Schedule-2026

    Day 1: Tuesday, August 4, 2026

    08:00-08:45Registration & Badge Pick Up
    08:45-09:00Welcome & Opening Remarks by the General Chairs
    Prasanna Date (Oak Ridge National Laboratory) and Shruti Kulkarni (Oak Ridge National Laboratory)
    09:00-10:00Keynote 1 (Chair: Prasanna Date)
    Hippocampus-inspired Memristive Neural Networks: From Co-Design to Implementation
    Gina Adam (George Washington University)
    10:00-10:30Coffee Break
    10:30-12:00Full/Short Talks: Systems (Session 1 Chair: Angel Yanguas-Gil )
    10:30-10:50
    FlowEqProp: Training Flow Matching Models with Gradient Equilibrium Propagation.
    Alex Gower (Nokia Bell Labs and University of Cambridge).
    10:52-11:12
    TestuNose: A Spike-Time-Based Olfactory System That Sniffs. Timothy Horiuchi (University of Maryland, College Park), Gerald Lu (Montgomery Blair High School), Sai Ryan (Montgomery Blair High School).
    11:14-11:34
    A Neuromorphic Trigger for Efficient Audio Event Detection. Benjamin Hatton (University of Manchester), Oliver Rhodes (University of Manchester), Luca Peres (University of Manchester).
    11:36-11:46
    Sensor–Algorithm Co-Design for Spectral Sampling in Neuromorphic Vision.
    Ezra Block (The Open University of Israel), Hadar Cohen Duwek (The Open University of Israel), Elishai Ezra Tsur (The Open University of Israel).
    11:48-11:58
    Challenging the Spatiotemporal Processing of Neuromorphic Models through a Temporally-Rich Event-Based Dataset.
    James Seekings (University of South Carolina), Peyton Chandarana (University of South Carolina), Arshia Eslami (University of South Carolina), Ramtin Zand (University of South Carolina).
    12:00-12:10Group Photo Session
    12:00-13:30Lunch Break
    13:30-15:00Full/Short Talks: Systems (Session 2 Chair: James Ghawaly)
    13:30-13:50
    Neuromorphic Silicon Neuron Controller for Adaptive Deep Brain Stimulation in Parkinson’s Disease.
    Md Abu Bakr Siddique (Michigan Technological University), Jakub Orłowski (University College Dublin), Yan Zhang (Michigan Technological University), Hongyu An (Michigan Technological University).
    13:52-14:12
    A Spiking Neural Architecture for Coordinating Arm and Locomotor Control.
    Lea Steffen (University of Waterloo), Kathryn Simone (University of Waterloo), Graeme Damberger (University of Waterloo), Travis DeWolf (Applied Brain Research), Hudson Ly (University of Waterloo), Chris Eliasmith (University of Waterloo).
    14:14-14:24
    WSST-Based Time–Frequency Representation for CNN-Based Dementia Classification from EEG.
    Salleh Sonko (University of North Texas), Wael Korani (University of North Texas), Mohamed Islam Houssam (American International University Bangladesh (AIUB)), Gahangir Hossain (University of North Texas).
    14:26-14:36
    Neuroscience Inspired Graph Operators Towards Edge-Deployable Virtual Sensing for Irregular Geometries.
    William Howes (University of Illinois Urbana-Champaign), Farid Ahmed (University of Illinois Urbana-Champaign), Kazuma Kobayashi (University of Illinois Urbana-Champaign), Souvik Chakraborty (Indian Institute of Technology Delhi), Syed Bahauddin Alam (University of Illinois Urbana-Champaign).
    14:38-14:48
    Spiking Neural Networks for Real-Time Strategy: A Curriculum-Trained SNN Agent for MicroRTS.
    Chang Liu (School of EECS, Ohio University).
    14:50-15:00
    CRISP: A JIT Compiled Neuromorphic Simulator.
    Jackson Mowry (University of Tennessee), James Plank (University of Tennessee).
    15:00-15:30Coffee Break
    15:30-17:30Full/Short Talks: Systems (Session 3 Chair: Frances Chance)
    15:30-15:50
    Sponsor Talk: Neurophysiology of Cognition, Brain Inspired AIs, and Human-AI Interactions.
    Chou Hung, Program Manager, Neurophysiology of Cognition Army Research Office (ARO).

