Cellular neural networks and visual computing: foundations and applications
Cellular neural networks and visual computing: foundations and applications
Spiking Neuron Models: An Introduction
Spiking Neuron Models: An Introduction
An Evolved Circuit, Intrinsic in Silicon, Entwined with Physics
ICES '96 Proceedings of the First International Conference on Evolvable Systems: From Biology to Hardware
CoDi-1Bit: A Simplified Cellular Automata Based Neuron Model
AE '97 Selected Papers from the Third European Conference on Artificial Evolution
2005 Special Issue: A regenerating spiking neural network
Neural Networks - 2005 Special issue: IJCNN 2005
Evolving Hardware with Self-reconfigurable connectivity in Xilinx FPGAs
AHS '06 Proceedings of the first NASA/ESA conference on Adaptive Hardware and Systems
Evolutionary morphogenesis for multi-cellular systems
Genetic Programming and Evolvable Machines
AHS '08 Proceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems
Evolving hardware by dynamically reconfiguring xilinx FPGAs
ICES'05 Proceedings of the 6th international conference on Evolvable Systems: from Biology to Hardware
ICES'10 Proceedings of the 9th international conference on Evolvable systems: from biology to hardware
FPGA-based biophysically-meaningful modeling of olivocerebellar neurons
Proceedings of the 2014 ACM/SIGDA international symposium on Field-programmable gate arrays
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As a step towards creating evolutionary developmental neural networks on FPGAs, a bio-inspired cellular structure suitable for online routing of axons and dendrites on FPGAs based on a new digital spiking neuron model (introduced previously by the authors) is proposed here. This structure is designed to allow changing the routing of the dendrites and axons and formation/elimination of synapses on the fly by dynamic partial reconfiguration of the LUTs. The feasibility and techniques for implementing this structure on a Xilinx Virtex-5 FPGA are also studied.