Nicholas Soures

According to our database, Nicholas Soures authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Probabilistic Metaplasticity for Continual Learning with Memristors.

Fatima Tuz Zohora, Vedant Karia, Nicholas Soures, Dhireesha Kudithipudi

CoRR, 2024

Continual Learning and Catastrophic Forgetting.

Gido M. van de Ven, Nicholas Soures, Dhireesha Kudithipudi

CoRR, 2024

2023

Design Principles for Lifelong Learning AI Accelerators.

Dhireesha Kudithipudi, Anurag Reddy Daram, Abdullah M. Zyarah, Fatima Tuz Zohora, James B. Aimone, Angel Yanguas-Gil, Nicholas Soures, Emre Neftci, Matthew Mattina, Vincenzo Lomonaco, Clare D. Thiem, Benjamin R. Epstein

CoRR, 2023

2022

Biological underpinnings for lifelong learning machines.

Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh C. Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Reddy Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann

Nat. Mach. Intell., 2022

SCOLAR: A Spiking Digital Accelerator with Dual Fixed Point for Continual Learning.

Vedant Karia, Fatima Tuz Zohora, Nicholas Soures, Dhireesha Kudithipudi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2020

Metaplasticity in Multistate Memristor Synaptic Networks.

Fatima Tuz Zohora, Abdullah M. Zyarah, Nicholas Soures, Dhireesha Kudithipudi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

Spiking Reservoir Networks: Brain-inspired recurrent algorithms that use random, fixed synaptic strengths.

Nicholas Soures, Dhireesha Kudithipudi

IEEE Signal Process. Mag., 2019

2018

On-Device Learning in Memristor Spiking Neural Networks.

Abdullah M. Zyarah, Nicholas Soures, Dhireesha Kudithipudi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017

Reservoir Computing in Embedded Systems: Three variants of the reservoir algorithm.

Nicholas Soures, Corey Merkel, Dhireesha Kudithipudi, Clare Thiem, Nathan R. McDonald

IEEE Consumer Electron. Mag., 2017

On-device STDP and synaptic normalization for neuromemristive spiking neural network.

Nicholas Soures, Lydia Hays, Eric Bohannon, Abdullah M. Zyarah, Dhireesha Kudithipudi

Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

Ziksa: On-chip learning accelerator with memristor crossbars for multilevel neural networks.

Abdullah M. Zyarah, Nicholas Soures, Lydia Hays, Robin Jacobs-Gedrim, Sapan Agarwal, Matthew J. Marinella, Dhireesha Kudithipudi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Robustness of a memristor based liquid state machine.

Nicholas Soures, Lydia Hays, Dhireesha Kudithipudi

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing.

Cory E. Merkel, Raqibul Hasan, Nicholas Soures, Dhireesha Kudithipudi, Tarek M. Taha, Sapan Agarwal, Matthew J. Marinella

Computer, 2016

Digital neuromorphic design of a Liquid State Machine for real-time processing.

Anvesh Polepalli, Nicholas Soures, Dhireesha Kudithipudi

Proceedings of the IEEE International Conference on Rebooting Computing, 2016