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The Discrete Langevin Machine: Bridging the Gap Between Thermodynamic and Neuromorphic Systems by Kades, Lukas; Pawlowski, Jan M. is a scholarly article available to read on EtoBox.

What is The Discrete Langevin Machine: Bridging the Gap Between Thermodynamic and Neuromorphic Systems about?

A formulation of Langevin dynamics for discrete systems is derived as a class of generic stochastic processes. The dynamics simplify for a two-state system and suggest a network architecture which is implemented by the Langevin machine. The Langevin machine represents a promising approach to compute successfully quantitative exact results of Boltzmann distributed systems by LIF neurons. Besides a detailed introduction of the dynamics, different simplified models of a neuromorphic hardware system are studied with respect to a control of emerging sources of errors.

Author

Kades, Lukas; Pawlowski, Jan M.

Published

2019

Language

EN