Table of Contents

• SEnsitivity Modulated Importance Networking and Rehearsal for Spike Domain Incremental LearningZaidao Mei, Boyu Wang 0005, Daniel Patrick Rider, Qinru Qiu. [doi]
• Burstprop for Learning in Spiking Neuromorphic HardwareMike Stuck, Richard Naud. [doi]
• "S3cure": Scramble, Shuffle and Shambles - Secure Deployment of Weight Matrices in Memristor Crossbar ArraysMelvin Estuardo Galicia, Ibrahim Jimale Osman, Christian Owusu-Afriyie, Rainer Leupers. [doi]
• SuperNeuro: A Fast and Scalable Simulator for Neuromorphic ComputingPrasanna Date, Chathika Gunaratne, Shruti R. Kulkarni, Robert M. Patton, Mark Coletti, Thomas E. Potok. [doi]
• Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networksSamuel Schmidgall, Joe Hays. [doi]
• Zespol: A Lightweight Environment for Training Swarming AgentsShay Snyder, Kevin Zhu, Ricardo Vega, Cameron Nowzari, Maryam Parsa. [doi]
• Dendritic Computation through Exploiting Resistive Memory as both Delays and WeightsMelika Payvand, Simone D'Agostino, Filippo Moro, Yigit Demirag, Giacomo Indiveri, Elisa Vianello. [doi]
• Memristive Reservoirs Learn to LearnRuomin Zhu, Jason Eshraghian, Zdenka Kuncic. [doi]
• Enabling local learning for generative-replay-based continual learning with a recurrent model of the insect memory centerRaphael Norman-Tenazas, Isaac Western, Gautam K. Vallabha, Matthew J. Roos, Erik C. Johnson, Brian S. Robinson. [doi]
• State-Space Modeling and Tuning of Memristors for Neuromorphic Computing ApplicationsMing-Jay Yang, John Paul Strachan. [doi]
• Neuromorphic Population Evaluation using the Fugu FrameworkWilliam Severa, Suma George Cardwell, Michael Krygier, Fredrick H. Rothganger, Craig Michael Vineyard. [doi]
• Algorithm and Application Impacts of Programmable Plasticity in Spiking Neuromorphic HardwareShelah Ameli, Adam Z. Foshie, Drew Friend, James S. Plank, Garrett S. Rose, Catherine D. Schuman. [doi]
• GMap : An Open-source Efficient Compiler for Mapping any Network onto any Neuromophic ChipJimmy Weber, Chenxi Wu, Melika Payvand. [doi]
• Synaptic Normalisation for On-Chip Learning in Analog CMOS Spiking Neural NetworksMichele Mastella, Hugh Greatorex, Madison Cotteret, Ella Janotte, Willian Soares Girão, Ole Richter, Elisabetta Chicca. [doi]
• Neuromorphic Bayesian Optimization in LavaShay Snyder, Sumedh R. Risbud, Maryam Parsa. [doi]
• DVSGesture Recognition with Neuromorphic Observation Space Reduction TechniquesCharles Rizzo, Luke Mccombs, Braxton Haynie, Catherine D. Schuman, James S. Plank. [doi]
• On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics ExperimentsShruti 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. [doi]
• Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic ChipsHongyi Li, Mingkun Xu, Jing Pei, Rong Zhao. [doi]
• Impact of Neuron Firing Rate on Application and Algorithm PerformanceLillian Sharpe, Julia Steed, Md Mazharul Islam, Ahmedullah Aziz, Catherine D. Schuman. [doi]
• Robot Locomotion through Tunable Bursting Rhythms using Efficient Bio-mimetic Neural Networks on Loihi and Arduino PlatformsVijay Shankaran Vivekanand, Samarth Chopra, Shahin Hashemkhani, Rajkumar Chinnakonda Kubendran. [doi]
• Neuromorphic Control using Input-Weighted Threshold AdaptationStein Stroobants, Christophe De Wagter, Guido de Croon. [doi]
