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ORCIDNicholas Soures
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2020 – today
- 2024
[j5]Nicholas Soures
, Jayanta Dey, Dhireesha Kudithipudi:
Learning Continually in Silicon. Computer 57(10): 160-164 (2024)- [c8]Nicholas Soures, Vedant Karia, Dhireesha Kudithipudi:
Advancing Neuro-Inspired Lifelong Learning for Edge with Co-Design. AAAI Spring Symposia 2024: 317 - [i5]Gido M. van de Ven, Nicholas Soures, Dhireesha Kudithipudi:
Continual Learning and Catastrophic Forgetting. CoRR abs/2403.05175 (2024) - [i4]Fatima Tuz Zohora, Vedant Karia, Nicholas Soures, Dhireesha Kudithipudi:
Probabilistic Metaplasticity for Continual Learning with Memristors. CoRR abs/2403.08718 (2024) - [i3]Nicholas Soures, Peter Helfer, Anurag Reddy Daram, Tej Pandit, Dhireesha Kudithipudi:
TACOS: Task Agnostic Continual Learning in Spiking Neural Networks. CoRR abs/2409.00021 (2024) - 2023
- [i2]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:
Design Principles for Lifelong Learning AI Accelerators. CoRR abs/2310.04467 (2023) - 2022
- [j4]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:
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022) - [c7]Vedant Karia, Fatima Tuz Zohora, Nicholas Soures, Dhireesha Kudithipudi:
SCOLAR: A Spiking Digital Accelerator with Dual Fixed Point for Continual Learning. ISCAS 2022: 1372-1376 - 2020
- [c6]Fatima Tuz Zohora, Abdullah M. Zyarah, Nicholas Soures, Dhireesha Kudithipudi:
Metaplasticity in Multistate Memristor Synaptic Networks. ISCAS 2020: 1-5 - [i1]Fatima Tuz Zohora, Abdullah M. Zyarah, Nicholas Soures, Dhireesha Kudithipudi:
Metaplasticity in Multistate Memristor Synaptic Networks. CoRR abs/2003.11638 (2020)
2010 – 2019
- 2019
- [j3]Nicholas Soures, Dhireesha Kudithipudi:
Spiking Reservoir Networks: Brain-inspired recurrent algorithms that use random, fixed synaptic strengths. IEEE Signal Process. Mag. 36(6): 78-87 (2019) - 2018
- [c5]Abdullah M. Zyarah, Nicholas Soures, Dhireesha Kudithipudi:
On-Device Learning in Memristor Spiking Neural Networks. ISCAS 2018: 1-5 - 2017
- [j2]Nicholas Soures, Corey Merkel, Dhireesha Kudithipudi, Clare Thiem, Nathan R. McDonald:
Reservoir Computing in Embedded Systems: Three variants of the reservoir algorithm. IEEE Consumer Electron. Mag. 6(3): 67-73 (2017) - [c4]Nicholas Soures, Lydia Hays, Dhireesha Kudithipudi:
Robustness of a memristor based liquid state machine. IJCNN 2017: 2414-2420 - [c3]Abdullah M. Zyarah, Nicholas Soures, Lydia Hays, Robin Jacobs-Gedrim, Sapan Agarwal, Matthew J. Marinella, Dhireesha Kudithipudi:
Ziksa: On-chip learning accelerator with memristor crossbars for multilevel neural networks. ISCAS 2017: 1-4 - [c2]Nicholas Soures, Lydia Hays, Eric Bohannon, Abdullah M. Zyarah, Dhireesha Kudithipudi:
On-device STDP and synaptic normalization for neuromemristive spiking neural network. MWSCAS 2017: 1081-1084 - 2016
- [j1]Cory E. Merkel, Raqibul Hasan, Nicholas Soures, Dhireesha Kudithipudi, Tarek M. Taha, Sapan Agarwal, Matthew J. Marinella:
Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing. Computer 49(10): 56-64 (2016) - [c1]Anvesh Polepalli, Nicholas Soures, Dhireesha Kudithipudi:
Digital neuromorphic design of a Liquid State Machine for real-time processing. ICRC 2016: 1-8
Coauthor Index
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