We then derive a mathematical model of this implementation and analyze the neuron and the model using nonlinear dynamical techniques including bifurcation.

Abstract. We have developed a VLSI silicon neuron and a corresponding mathe(cid:173) matical model that is a two state-variable system. We describe the cir(cid: ...

Jul 16, 2017 · Analysis of the bifurcation conditions allow us to identify different regimes in the parameter space that are desirable for biasing our silicon ...

Jun 28, 2012 · Analysis of the bifurcation conditions allow us to identify different regimes in the parameter space that are desirable for biasing our silicon ...

Analysis of the bifurcation conditions allow us to identify different regimes in the parameter space that are desirable for biasing our silicon neuron. This ...

An analysis of the nonlinear dynamical phenomenon associated with a silicon neuron, which shows that this silicon neuron has similar bifurcations to a ...

In this paper, we describe the bifurcations occurring in a silicon neuron with one sodium and one potassium channel. The channels are designed to model the ...

Nov 29, 1999 · We describe the circuit implementation and compare the behaviors observed in the silicon neuron and the mathematical model. We also perform ...

Analysis of the bifurcation conditions allow us to identify regimes in the parameter space that are desirable for biasing the circuit. We show a subcritical ...

For example, from the DST perspective, a bifurcation is responsible for a neuron's transition from resting to spiking, and can aid us in deducing a neuron's.