    15:50-16:10
    Sleep-Inspired Replay-Driven Online Temporal Learning with Memristive Neuromorphic Hardware for Edge Systems.
    Sree Nirmiillo Biswash Tushar (University of Tennessee, Knoxville), Sk Hasibul Alam (University of Tennessee, Knoxville), Miranda Gonzales (University of Texas at San Antonio), Itamar Lerner (University of Texas at San Antonio), Catherine Schuman (University of Tennessee, Knoxville), Garrett Rose (University of Tennessee, Knoxville).
    16:12-16:32
    Neuromorphic Parameter Estimation for Power Converter Health Monitoring Using Spiking Neural Networks.
    Hyeongmeen Baik (University of Wisconsin-Madison), Hamed Poursiami (George Mason University), Maryam Parsa (George Mason University), Jinia Roy (University of Wisconsin-Madison).
    16:34-16:54
    Open-source Asynchronous Periphery for Mixed-Signal Neuromorphic Chips.
    Hugh Greatorex (University of Groningen), Madison Cotteret (University of Groningen), Michele Mastella (Neuronova), Arianna Rubino (ETH Zurich), Elisabetta Chicca (University of Groningen), Ole Richter (Technical University of Denmark).
    16:56-17:06
    A Neuromorphic Pipeline from Training to Hardware Deployment Using SLAYER.
    Karan Patel (University of Tennessee, Knoxville), Luke Whatley (University of Tennessee), Bryson Gullett (University of Tennessee Knoxville), Jackson Mowry (University of Tennessee), Sree Nirmillo Biswash Tushar (University of Tennessee, Knoxville), Sk Hasibul Alam (University of Tennessee, Knoxville), Charles Rizzo (University of Tennessee Knoxville), Garrett Rose (University of Tennessee, Knoxville), Aaron Young (Oak Ridge National Laboratory), Catherine Schuman (University of Tennessee).
    17:08-17:18
    Sigma-Delta Neural Network Conversion on Loihi 2.
    Matthew Brehove (ChromoLogic LLC), Sadia Anjum Tumpa (Pennsylvania State University), Espoir Kyubwa (ChromoLogic LLC), Naresh Menon (ChromoLogic LLC), Vijaykrishnan Narayanan (Pennsylvania State University).
    17:18-17:30Poster Setup
    17:30-19:00Poster Session & Reception (Chairs: Frances Chance & Prasanna Date)
    17:30-19:00Student Poster Competition

    Vertical Floating-Gate Memristor Arrays with Diode Functionality for High-Yield Neuromorphic Systems.
    Jihyun Lee (SungKyunKwan University).

    Matrix-Dependent Effects of RRAM Cycle-to-Cycle Variability on In-Memory Computing Solution Accuracy.
    Md Tawsif Rahman Chowdhury (Wayne State University), Alireza Moazzeni, Hyunh Q.N. Vo, Paritosh Ramanan, Murat Yildirim, Gozde Tutuncuoglu.

    Biological Neural Networks as Computational Reservoirs for Navigation Tasks.
    Christian Iván Navarro Cuéllar (Universidad de Guadalajara), Gustavo Guzmán, María Inmaculada Márquez Noriego, J Alejandro Morales, Omar Paredes.

    Salient Region Proposals for Object Detection.
    Kenneth San (Johns Hopkins University), Akwasi Akwaboah, Aaron Sampson, Shira Goldhaber-Gordon, Ralph Etienne-Cummings, Andreas Andreou, Stefan Mihalas, Ernst Niebur.

    Sensor–Algorithm Co-Design for Spectral Sampling in Neuromorphic Vision.
    Ezra Block (Open University of Israel), Hadar Cohen-Duwek, Elishai Ezra Tzur.

    Symbolic-Temporal Spike Encoding for Asynchronous Cyber Event Streams.
    Dalton Diez (Louisiana State University), Peyton Andras, Maxwell Shroyer, James Ghawaly.

    Co-Evolved Spiking Neural Network Ensembles via Marginal Contribution Fitness.
    Catherine Rodriquez (Louisiana State University), James Ghawaly.

