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Jason Kamran Eshraghian
Jason K. Eshraghian – Kamran Eshraghian – Jason Eshraghian
Person information
- affiliation: University of California at Santa Cruz, Department of Electrical and Computer Engineering, Santa Cruz, CA, US
- affiliation (former): University of Michigan, Department of Electrical Engineering and Computer Science, Ann Arbor, MI, US
- affiliation (former): University of Western Australia, Perth, WA, Australia
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2020 – today
- 2024
- [j54]Rui-Jie Zhu, Skye Gunasekaran, Jason Eshraghian
:
Bridging the gap between artificial intelligence and natural intelligence. Nat. Comput. Sci. 4(8): 559-560 (2024) - [j53]Pao-Sheng Vincent Sun, Alexander Titterton, Anjlee Gopiani, Tim Santos, Arindam Basu
, Wei D. Lu
, Jason K. Eshraghian:
Exploiting deep learning accelerators for neuromorphic workloads. Neuromorph. Comput. Eng. 4(1): 14004 (2024) - [j52]Ben Walters
, Hamid Rahimian Kalatehbali, Zhengyu Cai, Roman Genov, Amirali Amirsoleimani, Jason Eshraghian
, Mostafa Rahimi Azghadi
:
Efficient sparse spiking auto-encoder for reconstruction, denoising and classification. Neuromorph. Comput. Eng. 4(3): 34005 (2024) - [j51]Samuel Schmidgall, Carl Harris, Ime Essien, Daniel Olshvang, Tawsifur Rahman, Ji Woong Kim, Rojin Ziaei, Jason Eshraghian, Peter Abadir, Rama Chellappa:
Evaluation and mitigation of cognitive biases in medical language models. npj Digit. Medicine 7(1) (2024) - [j50]Ziyu Wang
, Fan-Hsuan Meng, Yongmo Park
, Jason K. Eshraghian
, Wei D. Lu
:
Side-Channel Attack Analysis on In-Memory Computing Architectures. IEEE Trans. Emerg. Top. Comput. 12(1): 109-121 (2024) - [j49]Rui-Jie Zhu, Qihang Zhao, Guoqi Li, Jason Eshraghian:
SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - [c90]Jason K. Eshraghian, Rui-Jie Zhu:
What do Transformers have to learn from Biological Spiking Neural Networks? CASES 2024: 15-16 - [c89]Skye Gunasekaran, Jason Eshraghian, Ruomin Zhu, Zdenka Kuncic:
Knowledge Distillation Through Time For Future Event Prediction. Tiny Papers @ ICLR 2024 - [c88]Samuel Schmidgall, Axel Krieger, Jason Eshraghian:
Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots. ICRA 2024: 13354-13361 - [c87]Ben Walters, Zhengyu Cai, Hamid Rahimian Kalatehbali, Amirali Amirsoleimani, Roman Genov, Jason Eshraghian, Mostafa Rahimi Azghadi:
Spiking Auto-Encoder Using Error Modulated Spike Timing Dependant Plasticity. ISCAS 2024: 1-5 - [c86]Ruhai Lin, Rui-Jie Zhu, Jason K. Eshraghian:
Reducing Data Bottlenecks in Distributed, Heterogeneous Neural Networks. MCSoC 2024: 502-508 - [c85]Sreyes Venkatesh, Razvan Marinescu, Jason K. Eshraghian:
SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks. NICE 2024: 1-10 - [i39]Samuel Schmidgall, Carl Harris, Ime Essien, Daniel Olshvang, Tawsifur Rahman, Ji Woong Kim, Rojin Ziaei, Jason Eshraghian
, Peter Abadir, Rama Chellappa:
Addressing cognitive bias in medical language models. CoRR abs/2402.08113 (2024) - [i38]Sreyes Venkatesh, Razvan Marinescu
, Jason K. Eshraghian:
SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks. CoRR abs/2404.19668 (2024) - [i37]Yimeng Shan, Malu Zhang, Rui-Jie Zhu, Xuerui Qiu, Jason K. Eshraghian, Haicheng Qu:
