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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2023-01-01
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Series: | Neuromorphic Computing and Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1088/2634-4386/acca45 |