| Tuesday 3/26/2019 | ||||||
| Time | Duration | Title | Speaker | Affiliation | Presentation | Video |
| 8:00-8:15 | 15 min | Welcome/Overview | Murat Okandan | NICE Workshop Foundation | Presentation | Video |
| 8:15-8:35 | 20 min | Karlheinz Meier Memorial | Johannes Schemmel | Heidelberg University | N/A | N/A |
| 8:35-9:25 | 50 min | Programmatic Panel | Video | |||
| 9:25-9:50 | 25 min | Akida: A Low-Power Neuromorphic SoC for Event-Based Computation | Kris Carlson | BrainChip | Presentation | Video |
| 9:50-10:10 | 20 min | break | ||||
| 10:10-10:55 | 45 min | Keynote | Mukesh Khare | IBM Research | Video | |
| 10:55-11:20 | 25 min | SpiNNaker applications | Steve Furber | University of Manchester | Presentation | Video |
| 11:20-11:30 | 10 min | Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting | Humza Syed | Rochester Institute of Technology | Presentation | Video |
| 11:30-11:45 | Poster Lightning Talks | All Poster Presenters | Video | |||
| 11:45-1:15 | 90 min | Lunch | ||||
| 1:15-1:40 | 25 min | DYNAP-SEL: An ultra-low power mixed-signal Dynamic Neuromorphic Asynchronous Processors with SELf learning abilities | Giacomo Indiveri | University of Zurich and ETH Zurich | Presentation | Video |
| 1:40-2:05 | 25 min | Towards nanophotonic hardware accelerators | Nicholas Harris | Lightmatter | N/A | N/A |
| 2:05-2:30 | 25 min | Braindrop: A Mixed-Signal Neuromorphic System that Presents Clean Abstractions | Kwabena Boahen | Stanford University | Presentation | Video |
| 2:30-3:45 | 75 min | poster/demo/tour/break | Video | |||
| 3:45-4:10 | 25 min | Current-Mode Memristor Crossbars for Neuromorphic Computing | Cory Merkel | Rochester Institute of Technology | Presentation | Video |
| 4:10-4:35 | 25 min | Fluxonic Processing of Photonic Synapse Events | Jeff Shainline | NIST | Presentation | Video |
| 4:35-5:00 | 25 min | Turing, or Non-Turing? That is the question | Johannes Schemmel | Heidelberg University | Presentation | Video |
| 5:15-6:15 | 60 min | open mic/discussion | Video | |||
| 6:15-6:30 | 15 min | Break and Move to Zen | ||||
| 6:30-8:00 | 90 min | Reception |
| Wednesday 3/27/2019 | ||||||
| Time | Duration | Title | Speaker | Affiliation | Presentation | Video |
| 8:00-8:15 | 15 min | Welcome/Overview | ||||
| 8:15-9:00 | 45 min | Plenary – Advancing Neuromorphic Computing from Promise to Competitive Technology | Mike Davies | Intel | Presentation | Video |
| 9:00-9:25 | 25 min | Methodology for Benchmarking of Neural Computing Integrated Circuits | Dmitri Nikonov | Intel | N/A | Video |
| 9:25-9:50 | 25 min | Benchmarking Real-time Inference Efficiency on Neuromorphic Hardware | Peter Blouw | Applied Brain Research | Presentation | Video |
| 9:50-10:10 | 20 min | break | ||||
| 10:10-10:35 | 25 min | Synaptic plasticity in an artificial Hebbian network exhibiting continuous, unsupervised, rapid learning | Campbell Scott | IBM Research | Presentation | Video |
| 10:35-11:00 | 25 min | Computing with physics:from biological to artificial intelligence and back again | Mihai Petrovici | Heidelberg University | Presentation | Video |
| 11:00-11:10 | 10 min | Acquisition and Representation of Spatio-Temporal Signals in Polychronizing Spiking Neural Networks | Felix Wang | Sandia National Laboratories | Presentation | Video |
| 11:10-11:20 | 10 min | The structure of complex neural networks and its effects on learning | Pau Aceituno | Max Planck Institute for Mathematics in the Sciences | Presentation | Video |
| 11:20-11:30 | 10 min | Mosaics – making neuromorphic computing adaptive and flexible | Brad Aimone | Sandia National Laboratories | Presentation | Video |
| 11:30-11:40 | 10 min | Spatiotemporal Sequence Memory for Prediction using Deep Sparse Coding | Edward Kim | Villanova University | Presentation | Video |
| 11:45-1:15 | 90 min | Lunch | ||||
| 1:15-1:40 | 25 min | Attractor dynamics and embodiment of neural computing | Yulia Sandamirskaya | University of Zurich and ETH Zurich | Presentation | Video |
| 1:40-2:05 | 25 min | Signal Conditioning for Learning in the Wild | Borthakur / Cleland | Cornell University | Presentation | Video |
| 2:05-2:15 | 10 min | Online reinforcement learning by a spiking network model of the basal ganglia | Tadashi Yamazaki | The University of Electro-Communications | Presentation | Video |
| 2:15-2:25 | 10 min | 3D advanced technologies for neuromorphic architectures | Hughes Metras | Cea Leti | Presentation | Video |