Advancing Spiking Neural Networks towards Multiscale Spatiotemporal Interaction Learning. CoRR abs/2405.13672 (2024) - [i36]Rui-Jie Zhu, Ziqing Wang, Leilani Gilpin, Jason K. Eshraghian:
Autonomous Driving with Spiking Neural Networks. CoRR abs/2405.19687 (2024) - [i35]Rui-Jie Zhu, Yu Zhang, Ethan Sifferman, Tyler Sheaves, Yiqiao Wang, Dustin Richmond, Peng Zhou, Jason K. Eshraghian:
Scalable MatMul-free Language Modeling. CoRR abs/2406.02528 (2024) - [i34]Zihao Chen, Zhili Xiao, Mahmoud Akl, Johannes Leugering, Omowuyi Olajide, Adil Malik, Nik Dennler, Chad Harper, Subhankar Bose, Hector A. Gonzalez, Jason Eshraghian, Riccardo Pignari, Gianvito Urgese, Andreas G. Andreou, Sadasivan Shankar, Christian Mayr, Gert Cauwenberghs, Shantanu Chakrabartty:
ON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers. CoRR abs/2406.05224 (2024) - [i33]Ruhai Lin, Rui-Jie Zhu, Jason K. Eshraghian:
Reducing Data Bottlenecks in Distributed, Heterogeneous Neural Networks. CoRR abs/2410.09650 (2024) - [i32]Skye Gunasekaran, Assel Kembay, Hugo J. Ladret, Rui-Jie Zhu, Laurent Perrinet, Omid Kavehei, Jason Eshraghian:
Future-Guided Learning: A Predictive Approach To Enhance Time-Series Forecasting. CoRR abs/2410.15217 (2024) - 2023
- [j48]Ziyu Wang, Yuting Wu, Yongmo Park, Sangmin Yoo, Xinxin Wang, Jason K. Eshraghian
, Wei D. Lu
:
PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators. Adv. Intell. Syst. 5(12) (2023) - [j47]Ya Li
, Jing-Hao Luo, Qing-Yun Dai, Jason K. Eshraghian
, Bingo Wing-Kuen Ling, Ciyan Zheng, Xiao-Li Wang
:
A deep learning approach to cardiovascular disease classification using empirical mode decomposition for ECG feature extraction. Biomed. Signal Process. Control. 79(Part): 104188 (2023) - [j46]Juan Lu
, Jonathon Stewart
, Mohammed Bennamoun
, Adrian Goudie
, Jason Eshraghian
, Abdul Ihdayhid
, Frank M. Sanfilippo
, Gary R. Small, Benjamin J. W. Chow, Girish Dwivedi
:
Deep learning model to predict exercise stress test results: Optimizing the diagnostic test selection strategy and reduce wastage in suspected coronary artery disease patients. Comput. Methods Programs Biomed. 240: 107717 (2023) - [j45]Jason K. Eshraghian
, Arindam Basu
, Corey Lammie, Shih-Chii Liu, Priyadarshini Panda:
Guest Editorial Dynamical Neuro-AI Learning Systems: Devices, Circuits, Architecture and Algorithms. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 873-876 (2023) - [j44]Fabrizio Ottati
, Chang Gao
, Qinyu Chen
, Giovanni Brignone
, Mario R. Casu
, Jason K. Eshraghian
, Luciano Lavagno
:
To Spike or Not to Spike: A Digital Hardware Perspective on Deep Learning Acceleration. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 1015-1025 (2023) - [j43]Xiao-Jing Li, Xiaoyuan Wang
, Pu Li, Herbert H. C. Iu, Jason K. Eshraghian
, Sanjoy Kumar Nandi, Shimul Kanti Nath
, Robert Glen Elliman
:
Tri-State Memristors Based on Composable Discrete Devices. Int. J. Bifurc. Chaos 33(7): 2330018:1-2330018:18 (2023) - [j42]Sami Barchid
, José Mennesson, Jason Eshraghian
, Chaabane Djeraba
, Mohammed Bennamoun
:
Spiking neural networks for frame-based and event-based single object localization. Neurocomputing 559: 126805 (2023) - [j41]Yikai Yang, Jason K. Eshraghian
, Nhan Duy Truong, Armin Nikpour, Omid Kavehei
:
Neuromorphic deep spiking neural networks for seizure detection. Neuromorph. Comput. Eng. 3(1): 14010 (2023) - [j40]Ziyao Zhang
