Schedule

• 9:30-10:00: Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks. Samuel Schmidgall and Joe Hays.
• 10:00-10:30: Neuromorphic Control using Input-Weighted Threshold Adaptation. Stein Stroobants, Christophe De Wagter and Guido De Croon.
• 10:30-11:00: On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. Shruti R. Kulkarni, Aaron Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corinne Mills, Alice Bean, Catherine Schuman, Morris Swartz and Petar Maksimovic.
• 11:00-11:30: Dendritic Learning in Superconducting Optoelectronic Networks. Ryan O’Loughlin, Bryce Primavera and Jeffrey Shainline.

• 13:00-13:30: Robot Locomotion through Tunable Bursting Rhythms using Efficient Bio-mimetic Neural Networks on Loihi and Arduino Platforms. Vijay Shankaran Vivekanand, Samarth Chopra, Shahin Hashemkhani and Rajkumar Kubendran.
• 13:30-14:00: Event-based stereopsis with wearable stereo vision demonstrator. Simon Roy, François-Michel De Rainville, Marc-Antoine Drouin, Simon Savary and Terrence Stewart.
• 14:00 – 14:15: Using neuromorphic cameras to track quadcopters. Terrence Stewart, Marc-Antoine Drouin, Michel Picard, Frank Billy Djupkep Dizeu, Anthony Orth and Guillaume Gagné.
• 14:15 – 14:30: Egomotion from event-based SNN optical flow. Yi Tian (remote) and Juan Andrade Cetto.

• 15:00 – 15:15: Neuromorphic Bayesian Optimization in Lava. Shay Snyder, Sumedh Risbud and Maryam Parsa.
• 15:15- 15:30: DVSGesture Recognition with Neuromorphic Observation Space Reduction Techniques. Charles Rizzo, Luke McCombs, Braxton Haynie, Catherine Schuman and James Plank.
• 15:30- 15:45: Generating Event-Based Datasets for Robotic Applications using MuJoCo-ESIM. Gintautas Palinauskas, Camilo Amaya, Evan Eames, Michael Neumeier and Axel Von Arnim.
• 15:45- 16:00: High-resolution Extreme-throughput Event-based Cameras using GALS Data-scanning Architecture. Hitesh Ahuja and Rajkumar Kubendran.
• 16:00- 16:15: Performance Optimization Study of the Neuromorphic Radiation Anomaly Detector. James Ghawaly, Aaron Young, Andrew Nicholson, Brett Witherspoon, Nick Prins, Mathew Swinney, Cihangir Celik, Catherine Schuman and Karan Patel.
• 16:15-16:30: Impact of Neuron Firing Rate on Application and Algorithm Performance. Lillian Sharpe, Julia Steed, Md Mazharul Islam, Ahmedullah Aziz and Catherine Schuman.

• 17:00-18:00: From Training to Deployment: Build a Spiking FPGA on a $300 Budget. Jason Eshraghian and Fabrizio Ottati.
  Location: Mesa
• 17:00-18:00: Building Scalable, Composable Spiking Neural Algorithms with Fugu. William Severa, Srideep, Musuvathy, and Craig M. Vineyard.
  Location: Canyon
• 18:00-19:00: CrossSim: A Hardware/Software Co-Design Tool for Analog In- Memory Computing. Patrick Xiao, Ben Feinberg, Christopher H. Bennett, Srideep Musuvathy, Matthew J. Marinella, and Sapan Agarwal.
  Location: Mesa
• 18:00-19:00: SuperNeuro Tutorial: Running Fast and Scalable Neuromorphic Simulations. Shruti R. Kulkarni, Chathika Gunaratne, Prasanna Date, Mark Coletti, Robert Patton, and Thomas Potok. GitHub Repo: https://github.com/ORNL/superneuro
  Location: Canyon

• 10:00-10:30: Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor. Gavin Parpart, Sumedh Risbud, Garrett Kenyon and Yijing Watkins.
• 10:30-11:00: Interfacing Neuromorphic Hardware with Machine Learning Frameworks – A Review. Jamie Lohoff, Zhenming Yu, Jan Finkbeiner, Anil Kaya, Kenneth Stewart, Hin Wai Lui and Emre Neftci.
• 11:00-11:30: Context Modulation Enables Multi-tasking and Resource Efficiency in Liquid State Machines. Peter Helfer, Corinne Teeter, Aaron Hill, Craig Vineyard, James B. Aimone and Dhireesha Kudithipudi.

