ac.uk/en/publications/fpga-implementation-of-spiking-neural-networksan-initial-step-towards-building-tangible-collaborative-autonomous-agents(bffd9564-9ce3-4332-ae71-e4a18f1a9288).html
U2 - 10.1109/FPT.2004.1393322
DO - 10.1109/FPT.2004.1393322
M3 - Conference contribution
SN - 0-7803-8651-5
BT - 2004 IEEE International Conference on Field-Programmable Technology, 2004. Proceedings.
ER -