, Zhangyu Xu, Helen M. McGuire, Chip Essam
, Andrew P. Nicholson, Tara J. Hamilton
, Jiayin Li, Jason K. Eshraghian
, Ken-Tye Yong, Daniele Vigolo
, Omid Kavehei
:
Neuromorphic cytometry: implementation on cell counting and size estimation. Neuromorph. Comput. Eng. 3(4): 44005 (2023) - [j39]Jason K. Eshraghian
, Max Ward
, Emre O. Neftci
, Xinxin Wang
, Gregor Lenz
, Girish Dwivedi
, Mohammed Bennamoun
, Doo Seok Jeong
, Wei D. Lu
:
Training Spiking Neural Networks Using Lessons From Deep Learning. Proc. IEEE 111(9): 1016-1054 (2023) - [c84]Ahmet Samil Demirkol, Alon Ascoli, Ronald Tetzlaff, Jason K. Eshraghian
, Sung Mo Kang:
A Qualitative Approach for the Design of a Locally Active Memristor Based Neuron Circuit. ICECS 2023: 1-4 - [c83]Ruomin Zhu
, Jason Eshraghian
, Zdenka Kuncic
:
Memristive Reservoirs Learn to Learn. ICONS 2023: 31:1-31:7 - [c82]Yinsong Chen
, Samson S. Yu, Jason K. Eshraghian, Chee Peng Lim:
Multi-Objective Spiking Neural Network for Optimal Wind Power Prediction Interval. ISCAS 2023: 1-5 - [c81]Farhad Modaresi, Matthew Guthaus, Jason K. Eshraghian
:
OpenSpike: An OpenRAM SNN Accelerator. ISCAS 2023: 1-5 - [c80]Tim Zhang, Amirali Amirsoleimani, Jason K. Eshraghian, Mostafa Rahimi Azghadi, Roman Genov, Yu Xia
:
SSCAE: A Neuromorphic SNN Autoencoder for sc-RNA-seq Dimensionality Reduction. ISCAS 2023: 1-5 - [c79]Peng Zhou, Dong-Uk Choi, Sung-Mo Kang, Jason K. Eshraghian:
Backpropagating Errors Through Memristive Spiking Neural Networks. ISCAS 2023: 1-5 - [e1]Ronald Tetzlaff, Fernando Corinto, Neil Kemp, Alon Ascoli, Andreas Mögel, Meng-Fan Marvin Chang, Joseph S. Friedman, Siting Liu, John Paul Strachan, Stephan Menzel, Mehdi B. Tahoori, Martin Ziegler, Jason Eshraghian, Ioannis Messaris, Christian Koitzsch, Thomas Mikolajick, Vasileios G. Ntinas:
Proceedings of the 18th ACM International Symposium on Nanoscale Architectures, NANOARCH 2023, Dresden, Germany, December 18-20, 2023. ACM 2023 [contents] - [d3]Steven Abreu
, Felix Christian Bauer
, Jason Eshraghian
, Matthias Jobst
, Gregor Lenz
, Jens Egholm Pedersen
, Sadique Sheik
:
Neuromorphic Intermediate Representation. Zenodo, 2023 - [d2]Steven Abreu
, Felix Christian Bauer
, Jason Eshraghian
, Matthias Jobst
, Gregor Lenz
, Jens Egholm Pedersen
, Sadique Sheik
:
Neuromorphic Intermediate Representation. Zenodo, 2023 - [i31]Farhad Modaresi
, Matthew Guthaus, Jason K. Eshraghian
:
OpenSpike: An OpenRAM SNN Accelerator. CoRR abs/2302.01015 (2023) - [i30]Rui-Jie Zhu, Qihang Zhao, Jason K. Eshraghian:
SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks. CoRR abs/2302.13939 (2023) - [i29]Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs
, Federico Corradi
, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram
, Mike Davies, Yigit Demirag, Jason Eshraghian
, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici
, Christoph Posch
, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis
, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann
, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst
, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi:
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023) - [i28]Ziyu Wang, Yuting Wu, Yongmo Park, Sangmin Yoo, Xinxin Wang, Jason K. Eshraghian, Wei D. Lu
:
PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators. CoRR abs/2304.11056 (2023) - [i27]Samuel Schmidgall, Jascha Achterberg, Thomas Miconi, Louis Kirsch, Rojin Ziaei, S. Pardis Hajiseyedrazi, Jason Eshraghian:
Brain-inspired learning in artificial neural networks: a review. CoRR abs/2305.11252 (2023) - [i26]Ruomin Zhu, Jason K. Eshraghian, Zdenka Kuncic:
Memristive Reservoirs Learn to Learn. CoRR abs/2306.12676 (2023) - [i25]Fabrizio Ottati, Chang Gao, Qinyu Chen
, Giovanni Brignone, Mario R. Casu, Jason K. Eshraghian
, Luciano Lavagno:
To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration. CoRR abs/2306.15749 (2023) - [i24]Luis Fernando Herbozo Contreras, Nhan Duy Truong, Jason K. Eshraghian, Zhangyu Xu, Zhaojing Huang, Armin Nikpour, Omid Kavehei:
Neuromorphic Neuromodulation: Towards the next generation of on-device AI-revolution in electroceuticals. CoRR abs/2307.12471 (2023) - [i23]Juan Lu, Mohammed Bennamoun, Jonathon Stewart, Jason Kamran Eshraghian
, Yanbin Liu, Benjamin J. W. Chow, Frank M. Sanfilippo, Girish Dwivedi:
Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients. CoRR abs/2309.00330 (2023) - [i22]Samuel Schmidgall, Axel Krieger, Jason Eshraghian
:
Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots. CoRR abs/2310.04676 (2023) - [i21]Jens Egholm Pedersen, Steven Abreu, Matthias Jobst
, Gregor Lenz, Vittorio Fra, Felix Christian Bauer, Dylan R. Muir, Peng Zhou, Bernhard Vogginger, Kade Heckel, Gianvito Urgese, Sadasivan Shankar
, Terrence C. Stewart, Jason K. Eshraghian
, Sadique Sheik:
Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing. CoRR abs/2311.14641 (2023) - 2022
- [j38]Peng Zhou
, Dong-Uk Choi, Wei D. Lu
, Sung-Mo Steve Kang
, Jason Kamran Eshraghian
:
Gradient-Based Neuromorphic Learning on Dynamical RRAM Arrays. IEEE J. Emerg. Sel. Topics Circuits Syst. 12(4): 888-897 (2022) - [j37]Pu Li, Xiaoyuan Wang
, Xue Zhang, Jason Kamran Eshraghian
, Herbert Ho-Ching Lu:
Spice modelling of a tri-state memristor and analysis of its series and parallel characteristics. IET Circuits Devices Syst. 16(1): 81-91 (2022) - [j36]Ciyan Zheng, Long Peng, Jason K. Eshraghian
, Xiao-Li Wang
, Jian Cen, Herbert Ho-Ching Iu:
Spiking Neuron Implementation Using a Novel Floating Memcapacitor Emulator. Int. J. Bifurc. Chaos 32(15): 2250224:1-2250224:17 (2022) - [j35]Xiaoyuan Wang
, Chuan-Tao Dong, Pengfei Zhou, Sanjoy Kumar Nandi
, Shimul Kanti Nath
, Robert Glen Elliman
, Herbert Ho-Ching Iu
, Sung-Mo Steve Kang, Jason Kamran Eshraghian
:
Low-Variance Memristor-Based Multi-Level Ternary Combinational Logic. IEEE Trans. Circuits Syst. I Regul. Pap. 69(6): 2423-2434 (2022) - [j34]Xiaoyuan Wang
, Zhiru Wu, Pengfei Zhou, Herbert Ho-Ching Iu
, Sung-Mo Steve Kang, Jason Kamran Eshraghian
:
FPGA Synthesis of Ternary Memristor-CMOS Decoders for Active Matrix Microdisplays. IEEE Trans. Circuits Syst. I Regul. Pap. 69(9): 3501-3511 (2022) - [j33]Mohammed E. Elbtity
, Peyton Chandarana
, Brendan Reidy, Jason Kamran Eshraghian
, Ramtin Zand
:
APTPU: Approximate Computing Based Tensor Processing Unit. IEEE Trans. Circuits Syst. I Regul. Pap. 69(12): 5135-5146 (2022) - [j32]Yikai Yang
, Nhan Duy Truong
, Jason Kamran Eshraghian
, Christina Maher
, Armin Nikpour, Omid Kavehei
:
A Multimodal AI System for Out-of-Distribution Generalization of Seizure Identification. IEEE J. Biomed. Health Informatics 26(7): 3529-3538 (2022) - [c78]Jason Kamran Eshraghian
, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu
:
Navigating Local Minima in Quantized Spiking Neural Networks. AICAS 2022: 352-355 - [c77]Ziyao Zhang
, Maria Sabrina Ma, Jason Kamran Eshraghian
, Daniele Vigolo, Ken-Tye Yong, Omid Kavehei:
Work in Progress: Neuromorphic Cytometry, High-throughput Event-based flow Flow-Imaging. EBCCSP 2022: 1-5 - [c76]Peng Zhou
, Dong-Uk Choi, Jason Kamran Eshraghian, Sung-Mo Kang:
A Fully Memristive Spiking Neural Network with Unsupervised Learning. ISCAS 2022: 634-638 - [c75]Corey Lammie, Jason Kamran Eshraghian
, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu
, Mostafa Rahimi Azghadi:
Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. ISCAS 2022: 1107-1111 - [d1]Yikai Yang, Nhan Duy Truong, Jason Kamran Eshraghian, Christina Maher, Armin Nikpour, Omid Kavehei:
Supplementary material: A multimodal AI system for out-of-distribution generalization of seizure identification. IEEE DataPort, 2022 - [i20]Corey Lammie, Jason Kamran Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi:
Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. CoRR abs/2201.06703 (2022) - [i19]Jason Kamran Eshraghian, Wei D. Lu:
The fine line between dead neurons and sparsity in binarized spiking neural networks. CoRR abs/2201.11915 (2022) - [i18]Jason Kamran Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu:
Navigating Local Minima in Quantized Spiking Neural Networks. CoRR abs/2202.07221 (2022) - [i17]Peng Zhou, Donguk Choi, Jason Kamran Eshraghian
, Sung-Mo Kang:
A Fully Memristive Spiking Neural Network with Unsupervised Learning. CoRR abs/2203.01416 (2022) - [i16]Peng Zhou, Jason Kamran Eshraghian
, Dong-Uk Choi, Sung-Mo Kang:
SPICEprop: Backpropagating Errors Through Memristive Spiking Neural Networks. CoRR abs/2203.01426 (2022) - [i15]Sami Barchid, José Mennesson, Jason Eshraghian
, Chaabane Djeraba, Mohammed Bennamoun:
Spiking Neural Networks for Frame-based and Event-based Single Object Localization. CoRR abs/2206.06506 (2022) - [i14]Peng Zhou, Jason Kamran Eshraghian
, Dong-Uk Choi, Wei D. Lu, Sung-Mo Kang:
Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays. CoRR abs/2206.12992 (2022) - [i13]Ziyu Wang
, Fan-Hsuan Meng, Yongmo Park, Jason Kamran Eshraghian
, Wei D. Lu
:
Side-channel attack analysis on in-memory computing architectures. CoRR abs/2209.02792 (2022) - [i12]Alexander Henkes, Jason K. Eshraghian
, Henning Wessels:
Spiking neural networks for nonlinear regression. CoRR abs/2210.03515 (2022) - [i11]Pao-Sheng Vincent Sun, Alexander Titterton, Anjlee Gopiani, Tim Santos, Arindam Basu, Wei D. Lu
, Jason Kamran Eshraghian
:
Intelligence Processing Units Accelerate Neuromorphic Learning. CoRR abs/2211.10725 (2022) - 2021
- [j31]Seungbum Baek
, Guk-Hyeon Yu
, Jaewoo Kim
, Chi Trung Ngo
, Jason Kamran Eshraghian
, Jong-Phil Hong
:
A Reconfigurable SRAM Based CMOS PUF With Challenge to Response Pairs. IEEE Access 9: 79947-79960 (2021) - [j30]Xiaoyuan Wang, Chenxi Jin, Jason Kamran Eshraghian
, Herbert Ho-Ching Iu, Congying Ha
:
A Behavioral SPICE Model of a Binarized Memristor for Digital Logic Implementation. Circuits Syst. Signal Process. 40(6): 2682-2693 (2021) - [j29]Anna Jobin, Kingson Man, Antonio Damasio, Georgios Kaissis, Rickmer Braren, Julia Stoyanovich, Jay J. Van Bavel, Tessa V. West, Brent D. Mittelstadt, Jason Eshraghian
