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Publication search results
found 43 matches
- 2023
- Hitesh Ahuja, Rajkumar Kubendran:
High-resolution Extreme-throughput Event-based Cameras using GALS Data-scanning Architecture. ICONS 2023: 12:1-12:6 - Shelah Ameli, Adam Z. Foshie, Drew Friend, James S. Plank, Garrett S. Rose, Catherine D. Schuman:
Algorithm and Application Impacts of Programmable Plasticity in Spiking Neuromorphic Hardware. ICONS 2023: 39:1-39:6 - Juan Pablo Romero Bermudez, Luis A. Plana, Andrew Rowley, Mikael Hessel, Jens Egholm Pedersen, Steve B. Furber, Jörg Conradt:
A High-Throughput Low-Latency Interface Board for SpiNNaker-in-the-loop Real-Time Systems. ICONS 2023: 28:1-28:8 - James A. Boyle, Mark Plagge, Suma George Cardwell, Frances S. Chance, Andreas Gerstlauer:
Performance and Energy Simulation of Spiking Neuromorphic Architectures for Fast Exploration. ICONS 2023: 19:1-19:4 - Suma George Cardwell, Frances S. Chance:
Dendritic Computation for Neuromorphic Applications. ICONS 2023: 35:1-35:5 - Douglas Cale Crowder, John Darby Smith, Suma George Cardwell:
Deep Reinforcement Learning Methods for Discovering Novel Neuromorphic Devices. ICONS 2023: 37:1-37:8 - Prasanna Date, Chathika Gunaratne, Shruti R. Kulkarni, Robert M. Patton, Mark Coletti, Thomas E. Potok:
SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing. ICONS 2023: 40:1-40:4 - Melvin Estuardo Galicia, Ibrahim Jimale Osman, Christian Owusu-Afriyie, Rainer Leupers:
"S3cure": Scramble, Shuffle and Shambles - Secure Deployment of Weight Matrices in Memristor Crossbar Arrays. ICONS 2023: 41:1-41:8 - James Ghawaly, Aaron R. Young, Andrew D. Nicholson, Brett Witherspoon, Nick Prins, Mathew Swinney, Cihangir Celik, Catherine D. Schuman, Karan Patel:
Performance Optimization Study of the Neuromorphic Radiation Anomaly Detector. ICONS 2023: 13:1-13:7 - Anindya Ghosh, Thomas Nowotny, James C. Knight:
Insect-inspired Spatio-temporal Downsampling of Event-based Input. ICONS 2023: 32:1-32:5 - Edoardo W. Grappolini, Anand Subramoney:
Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay training. ICONS 2023: 23:1-23:4 - Peter Helfer, Corinne Teeter, Aaron J. Hill, Craig M. Vineyard, James B. Aimone, Dhireesha Kudithipudi:
Context Modulation Enables Multi-tasking and Resource Efficiency in Liquid State Machines. ICONS 2023: 17:1-17:9 - Kyle Henke, Elijah Pelofske, Georg Hahn, Garrett T. Kenyon:
Sampling binary sparse coding QUBO models using a spiking neuromorphic processor. ICONS 2023: 38:1-38:5 - Shruti R. Kulkarni, Aaron R. Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey S. Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corrinne Mills, Morris Swartz, Petar Maksimovic, Catherine D. Schuman, Alice Bean:
On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. ICONS 2023: 3:1-3:8 - Hongyi Li, Mingkun Xu, Jing Pei, Rong Zhao:
Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips. ICONS 2023: 21:1-21:8 - Jamie Lohoff, Zhenming Yu, Jan Finkbeiner, Anil Kaya, Kenneth Michael Stewart, Hin Wai Lui, Emre Neftci:
Interfacing Neuromorphic Hardware with Machine Learning Frameworks - A Review. ICONS 2023: 16:1-16:8 - Michele Mastella, Hugh Greatorex, Madison Cotteret, Ella Janotte, Willian Soares Girão, Ole Richter, Elisabetta Chicca:
Synaptic Normalisation for On-Chip Learning in Analog CMOS Spiking Neural Networks. ICONS 2023: 34:1-34:4 - Zaidao Mei, Boyu Wang, Daniel Patrick Rider, Qinru Qiu:
SEnsitivity Modulated Importance Networking and Rehearsal for Spike Domain Incremental Learning. ICONS 2023: 18:1-18:8 - Raphael Norman-Tenazas, Isaac Western, Gautam K. Vallabha, Matthew J. Roos, Erik C. Johnson, Brian S. Robinson:
Enabling local learning for generative-replay-based continual learning with a recurrent model of the insect memory center. ICONS 2023: 25:1-25:7 - Ryan O'Loughlin, Bryce A. Primavera, Jeffrey Shainline:
Dendritic Learning in Superconducting Optoelectronic Networks. ICONS 2023: 4:1-4:8 - Wilkie Olin-Ammentorp:
Sparsifying Spiking Networks through Local Rhythms. ICONS 2023: 26:1-26:4 - Jeff Orchard, Russell Jarvis:
Hyperdimensional Computing with Spiking-Phasor Neurons. ICONS 2023: 22:1-22:7 - Gintautas Palinauskas, Camilo Amaya, Evan Eames, Michael Neumeier, Axel von Arnim:
Generating Event-Based Datasets for Robotic Applications using MuJoCo-ESIM. ICONS 2023: 11:1-11:7 - Gavin Parpart, Sumedh R. Risbud, Garrett T. Kenyon, Yijing Watkins:
Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor. ICONS 2023: 15:1-15:6 - Melika Payvand, Simone D'Agostino, Filippo Moro, Yigit Demirag, Giacomo Indiveri, Elisa Vianello:
Dendritic Computation through Exploiting Resistive Memory as both Delays and Weights. ICONS 2023: 27:1-27:4 - Ole Richter, Hugh Greatorex, Benjamin Hucko, Madison Cotteret, Willian Soares Girão, Ella Janotte, Michele Mastella, Elisabetta Chicca:
A Subthreshold Second-Order Integration Circuit for Versatile Synaptic Alpha Kernel and Trace Generation. ICONS 2023: 33:1-33:4 - Charles Rizzo, Luke Mccombs, Braxton Haynie, Catherine D. Schuman, James S. Plank:
DVSGesture Recognition with Neuromorphic Observation Space Reduction Techniques. ICONS 2023: 10:1-10:8 - Simon Roy, François-Michel De Rainville, Marc-Antoine Drouin, Simon Savary, Terrence C. Stewart:
Event-based stereopsis with wearable stereo vision demonstrator. ICONS 2023: 6:1-6:4 - Samuel Schmidgall, Joe Hays:
Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks. ICONS 2023: 1:1-1:9 - William Severa, Suma George Cardwell, Michael Krygier, Fredrick H. Rothganger, Craig Michael Vineyard:
Neuromorphic Population Evaluation using the Fugu Framework. ICONS 2023: 42:1-42:7
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