PyMem: A Graphical User Interface Tool for Neuromemristive Hardware–Software Co-Design
The hardware implementation of neuromorphic system requires energy and area-efficient hardware. Memristor-based hardware architectures is a promising approach that naturally mimics the switching behavior of the neuron models. However, to build complex neural systems, it is a tedious process to selec...
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Main Authors: | Aswani Radhakrishnan, Jushnah Palliyalil, Sreeja Babu, Anuar Dorzhigulov, Alex James |
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Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
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Series: | IEEE Open Journal of the Industrial Electronics Society |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10423246/ |
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