, Marta R. Costa-jussà, Asaf Tzachor, Aimun A. B. Jamjoom, Mariarosaria Taddeo, Edoardo Sinibaldi, Yipeng Hu, Miguel A. Luengo-Oroz
:
AI reflections in 2020. Nat. Mach. Intell. 3(1): 2-8 (2021) - [j28]Seongwon You, Jason Kamran Eshraghian
, Herbert H. C. Iu, Kyoungrok Cho
:
Low-Power Wireless Sensor Network Using Fine-Grain Control of Sensor Module Power Mode. Sensors 21(9): 3198 (2021) - [j27]Xiaoyuan Wang
, Pengfei Zhou, Jason Kamran Eshraghian
, Chih-Yang Lin, Herbert Ho-Ching Iu
, Ting-Chang Chang
, Sung-Mo Steve Kang:
High-Density Memristor-CMOS Ternary Logic Family. IEEE Trans. Circuits Syst. I Regul. Pap. 68(1): 264-274 (2021) - [j26]Sung-Mo Steve Kang, Donguk Choi, Jason Kamran Eshraghian
, Peng Zhou
, Jieun Kim
, Bai-Sun Kong
, Xiaojian Zhu, Ahmet Samil Demirkol
, Alon Ascoli
, Ronald Tetzlaff
, Wei D. Lu
, Leon O. Chua
:
How to Build a Memristive Integrate-and-Fire Model for Spiking Neuronal Signal Generation. IEEE Trans. Circuits Syst. I Regul. Pap. 68(12): 4837-4850 (2021) - [j25]Corey Lammie
, Jason Kamran Eshraghian
, Wei D. Lu
, Mostafa Rahimi Azghadi
:
Memristive Stochastic Computing for Deep Learning Parameter Optimization. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1650-1654 (2021) - [c74]Coen Arrow
, Hancong Wu, Seungbum Baek, Herbert H. C. Iu, Kianoush Nazarpour, Jason Kamran Eshraghian
:
Prosthesis Control Using Spike Rate Coding in the Retina Photoreceptor Cells. ISCAS 2021: 1-5 - [c73]Jason Kamran Eshraghian, Kyoungrok Cho, Sung Mo Kang:
A 3-D Reconfigurable RRAM Crossbar Inference Engine. ISCAS 2021: 1-5 - [c72]Dennis E. Robey, Wesley Thio, Herbert H. C. Iu, Jason Kamran Eshraghian
:
Naturalizing Neuromorphic Vision Event Streams Using Generative Adversarial Networks. ISCAS 2021: 1-5 - [i10]Jason Kamran Eshraghian, Kyoungrok Cho, Sung Mo Kang:
CrossStack: A 3-D Reconfigurable RRAM Crossbar Inference Engine. CoRR abs/2102.06536 (2021) - [i9]Dennis Robey, Wesley Thio, Herbert H. C. Iu, Jason Kamran Eshraghian:
Naturalizing Neuromorphic Vision Event Streams Using GANs. CoRR abs/2102.07243 (2021) - [i8]Corey Lammie, Jason Kamran Eshraghian, Wei D. Lu, Mostafa Rahimi Azghadi:
Memristive Stochastic Computing for Deep Learning Parameter Optimization. CoRR abs/2103.06506 (2021) - [i7]Xiaoyuan Wang, Zhiru Wu, Pengfei Zhou, Herbert H. C. Iu, Jason Kamran Eshraghian, Sung Mo Kang:
FPGA Synthesis of Ternary Memristor-CMOS Decoders. CoRR abs/2104.10297 (2021) - [i6]Jason Kamran Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu:
Training Spiking Neural Networks Using Lessons From Deep Learning. CoRR abs/2109.12894 (2021) - 2020
- [j24]Mostafa Rahimi Azghadi
, Ying-Chen Chen, Jason Kamran Eshraghian, Jia Chen, Chih-Yang Lin, Amirali Amirsoleimani, Adnan Mehonic, Anthony J. Kenyon
, Burt Fowler, Jack C. Lee, Yao-Feng Chang:
Complementary Metal-Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing. Adv. Intell. Syst. 2(5): 1900189 (2020) - [j23]Mostafa Rahimi Azghadi
, Ying-Chen Chen, Jason Kamran Eshraghian, Jia Chen, Chih-Yang Lin, Amirali Amirsoleimani, Adnan Mehonic, Anthony J. Kenyon, Burt Fowler, Jack C. Lee, Yao-Feng Chang:
Complementary Metal-Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing. Adv. Intell. Syst. 2(5): 2070050 (2020) - [j22]Jason Kamran Eshraghian