• 13:00 – 13:30: Sensitivity Modulated Importance Networking and Rehearsal for Spike Domain Incremental Learning. Zaidao Mei, Boyu Wang, Daniel Rider and Qinru Qiu.
• 13:30 – 14:00: Performance and Energy Simulation of Spiking Neuromorphic Architectures for Fast Exploration. James Boyle, Mark Plagge, Suma Cardwell, Frances Chance and Andreas Gerstlauer.
• 14:00 – 14:30: Burstprop for Learning in Spiking Neuromorphic Hardware. Mike Stuck and Richard Naud.

• 15:00 – 15:15: Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips. Hongyi Li, Mingkun Xu, Jing Pei and Rong Zhao.
• 15:15 – 15:30: Hyperdimensional Computing with Spiking-Phasor Neurons. Jeff Orchard and Russell Jarvis.
• 15:30 – 15:45: Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay training. Edoardo Grappolini and Anand Subramoney.
• 15:45 – 16:00: Zespol: A Lightweight Environment for Training Swarming Agents. Shay Snyder, Kevin Zhu, Ricardo Vega, Cameron Nowzari and Maryam Parsa.
• 16:00 – 16:15: Enabling local learning for generative-replay-based continual learning with a recurrent model of the insect memory center. Raphael Norman-Tenazas, Isaac Western, Gautam Vallabha, Matthew Roos, Erik C Johnson and Brian S Robinson.
• 16:15 – 16:30: Sparsifying Spiking Networks through Local Rhythms. Wilkie Olin-Ammentorp.

