Bayesian Estimation and Inference using Stochastic Hardware

Bayesian Estimation and Inference using Stochastic Hardware

In this paper, we present the implementation of two types of Bayesian inference problems to demonstrate the potential of building probabilistic algorithms in hardware using single set of building blocks with the ability to perform these computations in real time. The first implementation, referred t...

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Bibliographic Details
Main Authors: Chetan Singh Thakur, Saeed eAfshar, Runchun Mark Wang, Tara Julia Hamilton, Jonathan eTapson, André evan Schaik
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-03-01
Series:Frontiers in Neuroscience
Subjects:
Bayesian inference
Hidden Markov Models
spiking networks
Particle Filters
stochastic computation
Stochastic electronics
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00104/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00104/full

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