This paper describes a novel architecture for the hardware implementation of non-linear multi-layer cellular neural networks. This makes it feasible to design CNNs with millions o...
: A genetic algorithm (GA) based recurrent fuzzy neural network modeling method for dynamic nonlinear chemical process is presented. The dynamic recurrent fuzzy neural network (RFN...
This study investigates the control of spike-timing dependent plasticity (STDP) by regulation of the dendritic spike threshold of the postsynaptic neuron. The control of synaptic ...
Patrick D. Roberts, Gerardo Lafferriere, Nathaniel...
Abstract— We present a simple silicon circuit for modelling voltagedependent ion channels found within neural cells, capturing both the gating particle’s sigmoidal activation (...
Harmonic analysis is applied to analyze the transmission of bandlimited signals via spike trains generated by a pair of leaky integrate-and-fire (LIF) model neurons organized in a...
Charles H. Anderson, Qingfeng Huang, John W. Clark