Dynamics of Hodgkin Huxley Neuron across chips implemented on a reconfigurable platform

Abstract

The spiking dynamics from a Hodgkin Huxley neuron, implemented on a reconfigurable and programmable platform is presented here. The similarity between biology and silicon has been exploited to model the ion channels in the neuron, and their voltages and time constants on hardware. We demonstrate the reproducibility of the results by replicating the dynamics across different chips along with a discussion on the methodology of tuning to reproduce similar responses. The reconfigurability enables one to make use of a single primary design to obtain a variety of results. The measurements are taken from the system compiled on a Field Programmable Analog Array (FPAA) fabricated on a 350nm process.