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We study a range of neural dynamics under variations in biophysical parameters implementing extended Morris-Lecar and Hodgkin-Huxley models in three gating variables. The dynamics are emulated in NeuroDyn, an analog VLSI programmable neural emulation platform with generalized channel kinetics and biophysical membrane dynamics. We present simulation and measurement results and observe consistent agreement...
We present a compact circuit architecture for analog VLSI realization of event-addressable neuromorphic arrays with conductance-based synaptic dynamics. Synaptic input events are time-multiplexed, pooled by synapse type according to common reversal potential and activation dynamics. One such physical synapse element per postsynaptic neuron is provided for each type, selected by type index along with...
We study synaptic dynamics in a biophysical network of four coupled spiking neurons implemented in an analog VLSI silicon microchip. The four neurons implement a generalized Hodgkin-Huxley model with individually configurable rate-based kinetics of opening and closing of Na+ and K+ ion channels. The twelve synapses implement a rate-based first-order kinetic model of neurotransmitter and receptor dynamics,...
We demonstrate neuron spiking dynamics in a small network of analog silicon neurons with dynamical conductance-based synapses. The analog VLSI chip (NeuroDyn) emulates analog continuous-time dynamics in a fully digitally programmable network of 4 biophysical neurons. Each neuron in NeuroDyn implements Hodgkin-Huxley dynamics in 4 variables, with 28 parameters defining the conductances, reversal potentials,...
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