Jason Eshraghian

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Spiking Neural Networks

Biologically Plausible

Top Venues

Nat. Mach. Intell.

Publications

Samuel Schmidgall, Axel Krieger, Jason Eshraghian
Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots. ICRA (2024)
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)
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 (2024)
Skye Gunasekaran, Jason Eshraghian, Ruomin Zhu, Zdenka Kuncic
Knowledge Distillation Through Time For Future Event Prediction. Tiny Papers @ ICLR (2024)
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)
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 (2024)
Sami Barchid, José Mennesson, Jason Eshraghian, Chaabane Djeraba, Mohammed Bennamoun
Spiking neural networks for frame-based and event-based single object localization. Neurocomputing 559 (2023)
Ruomin Zhu, Jason Eshraghian, Zdenka Kuncic
Memristive Reservoirs Learn to Learn. ICONS (2023)
Samuel Schmidgall, Axel Krieger, Jason Eshraghian
Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots. CoRR (2023)
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 (2023)
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 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 (2023)
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 (2023)
Sami Barchid, José Mennesson, Jason Eshraghian, Chaabane Djeraba, Mohammed Bennamoun
Spiking Neural Networks for Frame-based and Event-based Single Object Localization. CoRR (2022)
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) (2021)
Andrew R. Henson, Tim Fiori, Ahmud Auleear, Iain C. McIntyre, Jason Eshraghian
A Transcranial Alternating Current Stimulator for Neural Entrainment. ISCAS (2020)
Jason Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi
Biologically Plausible Contrast Detection using a Memristor Array. ISCAS (2020)