System model of neuromorphic sequence learning on a memristive crossbar array

Machine learning models for sequence learning and processing often suffer from high energy consumption and require large amounts of training data. The brain presents more efficient solutions to how these types of tasks can be solved. While this has inspired the conception of novel brain-inspired alg...

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Bibliographic Details
Main Authors: Sebastian Siegel, Younes Bouhadjar, Tom Tetzlaff, Rainer Waser, Regina Dittmann, Dirk J Wouters
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Neuromorphic Computing and Engineering
Subjects:
Online Access:https://doi.org/10.1088/2634-4386/acca45