A spiking neuron model: applications and learning
Neural Networks
A subthreshold MOS neuron circuit based on the Volterra system
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Which model to use for cortical spiking neurons?
IEEE Transactions on Neural Networks
Bio-inspired visual signal processing based on neuromorphic circuit
IMCAS'10 Proceedings of the 9th WSEAS international conference on Instrumentation, measurement, circuits and systems
Bio-inspired visual information processing: the neuromorphic approach
WSEAS Transactions on Circuits and Systems
EHAC'12/ISPRA/NANOTECHNOLOGY'12 Proceedings of the 11th WSEAS international conference on Electronics, Hardware, Wireless and Optical Communications, and proceedings of the 11th WSEAS international conference on Signal Processing, Robotics and Automation, and proceedings of the 4th WSEAS international conference on Nanotechnology
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This paper describes a mixed-signal VLSI design utilizing the controlled conductance properties of MOSFETs, for the RF filter of mobile communication and the biologically plausible neuromorphic hardware. The programmable linear conductance is realized by the pair of MOSFETs in the triode region, and it produces the voltage-controlled tunable function with the demonstration in the areas of tunable analogue VLSI for RF communication and electronic neurons of biologically plausible characteristics. The transconductance amplifier based on the proposed MOSFET conductance has the bandwidth over 6 GHz and illustrated the hardware implementation of the biologically plausible neurons of Hodgkin-Huxley formalism.