title: An analog circuit implementation of a quadratic integrate and fire neuron.
abstract: Silicon neurons are of importance both to implement hybrid electronic-biological system as well as to develop fundamental understanding of the neurobiological systems they emulate. We have implemented a hardware version of the quadratic integrate and fire neural model. The quadratic integrate and fire neuron differs from the more common integrate and fire neuron in that the model, and thus the hardware, intrinsically generate spikes. Readily available discrete surface mount components are used to make the hardware available to a wider audience and facilitate experimentation.
authors: University of California Santa Cruz, Santa Cruz, CA 95064, USA. basham.eric@gmail.com
authors: Eric J
authors: EJ
authors: Basham
authors: David W
authors: DW
authors: Parent
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D040761:Biomimetic Materials; D003198:Computer Simulation; D004581:Electronics / Q000295:instrumentation*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D009435:Synaptic Transmission / Q000502:physiology*