Real-Time Classification and Sensor Fusion with a Spiking Deep Belief Network

Real-Time Classification and Sensor Fusion with a Spiking Deep Belief Network

Deep Belief Networks (DBNs) have recently shown impressive performance on a broad range of classification problems. Their generative properties allow better understanding of the performance, and provide a simpler solution for sensor fusion tasks. However, because of their inherent need for feedback...

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Bibliographic Details
Main Authors: Peter eO'Connor, Daniel eNeil, Shih-Chii eLiu, Tobi eDelbruck, Michael ePfeiffer
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-10-01
Series:Frontiers in Neuroscience
Subjects:
Spiking Neural network
Deep Belief Networks
Generative Model
sensory fusion
Silicon Cochlea
Silicon Retina
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00178/full

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http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00178/full

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