| 2:30-3:45 | 75 min | poster/demo/tour/break | Video | |||
| 3:45-4:10 | 25 min | A Pulse-gated, Neural Implementation of the Backpropagation Algorithm | Andrew Sornborger | Los Alamos National Laboratory | Presentation | Video |
| 4:10-4:35 | 25 min | Towards Critical SNNs: Astrocytes Detect Chaos in Neuronal Dynamics | Konstantinos Michmizos | Rutgers University | Presentation | Video |
| 4:35-5:00 | SUNY Poly Oct Event | Video | ||||
| 5:15-6:15 | 60 min | open mic/discussion | NA | NA | Presentation | Video |
| 6:15-6:30 | 15 min | Break and Move to Zen | ||||
| 6:30-8:00 | 90 min | Dinner |
| Thursday 3/28/2019 | ||||||
| Time | Duration | Title | Speaker | Affiliation | Presentation | Video |
| 8:00-8:15 | 15 min | Welcome/Overview | NA | NA | NA | NA |
| 8:15-9:00 | 45 min | Plenary – AI and Neuroscience: Bridging the Gap | Irina Rish | IBM Research | Presentation | Video |
| 9:00-9:25 | 25 min | Materials engineering for neuromorphic applications | Tony Chiang | Applied Materials | Presentation | Video |
| 9:25-9:50 | 25 min | Towards a chip architecture for acceleration of Deep Neural Networks using Analog Memory | Stefano Ambrogio | IBM Research | Presentation | Video |
| 9:50-10:10 | 20 min | break | ||||
| 10:10-10:35 | 25 min | Low-Power Deep Learning Inference using the SpiNNaker Neuromorphic Platform | Ryan Dellana | Sandia National Laboratories | Presentation | Video |
| 10:35-11:00 | 25 min | Neuromorphic general purpose computation using precise timing | Ryad Benosman | Universiry of Pittsburgh | Presentation | Video |
| 11:00-11:10 | 10 min | Biologically Plausible Binding of Sparse Distributed Representations in Hierarchical Temporal Memory | Luke Boudreau | Rochester Institute of Technology | Presentation | Video |
| 11:10-11:20 | 10 min | Simulating Self-Organizing Neuromorphic Processors | Yijing Watkins | Los Alamos National Laboratory | Presentation | Video |
| 11:20-11:30 | 10 min | A neuro-inspired computing module for unsupervised continual learning based on online clustering and hierarchical predictive coding | Constantine Dovrolis | Georgia Tech | Presentation | Video |
| 11:30-1:15 | 105 min | Lunch | ||||
| 1:15-1:40 | 25 min | Shortest Path and Neighborhood Subgraph Extraction on a Spiking Memristive Neuromorphic Implementation | Catherine Schuman | Oak Ridge National Laboratory | Presentation | Video |
| 1:40-2:05 | 25 min | Active Sensing and its applications to Neuromorphic Space Imaging | Greg Cohen | Western Sydney University | Presentation | Video |
| 2:05-2:15 | 10 min | Half the Measurements, Twice the Speed: Accelerating Deep Reinforcement Learning Using Compressed Sensing | Michael Teti | Florida Atlantic University | Presentation | Video |
| 2:15-3:45 | 90 min | poster/demo/tour/break | Video | |||
| 3:45-3:55 | 10 min | Sensing, Decision Making, and Control on the Intel Loihi Spiking Neural Processor | Yakopcic / Demange | University of Dayton/AFRL | Presentation | N/A |
| 3:55-4:05 | 10 min | Neuromorphic Robot Perception for Autonomous Control | Wallace Lawson | U.S. Naval Research Laboratory | Presentation | Video |
| 4:05-4:30 | 25 min | Neuromorphic computation for autonomous mobility in natural environments | Rolf Muller | Virgina Tech | Presentation | Video |
| 4:30-4:55 | 25 min | Closing Remarks and Awards | Hemanth Jagannathan | IBM Research | Presentation | Video |
| 5:15-6:15 | 60 min | open mic/discussion | Video | |||
| 6:15-6:30 | 15 min | wrap-up/adjourn | ||||
| 6:30-8:00 | 90 min | Dinner for Tutorial Participants |
| Tutorial | Friday 3/29/2019 | |||||
| Time | Duration | Title | Speaker | Affiliation | Presentation | Video |
| Tutorial #1 | SpiNNaker (University of Manchester) | Overview | Presentation | Video | ||
| Tutorial #2 | BrainScaleS (University of Heidelberg) | Overview | Presentation | Video | ||
| Tutorial #3 | Loihi (Intel) | Overview | Presentation | Video | ||
| 8:00-8:20 | 20 min | Tutorial #1 SpiNNaker | Andrew Rowley | University of Manchester | Video | |
| 8:20-8:40 | 20 min | Tutorial #2 BrainScale | Sebastian Schmitt, Eric Muller | Heidelberg University | Video | |
| 8:40-9:00 | 20 min | Tutorial #3 Loihi | Mike Davies, Answol Hu, Andreas Wild | Intel | Video Part 1 Video Part 2 | |
| 9:15-11:45 | 150 min | Attendees choose between Tutorial 1, 2 or 3 | ||||
| 11:45-1:00 | 75 min | Lunch for Tutorial Participants | ||||
| 1:00-3:00 | 120 min | Attendees choose between Tutorial 1, 2 or 3 | ||||
| 3:00 | wrap-up/adjourn |