Analog VLSI neuromorphic image acquisition and pre-processing systems
Neural Networks - Special issue: automatic target recognition
A Current Conveyor based Field Programmable Analog Array
Analog Integrated Circuits and Signal Processing - Special issue on field programmable analog arrays
Simple model of spiking neurons
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
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This paper presents a set of reconfigurable analog implementations of piecewise linear spiking neuron models using second generation current conveyor (CCII) building blocks. With the same topology and circuit elements, without W/L modification which is impossible after circuit fabrication, these circuits can produce different behaviors, similar to the biological neurons, both for a single neuron as well as a network of neurons just by tuning reference current and voltage sources. The models are investigated, in terms of analog implementation feasibility and costs, targeting large scale hardware implementations. Results show that, in order to gain the best performance, area and accuracy; these models can be compromised. Simulation results are presented for different neuron behaviors with CMOS 350 nm technology.