title: Hardware implementation of a new artificial neuron.
abstract: This paper describes an FPGA (Field Programmable Gate Arrays) implementation of a new type of neuron, the Quantron. The goal is to demonstrate the capability of current technology to closely recreate the human body's reaction to a change of temperature. This is accomplished by creating a function that adds a number of kernels at different frequencies depending on the external temperature. Once the sum of the kernels reaches a certain threshold, the artificial neural network, equivalent to its biological counterpart, "reacts" by sending a specific output signal designed to trigger a response. The various elements of each subsystem are discussed and implemented in software and hardware. The results are analyzed in terms of accuracy and efficiency compared to the biological equivalent.
authors.affiliation: Département de mathématiques et génie industriel, Ecole Polytechnique de Montréal, Canada. richard.labib@polymtl.ca
authors.forename: Richard
authors.initials: R
authors.lastname: Labib
authors.forename: Francis
authors.initials: F
authors.lastname: Audette
authors.forename: Alexandre
authors.initials: A
authors.lastname: Fortin
authors.forename: Reza
authors.initials: R
authors.lastname: Assadi
mesh_terms: D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D016571:Neural Networks, Computer; D009474:Neurons; D013696:Temperature