, Seungbum Baek, Timothée Levi
, Takashi Kohno, Said F. Al-Sarawi, Philip H. W. Leong
, Kyoung-Rok Cho, Derek Abbott, Omid Kavehei
:
Nonlinear retinal response modeling for future neuromorphic instrumentation. IEEE Instrum. Meas. Mag. 23(1): 21-29 (2020) - [j21]Jason Kamran Eshraghian
:
Human ownership of artificial creativity. Nat. Mach. Intell. 2(3): 157-160 (2020) - [j20]Mostafa Rahimi Azghadi
, Corey Lammie
, Jason Kamran Eshraghian
, Melika Payvand
, Elisa Donati
, Bernabé Linares-Barranco
, Giacomo Indiveri
:
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications. IEEE Trans. Biomed. Circuits Syst. 14(6): 1138-1159 (2020) - [j19]Jason Kamran Eshraghian
, Qi Lin
, Xiaoyuan Wang
, Herbert H. C. Iu
, Qing Hu
, Hao Tong
:
A Behavioral Model of Digital Resistive Switching for Systems Level DNN Acceleration. IEEE Trans. Circuits Syst. II Express Briefs 67-II(5): 956-960 (2020) - [c71]Seungbum Baek, Jason Kamran Eshraghian
, Wesley Thio, Yulia Sandamirskaya, Herbert H. C. Iu, Wei D. Lu
:
A Real-Time Retinomorphic Simulator Using a Conductance-Based Discrete Neuronal Network. AICAS 2020: 79-83 - [c70]Seungbum Baek, Jason Kamran Eshraghian
, Wesley Thio, Yulia Sandamirskaya, Herbert H. C. Iu, Wei D. Lu
:
Live Demonstration: Video-to-Spike Conversion Using a Real-Time Retina Cell Network Simulator. AICAS 2020: 131 - [c69]Coen Arrow
, Jason Kamran Eshraghian
, Hancong Wu, Seungbum Baek, Herbert H. C. Iu, Kianoush Nazarpour:
Live Demonstration: Prosthesis Control Using a Real-Time Retina Cell Network Simulator. ICECS 2020: 1-2 - [c68]Jason Eshraghian, Corey Lammie
, Mostafa Rahimi Azghadi:
Biologically Plausible Contrast Detection using a Memristor Array. ISCAS 2020: 1-5 - [c67]Andrew R. Henson, Tim Fiori, Ahmud Auleear, Iain C. McIntyre, Jason Eshraghian:
A Transcranial Alternating Current Stimulator for Neural Entrainment. ISCAS 2020: 1-5 - [i5]Mostafa Rahimi Azghadi, Corey Lammie
, Jason Kamran Eshraghian, Melika Payvand, Elisa Donati, Bernabé Linares-Barranco, Giacomo Indiveri:
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications. CoRR abs/2007.05657 (2020)
2010 – 2019
- 2019
- [j18]Ciyan Zheng
, Dongsheng Yu
, Herbert Ho-Ching Iu
, Tyrone Fernando
, Tingting Sun, Jason Kamran Eshraghian
, Hengdao Guo:
A Novel Universal Interface for Constructing Memory Elements for Circuit Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(12): 4793-4806 (2019) - [c66]Jason Kamran Eshraghian
, Sung-Mo Kang, Seungbum Baek, Garrick Orchard, Herbert Ho-Ching Iu, Wen Lei:
Analog Weights in ReRAM DNN Accelerators. AICAS 2019: 267-271 - [c65]Ciyan Zheng, Jason Kamran Eshraghian
, Alex James
, Herbert Ho-Ching Iu:
Chaotic Oscillator Using Coupled Memristive Pairs. ICECS 2019: 462-465 - [c64]Seungbum Baek, Jason Kamran Eshraghian
, Sang-Hyun Ahn, Alex James
, Kyoung-Rok Cho:
A Memristor-CMOS Braun Multiplier Array for Arithmetic Pipelining. ICECS 2019: 735-738 - [p1]Omid Kavehei, Efstratios Skafidas, Kamran Eshraghian:
Memristive In Situ Computing. Handbook of Memristor Networks 2019: 1005-1020 - [i4]Jaeheum Lee, Jason Kamran Eshraghian, Kyoung-Rok Cho, Kamran Eshraghian:
Adaptive Precision CNN Accelerator Using Radix-X Parallel Connected Memristor Crossbars. CoRR abs/1906.09395 (2019) - [i3]