ICONS

Publications

2023

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)
Ruomin Zhu, Jason Eshraghian, Zdenka Kuncic
Memristive Reservoirs Learn to Learn. ICONS (2023)
Kyle Henke, Elijah Pelofske, Georg Hahn, Garrett T. Kenyon
Sampling binary sparse coding QUBO models using a spiking neuromorphic processor. ICONS (2023)
Edoardo W. Grappolini, Anand Subramoney
Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay training. ICONS (2023)
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)
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)
James Ghawaly, Aaron 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)
Vijay Shankaran Vivekanand, Samarth Chopra, Shahin Hashemkhani, Rajkumar Chinnakonda Kubendran
Robot Locomotion through Tunable Bursting Rhythms using Efficient Bio-mimetic Neural Networks on Loihi and Arduino Platforms. ICONS (2023)
Zaidao Mei, Boyu Wang, Daniel Patrick Rider, Qinru Qiu
SEnsitivity Modulated Importance Networking and Rehearsal for Spike Domain Incremental Learning. ICONS (2023)
Proceedings of the 2023 International Conference on Neuromorphic Systems, ICONS 2023, Santa Fe, NM, USA, August 1-3, 2023 ICONS (2023)
Lillian Sharpe, Julia Steed, Md Mazharul Islam, Ahmedullah Aziz, Catherine D. Schuman
Impact of Neuron Firing Rate on Application and Algorithm Performance. ICONS (2023)
Jeff Orchard, Russell Jarvis
Hyperdimensional Computing with Spiking-Phasor Neurons. ICONS (2023)
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)
Douglas Cale Crowder, John Darby Smith, Suma George Cardwell
Deep Reinforcement Learning Methods for Discovering Novel Neuromorphic Devices. ICONS (2023)
Simon Roy, François-Michel De Rainville, Marc-Antoine Drouin, Simon Savary, Terrence C. Stewart
Event-based stereopsis with wearable stereo vision demonstrator. ICONS (2023)
Shay Snyder, Kevin Zhu, Ricardo Vega, Cameron Nowzari, Maryam Parsa
Zespol: A Lightweight Environment for Training Swarming Agents. ICONS (2023)
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)
Wilkie Olin-Ammentorp
Sparsifying Spiking Networks through Local Rhythms. ICONS (2023)
Hitesh Ahuja, Rajkumar Kubendran
High-resolution Extreme-throughput Event-based Cameras using GALS Data-scanning Architecture. ICONS (2023)
Mike Stuck, Richard Naud
Burstprop for Learning in Spiking Neuromorphic Hardware. ICONS (2023)
Terrence C. Stewart, Marc-Antoine Drouin, Michel Picard, Frank Billy Djupkep Dizeu, Antony Orth, Guillaume Gagné
Using neuromorphic cameras to track quadcopters. ICONS (2023)
Ryan O'Loughlin, Bryce A. Primavera, Jeffrey Shainline
Dendritic Learning in Superconducting Optoelectronic Networks. ICONS (2023)
Yi Tian, Juan Andrade-Cetto
Egomotion from event-based SNN optical flow. ICONS (2023)
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)
James Boyle, Mark Plagge, Suma George Cardwell, Frances S. Chance, Andreas Gerstlauer
Performance and Energy Simulation of Spiking Neuromorphic Architectures for Fast Exploration. ICONS (2023)
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)
Samuel Schmidgall, Joe Hays
Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks. ICONS (2023)
Suma George Cardwell, Frances S. Chance
Dendritic Computation for Neuromorphic Applications. ICONS (2023)
Hongyi Li, Mingkun Xu, Jing Pei, Rong Zhao
Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips. ICONS (2023)
Anindya Ghosh, Thomas Nowotny, James C. Knight
Insect-inspired Spatio-temporal Downsampling of Event-based Input. ICONS (2023)
Stein Stroobants, Christophe De Wagter, Guido de Croon
Neuromorphic Control using Input-Weighted Threshold Adaptation. ICONS (2023)
Ming-Jay Yang, John Paul Strachan
State-Space Modeling and Tuning of Memristors for Neuromorphic Computing Applications. ICONS (2023)
William Severa, Suma George Cardwell, Michael Krygier, Fredrick H. Rothganger, Craig Michael Vineyard
Neuromorphic Population Evaluation using the Fugu Framework. ICONS (2023)
Jimmy Weber, Chenxi Wu, Melika Payvand
GMap : An Open-source Efficient Compiler for Mapping any Network onto any Neuromophic Chip. ICONS (2023)
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)
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)
Gintautas Palinauskas, Camilo Amaya, Evan Eames, Michael Neumeier, Axel von Arnim
Generating Event-Based Datasets for Robotic Applications using MuJoCo-ESIM. ICONS (2023)
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)
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)
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)
Shay Snyder, Sumedh R. Risbud, Maryam Parsa
Neuromorphic Bayesian Optimization in Lava. ICONS (2023)
Alexander James White, Chou P. Hung, Andre V. Harrison, Chung-Chuan Lo
Neuromorphic luminance-edge contextual preprocessing of naturally obscured targets. ICONS (2023)
Charles Rizzo, Luke Mccombs, Braxton Haynie, Catherine D. Schuman, James S. Plank
DVSGesture Recognition with Neuromorphic Observation Space Reduction Techniques. ICONS (2023)

2022