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arXiv · 1901.05214

The Discrete Langevin Machine: Bridging the Gap Between Thermodynamic and Neuromorphic Systems

Lukas Kades·Jan M. Pawlowski
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Abstract

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.

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Lukas Kades, Jan M. Pawlowski. 2019-01-16. The Discrete Langevin Machine: Bridging the Gap Between Thermodynamic and Neuromorphic Systems. https://doi.org/10.1103/physreve.101.063304

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