Poster Session

• Logical Operations using Spiking Events in Percolating Networks of Nanoparticles. Sofie Studholme, Simon Brown, Zac Heywood, Josh Mallinson, Phil Bones, and Matt Arnold.
• Memcapacitor-type Synapse and AC Driving Scheme for Ultra-low Power Consumption Neuromorphic Systems. Takumi Kuwahara, Yuma Ishisaki, Hiroki Umemura, Hiroyuki Nishinaka, Mutsumi Kimura, and Yasuhiko Nakashima.
• Training an Ising Machine with Equilibrium Propagation. Jérémie Laydevant, Julie Grollier, and Danijela Markovic.
• Efficient and Low-Footprint Object Classification using Spatial Contrast. Matthew Belding, Daniel Stumpp, and Rajkumar Kubendran.
• Density Networks: A Learning Algorithm Built for Neuromorphic Hardware. Patrick Abbs, Sarah Zapiler, and Erika Schmitt.
• Sup3r-HOTS, a supervised algorithm for increasing Sparsity, Separability, and Stability in Hierarchy Of Time-Surfaces architectures. Marco Rasetto, Himanshu Akolkar, and Ryad Benosman.
• Benchmarking the human brain against computational architectures. Céline van Valkenhoef, Catherine Schuman, and Philip Walther.
• Node-perturbed multiplexed gradient descent for online-training of hardware neural networks   Bakhrom Oripov, Adam N. McCaughan, and Sonia Buckley.
• CrossSim: A Hardware/Software Co-design Tool for Analog In-Memory Computing            Tianyao Xiao, Ben Feinberg, Christopher Bennett, Srideep Musuvathy, Matthew Marinella, and Sapan Agarwal.
• Towards Q-learning-based control using a spiking neuromorphic network and sparse encoding. Giovanni Michel, Alpha Renner, Gerd J. Kunde, and Andrew T. Sornborger.
• NoisyDECOLLE: Robust Local Learning for SNNs on Neuromorphic Hardware. Tim Stadtmann, Benedikt Wahl, and Tobias Gemmeke.
• General-purpose Dataflow Model with Neuromorphic Primitives. Weihao Zhang, Yu Du, Hongyi Li, and Rong Zhao.
• Advances in Synaptic Circuitry for Superconducting Optoelectronic Neuromorphic Hardware. Bryce Primavera, Saeed Khan, Jeffrey Chiles, Ryan O’Loughlin, and Jeffrey Shainline.
• Toward Robust Spiking Neural Networks. Anthony Baietto, Christopher Stewart, and Trevor J. Bihl.
• Experimental analysis of multilevel programming of 1T1R ReRAM crossbar arrays based in-memory computing using a microcontroller-based hardware platform. Jeelka Solanki, Jacob Pelton, Maximilian Liehr, Karsten Beckmann, and Nathaniel Cady.
• Investigating R(t) Functions for Spike-Timing-Dependent Plasticity in Memristive Neural Networks. Farhana Afrin and Kurtis D. Cantley.
• Low powered one hot encoded spike driven memristive dot product engine for SNNs. Sree Nirmillo Biswash Tushar, Hritom Das, Rocco Febbo, Manu Rathore, and Garrett S. Rose.
• Leaky Integrate-and-Fire Activation Functions in Domain Wall Magnetic Tunnel Junction Devices. Wesley Brigner, Naimul Hassan, Xuan Hu, Christopher Bennett, Felipe Garcia-Sanchez, Can Cui, Alvaro Velasquez, Matthew Marinella, Jean Anne Incorvia, and Joseph Friedman.
• Stochastic FitzHugh-Nagumo real-time tuning of an organometalloid oscilliating pseudo-spiking substrate. Davin Browner, Paul Anderson, and Sina Sareh.
• A Neuromorphic Approach to Energy-Efficient, Monocular SLAM. Hiren Kumawat, Colten Webb, and Suzan Manasreh.
• Bio-plausible Hierarchical Semi-Supervised Learning for Intrusion Detection. Malyaban Bal, George Nishibuchi, Suhas Chelian, Srini Vasan, and Abhronil Sengupta.
• Hardware-Software Co-design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing. Gwenevere Frank, Gopabandhu Hota, Keli Wang, Abhinav Uppal, Omowuyi Olajide, Jeffrey Liu, Shashank Bansal, Kenneth Yoshimoto, Qingbo Wang, Stephen Deiss, and Gert Cauwenberghs.
• Exploring the Potential of Spintronic Neuromorphic Swarms for Combinatorial Optimization. Tariq Walker, Guangyu Jiang, Weiling Li, and Yan Fang.
• Homeostasis as a key enabler for continual learning in spiking neural networks. Alexander Hadjiivanov.
• Neuromorphic Low Power Cybersecurity Attack Detection. Wyler Zahm, George Nishibuchi, Suhas Chelian, and Srini Vasan.
• hls4nm – High Level Synthesis for NeuroMorphic computing. Fabrizio Ottati, Jason Eshraghian, and Luciano Lavagno.
• Graph Partitioning on Josephson Junction Neurons. Samuel Adler, and Ken Segall.
• Using Realistic Spike Timing Dependent Plasticity (STDP) Rules to Approximate Backpropagation for Supervised Learning Tasks. Ari Herman, Steven Nesbit, Edward Kim, and Garrett Kenyon.

Student Poster Competition

• HfO2/ZrO2/HfO2 trilayer-based synaptic device. Turgun Boynazarov.
• In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision. Gourav Datta.
• Algorithm and Application Impacts of Programmable Plasticity in Spiking Neuromorphic Hardware. Shelah O Ameli.
• Memcapacitor, promising device for SNN. Takumi Kuwahara.
• Experimental analysis of multilevel programming of 1T1R ReRAM crossbar arrays based in-memory computing using a microcontroller-based hardware platform. Jeelka Solanki.
• General-purpose Dataflow Model with Neuromorphic Primitives. Hongyi Li.
• Heterostimuli-modulated neuromorphic materials and systems for fast, energy-efficient and high-accuracy machine learning. Jae Gwang Kim.
• Exploring Network Connectivity in Gradient Trained Spiking Neural Networks for Improved Biological Realism. Joseph Kilgore.
• Toward Robust Spiking Neural Networks. Anthony Baietto.
• Mystery of neuromorphics. Akash Mohan.
• LCANets++: Robust audio classification using Multi-layer Neural Networks with Lateral Competition. Sayanton Dibbo.
• Are energy-based models trained with equilibrium propagation robust learners. Siddharth Mansingh.
• Digital Twins for Photorealistic Event-Based Structural Dynamics. Allison Davis.
• Sup3r-HOTS A Supervised Algorithm for increasing Sparsity, Separability,  and Stability in Hierarchy Of Time-Surfaces architectures. Marco Rasetto.
• Spiking Neural Network Power Grid (SNNPG): Using Spiking Neural Networks to Detect Attacks on the Power Grid. Kendric Hood.
• Robust Local Learning for SNNs on Neuromorphic Hardware. Tim Stadtmann.
• Synaptic Circuitry for Superconducting Optoelectronic Neuromorphic Hardware. Bryce Primavera.
• An Open-source Design of Neuromorphic Computing on FPGA. Disha Maheshwari and Pracheta Harlikar.
• Hetero Stimuli-modulated neuromorphic materials and systems for fast, energy-efficient and high-accuracy machine learning. Jae Gwang Kim.

