Jason K. Eshraghian

Jason K. Eshraghian

University of Michigan

H-index: 20

North America-United States

About Jason K. Eshraghian

Jason K. Eshraghian, With an exceptional h-index of 20 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of RRAM, neuromorphic VLSI, memristor, spiking neural networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

Addressing cognitive bias in medical language models

Spiking neural networks for nonlinear regression

SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks

Optically Tunable Electrical Oscillations in Oxide-Based Memristors for Neuromorphic Computing

A memristor crossbar based on a novel ternary memristor model

Sparse subnetwork inference for neural network epistemic uncertainty estimation with improved Hessian approximation

Exploiting deep learning accelerators for neuromorphic workloads

Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots

Jason K. Eshraghian Information

University

Position

Postdoctoral Researcher

Citations(all)

1489

Citations(since 2020)

1465

Cited By

270

hIndex(all)

20

hIndex(since 2020)

18

i10Index(all)

38

i10Index(since 2020)

37

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Jason K. Eshraghian Skills & Research Interests

RRAM

neuromorphic VLSI

memristor

spiking neural networks

Top articles of Jason K. Eshraghian

Title

Journal

Author(s)

Publication Date

Addressing cognitive bias in medical language models

arXiv preprint arXiv:2402.08113

Samuel Schmidgall

Carl Harris

Ime Essien

Daniel Olshvang

Tawsifur Rahman

...

2024/2/12

Spiking neural networks for nonlinear regression

Royal Society Open Science

Alexander Henkes

Jason K Eshraghian

Henning Wessels

2024/5/1

SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks

arXiv preprint arXiv:2404.19668

Sreyes Venkatesh

Razvan Marinescu

Jason K Eshraghian

2024/4/15

Optically Tunable Electrical Oscillations in Oxide-Based Memristors for Neuromorphic Computing

Advanced Materials

Shimul Kanti Nath

Sujan Kumar Das

Sanjoy Kumar Nandi

Chen Xi

Camilo Verbel Marquez

...

2024/3/22

A memristor crossbar based on a novel ternary memristor model

Nonlinear Dynamics

Xiaoyuan Wang

Jiawei Zhou

Chuantao Dong

Chenxi Jin

Jason K Eshraghian

...

2024/3/20

Sparse subnetwork inference for neural network epistemic uncertainty estimation with improved Hessian approximation

APL Machine Learning

Yinsong Chen

Samson Yu

Jason K Eshraghian

Chee Peng Lim

2024/6/1

Exploiting deep learning accelerators for neuromorphic workloads

Neuromorphic Computing and Engineering

Pao-Sheng Vincent Sun

Alexander Titterton

Anjlee Gopiani

Tim Santos

Arindam Basu

...

2024/2/23

Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots

2024 IEEE International Conference on Robotics and Automation (ICRA)

Samuel Schmidgall

Axel Krieger

Jason Eshraghian

2024/5

Tri-State Memristors Based on Composable Discrete Devices

Xiao-Jing Li

Xiao-Yuan Wang

Pu Li

Herbert HC Iu

Jason K Eshraghian

...

2023/6/15

PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators

Advanced Intelligent Systems

Ziyu Wang

Yuting Wu

Yongmo Park

Sangmin Yoo

Xinxin Wang

...

2023/9/22

Neuromorphic intermediate representation: a unified instruction set for interoperable brain-inspired computing

arXiv preprint arXiv:2311.14641

Jens E Pedersen

Steven Abreu

Matthias Jobst

Gregor Lenz

Vittorio Fra

...

2023/11/24

BPLC + NOSO: backpropagation of errors based on latency code with neurons that only spike once at most

Complex & Intelligent Systems

Seong Min Jin

Dohun Kim

Dong Hyung Yoo

Jason Eshraghian

Doo Seok Jeong

2023/2/24

Brain-inspired learning in artificial neural networks: a review

Samuel Schmidgall

Jascha Achterberg

Thomas Miconi

Louis Kirsch

Rojin Ziaei

...

2023/5/18

Brains and bytes: Trends in neuromorphic technology

Adnan Mehonic

Jason Eshraghian

2023/6/1

Training spiking neural networks using lessons from deep learning

Proceedings of the IEEE

Jason K Eshraghian

Max Ward

Emre O Neftci

Xinxin Wang

Gregor Lenz

...

2023/9/6

Neuromorphic Cytometry: Implementation on cell counting and size estimation

Neuromorphic Computing and Engineering

Ziyao Zhang

Zhangyu Xu

Helen M McGuire

Chip Essam

Andrew Nicholson

...

2023/11/6

Guest Editorial: Dynamical Neuro-AI Learning Systems: Devices, Circuits, Architecture and Algorithms

IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Jason K Eshraghian

Arindam Basu

Corey Lammie

Shih-Chii Liu

Priydarshini Panda

2023/12/28

Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking

arXiv preprint arXiv:2304.04640

Jason Yik

Soikat Hasan Ahmed

Zergham Ahmed

Brian Anderson

Andreas G Andreou

...

2023/4/10

Neuromorphic deep spiking neural networks for seizure detection

Neuromorphic Computing and Engineering

Yikai Yang

Jason K Eshraghian

Nhan Duy Truong

Armin Nikpour

Omid Kavehei

2023/2/24

Multi-Objective Spiking Neural Network for Optimal Wind Power Prediction Interval

Yinsong Chen

Samson Yu

Jason K Eshraghian

Chee Peng Lim

2023/5/21

See List of Professors in Jason K. Eshraghian University(University of Michigan)

Co-Authors

H-index: 90
Wei D. Lu

Wei D. Lu

University of Michigan

H-index: 59
Sung Mo Kang

Sung Mo Kang

University of California, Santa Cruz

H-index: 39
Doo Seok Jeong

Doo Seok Jeong

Hanyang University

H-index: 36
Arindam Basu

Arindam Basu

Nanyang Technological University

H-index: 29
Emre Neftci

Emre Neftci

University of California, Irvine

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