The discrete Langevin machine

• Verfasst von: Kades, Lukas [VerfasserIn]
• Verfasst von: Pawlowski, Jan M. [VerfasserIn]
• Titel: The discrete Langevin machine
• Titelzusatz: bridging the gap between thermodynamic and neuromorphic systems
• Verf.angabe: Lukas Kades and Jan M. Pawlowski
• E-Jahr: 2019
• Jahr: 18 Apr 2019
• Umfang: 23 S.
• Fussnoten: Gesehen am 11.09.2020
• Titel Quelle: Enthalten in: De.arxiv.org
• Ort Quelle: [S.l.] : Arxiv.org, 1991
• Jahr Quelle: 2019
• Band/Heft Quelle: (2019) Artikel-Nummer 1901.05214, 23 Seiten
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: High Energy Physics - Lattice
• Sach-SW: Physics - Computational Physics
• Sach-SW: Computer Science - Neural and Evolutionary Computing
• K10plus-PPN: 1587689634

Abstract

A formulation of Langevin dynamics for discrete systems is derived as a new class of generic stochastic processes. The dynamics simplify for a two-state system and suggest a novel 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 new dynamics, different simplified models of a neuromorphic hardware system are studied with respect to a control of emerging sources of errors.