John G. Elias

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The use of switched capacitors as wide-range, programmable resistive elements in spatially extensive artificial dendritic trees (ADT's) is described. We show that silicon neuro-morphs with ADT's can produce impulse responses that last millions of times longer than the initiating impulse and that dynamical responses are tunable in both shape and duration(More)
A simple circuit is described that functions as an analog memory whose state and dynamics are directly controlled by pulsatile inputs. The circuit has been incorporated into a silicon neuron with a spatially extensive dendritic tree as a means of controlling the spike firing threshold of an integrate-and-fire soma. Spiking activity generated by the neuron(More)
A dendritic tree, as part of a silicon neuromorph, was modeled in VLSI as a multibranched, passive cable structure with multiple synaptic sites that either depolarize or hyperpolarize local "membrane patches," thereby raising or lowering the probability of spike generation of an integrate-and-fire "soma." As expected from previous theoretical analyses,(More)
Our VLSI neuromorphs, possess extensive dendritic trees with hundreds of excitatory and inhibitory synaptic sites. Useful signal processing can be achieved by evolving the appropriate connections to the synapses using genetic algorithms. In order to reduce the very large solution space, schemes for specifying connections have been borrowed from neural(More)
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