Venue: Hyatt Regency Bellevue on Seattle’s Eastside, Seattle, Washington

Regency Ballroom and Cedar Ballroom

Best Paper Award Winner: A Comparison of Custom and Standard Neuron Model Random Walks on the Ornstein-Uhlenbeck Equation for Simplified Turbulence. Brady Taylor, J. Darby Smith, Felix Wang, Hemanth Kolla and Michael J. Schmidt

Tuesday, July 29, 2025

08:00-09:00Registration/Breakfast (Regency Ballroom)
09:00–9:30Introduction (Regency Ballroom)
09:30-10:30Keynote 1: Prof. Kerem Y. Camsari
Probabilistic Computing with p-bits: Optimization, Machine Learning and Quantum Simulation
10:30-11:00Coffee Break
11:00-12:00Full Talks (Session Chair: Gina Adam)
11:00-11:20
Neuromorphic Closed-Loop Control with Spiking Motor Neuron and Muscle Spindle Models (Best Paper Award Nominee). Paula Stoll, Giacomo Indiveri, Chiara Bartolozzi and Elisa Donati

11:20-11:40
A Comparison of Custom and Standard Neuron Model Random Walks on the Ornstein-Uhlenbeck Equation for Simplified Turbulence (Best Paper Award Nominee). Brady Taylor, J. Darby Smith, Felix Wang, Hemanth Kolla and Michael J. Schmidt

11:40-12:00
Generating Spiking Neural Network Code Libraries for Embedded Systems (Best Paper Award Nominee). Bryson Gullett, Jackson Mowry, James Plank, Luke Whatley, Charles Rizzo and Catherine Schuman.
12:00-13:30Lunch Break
13:30-14:50Four FULL Talks (Session Chair: Kurtis Cantley)
13:30-13:50
Optimizing generalized feedback paths for credit assignment. Isaac Western, Brian S. Robinson, Erik C Johnson and Matthew J. Roos.

13:50-14:10
Izhikevich-Inspired Temporal Dynamics for Enhancing Privacy, Efficiency, and Transferability in Spiking Neural Networks. Ayana Moshruba, Hamed Poursiami and Maryam Parsa.

14:10-14:30
EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks. Michael Neumeier, Jules Lecomte, Soubarna Banik, Nils Kazinski, Bing Li and Axel von Arnim.

14:30-14:50
Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception. Taoyi Wang, Lijian Wang, Yihan Lin, Mingtao Ou, Yuguo Chen, Xinglong Ji and Rong Zhao.
14:50-15:30Coffee Break
15:30-16:45Five Lightning Talks (Session Chair: Shruti Kulkarni)
15:30-15:45
GRASP: Dynamic and Priority-Aware Gradient Sparsification for Efficient Online Learning. Balachandran Swaminathan and Jack Sampson.

15:45-16:00
Do Spikes Protect Privacy? Investigating Black-Box Model Inversion Attacks in Spiking Neural Networks. Hamed Poursiami, Ayana Moshruba and Maryam Parsa.

16:00-16:15
Model-Free Multiplexed Gradient Descent: Neuromorphic Learning in Recurrent Networks. Ryan O’Loughlin, Nicholaus Skuda, Bakhrom Oripov, Bradley Hayes, Adam McCaughan and Sonia Buckley.

16:15-16:30
Vibe2Spike: Wireless, Batteryless Vibration Sensing with Event Cameras and Spiking Neural Networks. Danny Scott, William LaForest, Hritom Das, Ioannis E. Polykretis, Catherine D. Schuman, Charles Rizzo, James Plank and Sai Swaminathan.

16:30-16:45
Constant Depth Threshold Circuits For Exhaustive Epistasis Detection. André Ribeiro, Aleksandar Ilic, and Leonel Sousa.
16:45-18:15Poster session (Cedar Ballroom)

Wednesday, July 30, 2025

08:00-09:00Registration/Breakfast (Regency Ballroom)
09:00-10:00Keynote 2: Prof. Melika Payvand
Emergence and Inductive Biases: Bidirectional Lessons Between Brains and Neuromorphic Systems
10:00-10:30Two Lightning Talks (Session Chair: Ashish Gautam)
10:00-10:15
Synaptic Sampling Networks with True Random Number Generation. Brad Aimone, J. Darby Smith, and William Severa.

10:15-10:30
How Activity Regularization Harms the Performance of Pruned Spiking Neural Networks. Jann Krausse, Moritz Neher, Klaus Knobloch and Juergen Becker.
10:30-11:00Coffee Break
11:00-12:00Three Full Talks (Session Chair: Wilkie Olin-Ammentorp)
11:00-11:20
Quantizing Small-Scale State-Space Models for Edge AI  (Best Paper Award Nominee). Leo Zhao, Tristan Torchet, Melika Payvand, Laura Kriener and Filippo Moro.

11:20-11:40
Neuromorphic Deployment of Spiking Neural Networks for Cognitive Load Classification in Air Traffic Control  (Best Paper Award Nominee). Jiahui An, Chonghao Cai, Olympia Gallou, Sara Fabrikant, Giacomo Indiveri and Elisa Donati.

11:40-12:00
How to Train an Oscillator Ising Machine using Equilibrium Propagation. Alex Gower.
12:00-13:30Lunch Break
13:30–14:00Community Update: Prof. Catherine (Katie) Schuman
The Neuromorphic Commons (THOR): Developing a Neuromorphic Hub for USA Ecosystem for Research, Infrastructure and Collaboration.
14:00–15:00THREE FULL Talks (Session Chair: Charles P. Rizzo)
14:00-14:20
Uncertainty-Aware Spiking Neural Networks for Regression. Tao Sun and Sander Bohte.