• 10:00 – 10:30: Dendritic Computation through Exploiting Resistive Memory as both Delays and Weights. Melika Payvand, Simone D’Agostino, Filippo Moro, Yigit Demirag, Giacomo Indiveri and Elisa Vianello.
• 10:30 – 11:00: A High-Throughput Low-Latency Interface Board for SpiNNaker-in-the-loop Real-Time Systems. Juan P. Romero B., Luis A. Plana, Andrew Rowley, Mikael Hessel, Jens E. Pedersen, Steve Furber and Jörg Conradt.
• 11:00 – 11:30: State-Space Modeling and Tuning of Memristors for Neuromorphic Computing Applications. Ming-Jay Yang and John Paul Strachan.

• 13:00 – 13:30: GMap : An Open-source Efficient Compiler for Mapping any Network onto any Neuromorphic Chip. Jimmy Weber, Chenxi Wu and Melika Payvand.
• 13:30 – 13:45: Memristive Reservoirs Learn to Learn. Ruomin Zhu, Jason Eshraghian and Zdenka Kuncic.
• 13:45 – 14:00: Insect-inspired Spatio-temporal Downsampling of Event-based Input. Anindya Ghosh, Thomas Nowotny and James Knight.
• 14:00 – 14:15: A Subthreshold Second-Order Integration Circuit for Versatile Synaptic Alpha Kernel and Trace Generation. Ole Richter, Hugh Greatorex, Benjamín Hučko, Madison Cotteret, Willian Soares Girão, Ella Janotte, Michele Mastella and Elisabetta Chicca.
• 14:15 – 14:30: Synaptic Normalisation for On-Chip Learning in Analog CMOS Spiking Neural Networks. Michele Mastella, Hugh Greatorex, Madison Cotteret, Ella Janotte, Willian Soares Girão, Ole Richter and Elisabetta Chicca.

• 15:00-15:15: Dendritic Computation for Neuromorphic Applications. Suma Cardwell and Frances Chance.
• 15:15:15:30: Neuromorphic luminance-edge contextual preprocessing of naturally obscured targets. Alexander White, Chou P. Hung, Andre V. Harrison and Chung-Chuan Lo.
• 15:30:15:45: Deep Reinforcement Learning Methods for Discovering Novel Neuromorphic Devices. Douglas C. Crowder, J. Darby Smith and Suma G. Cardwell.
• 15:45-16:00: Sampling binary sparse coding QUBO models using a spiking neuromorphic processor. Kyle Henke, Garrett Kenyon, Georg Hahn and Elijah Pelofske.
• 16:00-16:15: Algorithm and Application Impacts of Programmable Plasticity in Spiking Neuromorphic Hardware. Shelah Ameli, Adam Foshie, Drew Friend, James Plank, Garrett Rose and Catherine Schuman.
• 16:15-16:30: SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing. Prasanna Date, Chathika Gunaratne, Shruti R. Kulkarni, Robert Patton, Mark Coletti and Thomas Potok.
• 16:30-16:45: S3cure: Scramble, Shuffle and Shambles – Secure Deployment of Weight Matrices in Memristor Crossbar Arrays. Melvin Galicia, Ibrahim Osman, Christian Owusu-Afriyie and Rainer Leupers.
• 16:45-17:00: Neuromorphic Population Evaluation using the Fugu Framework. William Severa, Suma Cardwell, Michael Krygier, Fredrick Rothganger and Craig Vineyard.