2005 Special issue: FPGA implementation of self organizing map with digital phase locked loops
Neural Networks - 2005 Special issue: IJCNN 2005
Pulse density Hopfield neural network system with learning capability using FPGA
ACC'08 Proceedings of the WSEAS International Conference on Applied Computing Conference
Pulse density recurrent neural network systems with learning capability using FPGA
WSEAS Transactions on Circuits and Systems
A bit-stream pulse-based digital neuron model for neural networks
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
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This paper describes a new pulse-mode digital neuron which is based on voting neuron. The signal level of the neuron is represented by frequency of pulse signals. The proposed neuron provides adjustable nonlinear function, which resembles the sigmoid function. The proposed neuron and experimental multilayer neural network (MNN) are implemented on field programmable gate array (FPGA) and various experiments are conducted to test the performance of the proposed system. The experimental results show that the proposed neuron has rigid adjustable nonlinear function.