Memristor Crossbar Circuits Implementing Equilibrium Propagation for On-Device Learning
Equilibrium propagation (EP) has been proposed recently as a new neural network training algorithm based on a local learning concept, where only local information is used to calculate the weight update of the neural network. Despite the advantages of local learning, numerical iteration for solving t...
Main Authors: | Seokjin Oh, Jiyong An, Seungmyeong Cho, Rina Yoon, Kyeong-Sik Min |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-07-01
|
Series: | Micromachines |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-666X/14/7/1367 |
Similar Items
-
Area-Efficient Mapping of Convolutional Neural Networks to Memristor Crossbars Using Sub-Image Partitioning
by: Seokjin Oh, et al.
Published: (2023-01-01) -
Memristor-CMOS Hybrid Neuron Circuit with Nonideal-Effect Correction Related to Parasitic Resistance for Binary-Memristor-Crossbar Neural Networks
by: Tien Van Nguyen, et al.
Published: (2021-07-01) -
Synapse-Neuron-Aware Training Scheme of Defect-Tolerant Neural Networks with Defective Memristor Crossbars
by: Jiyong An, et al.
Published: (2022-02-01) -
Research on the Impact of Data Density on Memristor Crossbar Architectures in Neuromorphic Pattern Recognition
by: Minh Le, et al.
Published: (2023-10-01) -
Weight Update Generation Circuit Utilizing Phase Noise of Integrated Complementary Metal–Oxide–Semiconductor Ring Oscillator for Memristor Crossbar Array Neural Network‐Based Stochastic Learning
by: Woorham Bae, et al.
Published: (2020-05-01)