Nicholas Soures

19 papers B 1C 4Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Temporal Chunking Enhances Recognition of Implicit Sequential Patterns.
CoRR
Jayanta Dey, Nicholas Soures, Miranda Gonzales, Itamar Lerner, Christopher Kanan, Dhireesha Kudithipudi
2024 — conf
Advancing Neuro-Inspired Lifelong Learning for Edge with Co-Design.
AAAI Spring Symposia
Nicholas Soures, Vedant Karia, Dhireesha Kudithipudi
2024 J jnl
Continual Learning and Catastrophic Forgetting.
CoRR
Gido M. van de Ven, Nicholas Soures, Dhireesha Kudithipudi
2024 J jnl
Learning Continually in Silicon.
Computer
Nicholas Soures, Jayanta Dey, Dhireesha Kudithipudi
2024 J jnl
Probabilistic Metaplasticity for Continual Learning with Memristors.
CoRR
Fatima Tuz Zohora, Vedant Karia, Nicholas Soures, Dhireesha Kudithipudi
2024 J jnl
TACOS: Task Agnostic Continual Learning in Spiking Neural Networks.
CoRR
Nicholas Soures, Peter Helfer, Anurag Reddy Daram, Tej Pandit, Dhireesha Kudithipudi
2023 J jnl
Design Principles for Lifelong Learning AI Accelerators.
CoRR
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
2022 J jnl
Biological underpinnings for lifelong learning machines.
Nat. Mach. Intell.
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
2022 C conf
SCOLAR: A Spiking Digital Accelerator with Dual Fixed Point for Continual Learning.
ISCAS
Vedant Karia, Fatima Tuz Zohora, Nicholas Soures, Dhireesha Kudithipudi
2020 C conf
Metaplasticity in Multistate Memristor Synaptic Networks.
ISCAS
Fatima Tuz Zohora, Abdullah M. Zyarah, Nicholas Soures, Dhireesha Kudithipudi
2020 J jnl
Metaplasticity in Multistate Memristor Synaptic Networks.
CoRR
Fatima Tuz Zohora, Abdullah M. Zyarah, Nicholas Soures, Dhireesha Kudithipudi
2019 J jnl
Spiking Reservoir Networks: Brain-inspired recurrent algorithms that use random, fixed synaptic strengths.
IEEE Signal Process. Mag.
Nicholas Soures, Dhireesha Kudithipudi
2018 C conf
On-Device Learning in Memristor Spiking Neural Networks.
ISCAS
Abdullah M. Zyarah, Nicholas Soures, Dhireesha Kudithipudi
2017 — conf
On-device STDP and synaptic normalization for neuromemristive spiking neural network.
MWSCAS
Nicholas Soures, Lydia Hays, Eric Bohannon, Abdullah M. Zyarah, Dhireesha Kudithipudi
2017 J jnl
Reservoir Computing in Embedded Systems: Three variants of the reservoir algorithm.
IEEE Consumer Electron. Mag.
Nicholas Soures, Corey Merkel, Dhireesha Kudithipudi, Clare Thiem, Nathan R. McDonald
2017 B conf
Robustness of a memristor based liquid state machine.
IJCNN
Nicholas Soures, Lydia Hays, Dhireesha Kudithipudi
2017 C conf
Ziksa: On-chip learning accelerator with memristor crossbars for multilevel neural networks.
ISCAS
Abdullah M. Zyarah, Nicholas Soures, Lydia Hays, Robin Jacobs-Gedrim, Sapan Agarwal, Matthew J. Marinella, Dhireesha Kudithipudi
2016 — conf
Digital neuromorphic design of a Liquid State Machine for real-time processing.
ICRC
Anvesh Polepalli, Nicholas Soures, Dhireesha Kudithipudi
2016 J jnl
Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing.
Computer
Cory E. Merkel, Raqibul Hasan, Nicholas Soures, Dhireesha Kudithipudi, Tarek M. Taha, Sapan Agarwal, Matthew J. Marinella