14:20-14:40
VRISP – A Vectorized Open-Source Simulator for Efficient Neuromorphic Computing. Jackson Mowry and James Plank.

14:40-15:00
Neuromorphic Cybersecurity with Semi-supervised Lifelong Learning. Md Zesun Ahmed Mia, Malyaban Bal, Sen Lu, George Nishibuchi, Suhas Chelian, Srini Vasan and Abhronil Sengupta.
15:00–15:25Coffee Break
15:25 – 16:25Four LIGHTNING Talks (Session Chair: William Chapman)
15:25-15:40
An Empirical Study on the Impacts of Input Distribution on Digital Reservoir Computer Performance. Lewis Thelen and Vikram Ravindra.

15:40-15:55
Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform. Sirine Arfa, Bernhard Vogginger and Christian Mayr.

15:55-16:10
Exploring Dendrites in Large-Scale Neuromorphic Architectures. James Boyle, Jason Ho, Mark Plagge, Suma George Cardwell, Frances Chance and Andreas Gerstlauer.

16:10-16:25
A Complete Pipeline for deploying SNNs with Synaptic Delays on Loihi 2. Balázs Mészáros, James C. Knight, Jonathan Timcheck and Thomas Nowotny.
16:25–18:25Special Session / Tutorial (Regency and Cedar Ballrooms)
(16:25-17:25, Regency Ballroom) SuperNeuro Tutorial: Running Fast and Scalable Neuromorphic Simulations
https://github.com/ORNL/superneuro
Shruti R. Kulkarni, Ashish Gautam, Prasanna Date, Xi Zhang, Chathika Gunaratne
Oak Ridge National Laboratory
kulkarnisr@ornl.gov, gautama@ornl.gov, datepa@ornl.gov, zhangx8@ornl.gov,   gunaratnecs@ornl.gov
Kevin Zhu
George Mason University
kzhu4@gmu.edu
 
(16:25-17:25, Cedar Ballroom) Computing with Rhythm: A Guided Tutorial in Oscillatory Networks
Wilkie Olin-Ammentorp
Argonne National Laboratory
wolinammentorp@anl.gov
 
(17:25-18:25, Regency Ballroom) SANA-FE v2: Simulating Advanced Neuromorphic Architectures for Fast Exploration 
James Boyle, Jason Ho, Andreas Gerstlauer 
The University of Texas at Austin, USA 
james.boyle@utexas.edu, jason_ho@utexas.edu, gerstl@utexas.edu
Mark Plagge, Suma George Cardwell, Frances S. Chance 
Sandia National Laboratories, Albuquerque, USA 
mplagge@sandia.gov, sgcardw@sandia.gov, fschanc@sandia.gov 
 
(17:25-18:25, Cedar Ballroom) Simulation Tool for Asynchronous Cortical Streams (STACS)
Felix Wang
Sandia National Laboratories
Albuquerque, USA
felwang@sandia.gov
18:30-21:00Banquet Dinner

Thursday, July 31, 2025

08:00-09:00Registration/Breakfast (Regency Ballroom)
09:00-10:00Keynote 3: Prof. Arindam Basu
Neuromorphic Engineering for Intelligent Implantable Brain-Machine Interfaces
10:00-10:30Two LIGHTNING Talks (Session Chair: Chathika Gunaratne)
10:00–10:15
Propeller-Based Drone Tracking with a Moving Neuromorphic Camera. Kevin Murray and Cameron Nowzari.

10:15-10:30
Lateral Divisive Inhibition in Analog Devices for Dynamic Gain Control. William Chapman, James Boyle, Patrick Xiao, Nad Gilbert, Sapan Agarwal and Frances Chance.
10:30-11:00Coffee break
11:00-12:00Three FULL Talks (Session Chair: Ryan O’Loughlin)
11:00-11:20
NAP: Neuromorphic Artificial Pancreas. Charles Rizzo, Daniel Mallett, Maria Hernandez Rivero, Jamin Hanna, Chris White, Steven Dao, Jonathan Tran, Bryson Gullett, Catherine Schuman and James Plank.

11:20-11:40
DESTformer: Energy-Efficient Monocular Depth Estimation with Spiking Transformer for Edge Devices. Sadia Anjum Tumpa, Anusha Devulapally, Chonghan Lee, Chita R. Das and Vijaykrishnan Narayanan.

11:40 – Noon
Extended abstract for Expediting field-effect transistor chemical sensor design with neuromorphic spiking graph neural networks. Rodrigo Pires Ferreira, Rui Ding, Fengxue Zhang, Haihui Pu, Claire Donnat, Yuxin Chen and Junhong Chen.
12:00-13:30 Lunch Break
13:30-14:50Four FULL Talks (Session Chair: Prasanna Date)
13:30–13:50
Unsupervised continual learning of complex sequences in spiking neuronal networks. Younes Bouhadjar, Melissa Lober, Emre Neftci, Markus Diesmann and Tom Tetzlaff.

13:50–14:10
Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance. Alexandru Vasilache, Sven Nitzsche, Christian Kneidl, Mikael Tekneyan, Moritz Neher and Juergen Becker.

14:10–14:30
SpikeRL: A Scalable and Energy-efficient Framework for Deep Spiking Reinforcement Learning. Tokey Tahmid, Mark Gates, Piotr Luszczek and Catherine Schuman.

14:30–14:50
Energy-Efficient Adiabatic Circuits for Neuromorphic Tactile Sensing with E-Prop Learning. Simon F. Müller-Cleve, Alessandro Pasin, Mirko Loghi, Pirah Memon, David Esseni, Chiara Bartolozzi and Sergio Mg Solinas.
14:50–15:00Conference Conclusion