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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Bibliographic Details
Main Authors: Aswani Radhakrishnan, Jushnah Palliyalil, Sreeja Babu, Anuar Dorzhigulov, Alex James
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Industrial Electronics Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10423246/
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