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We present and characterize an analog VLSI network of 4 spiking neurons and 12 conductance-based synapses, implementing a silicon model of biophysical membrane dynamics and detailed channel kinetics in 384 digitally programmable parameters. Each neuron in the analog VLSI chip (NeuroDyn) implements generalized Hodgkin-Huxley neural dynamics in 3 channel(More)
—An asynchronous communication scheme for scal-able routing of spike events in large-scale neuromorphic hardware is presented. The routing scheme extends the Address-Event Representation (AER) protocol for spike event communication to a modular, hierarchical architecture supporting efficient implementation of global synaptic inter-connectivity across a(More)
—We demonstrate neuron spiking dynamics in a small network of analog silicon neurons with dynamical conductance-based synapses. The analog VLSI chip (NeuroDyn) emulates ana-log 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(More)
—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(More)
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(More)
—We present a system consisting of a spiking cochlea chip and real-time event-based processing software that is able to discriminate between two sets of sounds based on their periodicity content. The periodicity measurements are computed from the spike timing information of asynchronous output spikes from the binaural spiking-cochlea chip. The chip consists(More)
We study a range of neural dynamics under variations in biophysical parameters underlying extended Morris-Lecar and Hodgkin-Huxley models in three gating variables. The extended models are implemented in NeuroDyn, a four neuron, twelve synapse continuous-time analog VLSI programmable neural emulation platform with generalized channel kinetics and(More)
—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(More)
Synchrony and temporal coding in the central nervous system, as the source of local field potentials and complex neural dynamics, arises from precise timing relationships between spike action population events across neuronal assemblies. Recently it has been shown that coincidence detection based on spike event timing also presents a robust neural code(More)
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