Jason K. Eshraghian
Jason K. Eshraghian
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Training spiking neural networks using lessons from deep learning
JK Eshraghian, M Ward, EO Neftci, X Wang, G Lenz, G Dwivedi, ...
Proceedings of the IEEE, 2023
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications
M Rahimiazghadi, C Lammie, JK Eshraghian, M Payvand, E Donati, ...
IEEE Transactions on Biomedical Circuits and Systems 14 (6), 1138 - 1159, 2020
Complementary Metal‐Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing
M Rahimi Azghadi, YC Chen, JK Eshraghian, J Chen, CY Lin, ...
Advanced Intelligent Systems, 1900189, 2020
High-Density Memristor-CMOS Ternary Logic Family
XY Wang, PF Zhou, JK Eshraghian, CY Lin, HHC Iu, TC Chang, SM Kang
IEEE Transactions on Circuits and Systems I: Regular Papers 68 (1), 264-274, 2021
Analog Weights in ReRAM DNN Accelerators
JK Eshraghian, SM Kang, S Baek, G Orchard, HHC Iu, W Lei
2019 IEEE International Conference on Artificial Intelligence Circuits and …, 2019
Neuromorphic Vision Hybrid RRAM-CMOS Architecture
JK Eshraghian, K Cho, C Zheng, M Nam, HHC Iu, W Lei, K Eshraghian
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (12 …, 2018
Adaptive synaptic memory via lithium ion modulation in RRAM devices
CY Lin, J Chen, PH Chen, TC Chang, Y Wu, JK Eshraghian, J Moon, ...
Small 16 (42), 2003964, 2020
Memristor-based binarized spiking neural networks: Challenges and applications
JK Eshraghian, X Wang, WD Lu
IEEE Nanotechnology Magazine 16 (2), 14-23, 2022
Human ownership of artificial creativity
JK Eshraghian
Nature Machine Intelligence 2 (3), 157-160, 2020
SpikeGPT: Generative pre-trained language model with spiking neural networks
RJ Zhu, Q Zhao, JK Eshraghian
arXiv preprint arXiv:2302.13939, 2023
How to build a memristive integrate-and-fire model for spiking neuronal signal generation
SM Kang, D Choi, JK Eshraghian, P Zhou, J Kim, BS Kong, X Zhu, ...
IEEE Transactions on Circuits and Systems I: Regular Papers 68 (12), 4837-4850, 2021
Memristive stochastic computing for deep learning parameter optimization
C Lammie, JK Eshraghian, WD Lu, MR Azghadi
IEEE Transactions on Circuits and Systems II: Express Briefs 68 (5), 1650-1654, 2021
A novel universal interface for constructing memory elements for circuit applications
C Zheng, D Yu, HHC Iu, T Fernando, T Sun, JK Eshraghian, H Guo
IEEE Transactions on Circuits and Systems I: Regular Papers 66 (12), 4793-4806, 2019
Formulation and implementation of nonlinear integral equations to model neural dynamics within the vertebrate retina
JK Eshraghian, S Baek, JH Kim, N Iannella, K Cho, YS Goo, HHC Iu, ...
International Journal of Neural Systems 28 (07), 1850004, 2018
A behavioral spice model of a binarized memristor for digital logic implementation
X Wang, C Jin, JK Eshraghian, HHC Iu, C Ha
Circuits, Systems, and Signal Processing 40, 2682-2693, 2021
Adaptive precision CNN accelerator using radix-X parallel connected memristor crossbars
J Lee, JK Eshraghian, K Cho, K Eshraghian
arXiv preprint arXiv:1906.09395, 2019
Maximization of crossbar array memory using fundamental memristor theory
JK Eshraghian, KR Cho, HHC Iu, T Fernando, N Iannella, SM Kang, ...
IEEE Transactions on Circuits and Systems II: Express Briefs 64 (12), 1402-1406, 2017
Signal flow platform for mapping and simulation of vertebrate retina for sensor systems
K Cho, S Baek, SW Cho, JH Kim, YS Goo, JK Eshraghian, N Iannella, ...
IEEE Sensors Journal 16 (15), 5856-5866, 2016
The fine line between dead neurons and sparsity in binarized spiking neural networks
JK Eshraghian, WD Lu
arXiv preprint arXiv:2201.11915, 2022
Modelling and characterization of dynamic behavior of coupled memristor circuits
JK Eshraghian, HHC Iu, T Fernando, D Yu, Z Li
2016 IEEE International Symposium on Circuits and Systems (ISCAS), 690-693, 2016
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