• Interfacing Neuromorphic Hardware with Machine Learning Frameworks - A ReviewJamie Lohoff, Zhenming Yu, Jan Finkbeiner, Anil Kaya, Kenneth Michael Stewart, Hin-Wai Lui, Emre Neftci. [doi]
• Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay trainingEdoardo W. Grappolini, Anand Subramoney. [doi]
• Generating Event-Based Datasets for Robotic Applications using MuJoCo-ESIMGintautas Palinauskas, Camilo Amaya, Evan Eames, Michael Neumeier, Axel von Arnim. [doi]
• Neuromorphic luminance-edge contextual preprocessing of naturally obscured targetsAlexander James White, Chou P. Hung, Andre V. Harrison, Chung-Chuan Lo. [doi]
• Sampling binary sparse coding QUBO models using a spiking neuromorphic processorKyle Henke, Elijah Pelofske, Georg Hahn, Garrett T. Kenyon. [doi]
• Performance and Energy Simulation of Spiking Neuromorphic Architectures for Fast ExplorationJames Boyle, Mark Plagge, Suma George Cardwell, Frances S. Chance, Andreas Gerstlauer. [doi]
• Dendritic Learning in Superconducting Optoelectronic NetworksRyan O'Loughlin, Bryce A. Primavera, Jeffrey Shainline. [doi]
• A High-Throughput Low-Latency Interface Board for SpiNNaker-in-the-loop Real-Time SystemsJuan Pablo Romero Bermudez, Luis A. Plana, Andrew Rowley, Mikael Hessel, Jens Egholm Pedersen, Steve B. Furber, Jörg Conradt. [doi]
• Deep Reinforcement Learning Methods for Discovering Novel Neuromorphic DevicesDouglas Cale Crowder, John Darby Smith, Suma George Cardwell. [doi]
• Context Modulation Enables Multi-tasking and Resource Efficiency in Liquid State MachinesPeter Helfer, Corinne Teeter, Aaron J. Hill, Craig M. Vineyard, James B. Aimone, Dhireesha Kudithipudi. [doi]
• A Subthreshold Second-Order Integration Circuit for Versatile Synaptic Alpha Kernel and Trace GenerationOle Richter, Hugh Greatorex, Benjamin Hucko, Madison Cotteret, Willian Soares Girão, Ella Janotte, Michele Mastella, Elisabetta Chicca. [doi]
• Hyperdimensional Computing with Spiking-Phasor NeuronsJeff Orchard, Russell Jarvis. [doi]
• Insect-inspired Spatio-temporal Downsampling of Event-based InputAnindya Ghosh, Thomas Nowotny, James C. Knight. [doi]
• High-resolution Extreme-throughput Event-based Cameras using GALS Data-scanning ArchitectureHitesh Ahuja, Rajkumar Kubendran. [doi]
• Using neuromorphic cameras to track quadcoptersTerrence C. Stewart, Marc-Antoine Drouin, Michel Picard, Frank Billy Djupkep Dizeu, Antony Orth, Guillaume Gagné. [doi]
• Egomotion from event-based SNN optical flowYi Tian, Juan Andrade-Cetto. [doi]
• Dendritic Computation for Neuromorphic ApplicationsSuma George Cardwell, Frances S. Chance. [doi]
• Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic ProcessorGavin Parpart, Sumedh R. Risbud, Garrett T. Kenyon, Yijing Watkins. [doi]
• Event-based stereopsis with wearable stereo vision demonstratorSimon Roy, François-Michel De Rainville, Marc-Antoine Drouin, Simon Savary, Terrence C. Stewart. [doi]
• Sparsifying Spiking Networks through Local RhythmsWilkie Olin-Ammentorp. [doi]
• Performance Optimization Study of the Neuromorphic Radiation Anomaly DetectorJames Ghawaly, Aaron Young, Andrew D. Nicholson, Brett Witherspoon, Nick Prins, Mathew Swinney, Cihangir Celik, Catherine D. Schuman, Karan Patel. [doi]