    A modular approach towards memristive hardware implementation of spiking graph neural networks.
    Syed Sameer Nadeem (George Washington University), Joseph Kilgore, Ashish Gautam, Thomas Potak, Gina Adam.

    STDP-Based Learning and Information Propagation in Biological Reservoir Computing.
    Noah Chongsiriwatana (University of Maryland), Ian Whitehouse, Anna Emenheiser, Jeneh Perry, Sylvester Gates III, Lahiru Wijerathna, Behtash Babadi, Wolfgang Losert.

    Evolving Intermediate Neurons for Multi-Pattern STDP Detection.
    Ashraf Shihab (Boise State University), Kurtis Cantley.

    From GPUs to RRAMs: Distributed In‐Memory Primal–Dual Hybrid Gradient Method for Solving Large‐Scale Linear Optimization Problems.
    Huynh Vo (School of Industrial Engineering and Management, Oklahoma State University), M. T. R. Chowdhury, Paritosh Ramanan, Gözde Tutuncuoglu, Junchi Yang, Feng Qiu, Murat Yildirim.

    SpikeEngine: A Scalable FPGA Platform for Spiking Neural Networks.
    Imran Fahad (University of Tennessee, Knoxville), Prasanna Date, Ashish Gautam.

    Hardware Implementation of Biologically Realistic Spiking Neural Networks for Boolean Logic Operations.
    Dylan Pino (Wootton High School), Robinson Pino.

    Ultra Low-Power NEF-based Spiking Neural Network Models for BCI Motor Decoding.
    Juan Pablo Botero Torres (University of Utah), Arthur Shao, Spencer Kellis, Florian Solzbacher.

    Analysis and Parametric Study of a MEMS-based Reservoir Computer for Reinforcement Learning.
    Andrew Carr (California Polytechnic State University), Mohammad H Hasan.

    SpikeDx: Learning Voice Biomarkers with Spiking Neural Networks for Clinical Diagnosis.
    Kendric Hood (Kent State University), Qiang Guan, Joao Vitor Macambira Donaton.

    Spike-Capped Delays: Hardware-Friendly Spiking Neural Network Delays With Limited Event Capacities.
    Bryson Gullett (University of Tennessee, Knoxville), Luke Whatley, Charles Rizzo, Henry Hodge, James Plank, Catherine Schuman.

    FlowEqProp: Training Flow Matching Generative Models with Gradient Equilibrium Propagation.
    Alex Gower (University of Cambridge).

    Robustness Evaluation of Rhythm-SNN Under Various Noise Perturbations.
    Sazia Rahman (The University of Texas at San Antonio), William Severa.

    Saliency-Informed Sparsity For Gating Deep Convolutional Feature Space.
    Shira Goldhaber-Gordon (Johns Hopkins University), Akwasi Akwaboah, Aaron Sampson, Stefan Mihalas, Ernst Niebur, Andreas Andreou, Ralph Etienne-Cummings.

    Characterizing Memory Efficiency in Procedurally Generated Spiking Neural Network Simulation.
    Oluwapelumi Babalola (The University of Texas at San Antonio), William Severa.

    Spiking Neural Network Autoencoder Approach for Fraudulent Transaction Detection.
    Oluwapelumi Babalola (The University of Texas at San Antonio), William Severa.

    Evolving Sparse Neuromorphic Controller for Efficient Quadrupedal Locomotion.
    Sk Hasibul Alam (University of Tennessee, Knoxville), Garrett Rose.

    A Neuromorphic Trigger for Efficient Audio Event Detection.
    Benjamin Hatton (University of Manchester), Oliver Rhodes, Luca Peres.

    Neuromorphic Embodied AI Robot for Place Cell Modeling with Rodent Experiment Calibration.
    Tianze Liu (Michigan Tech), Zihan Jin, Dong Song, Hongyu An.

    TCP-E-SNN: Temporal Confidence Propagation with Engram Memory for Calibrated Fall Detection Across Patient Demographics.
    Blessing Effiong (Saint Louis University), Veric Tan.

    Spiking (C)NNs with Frequency-Spatial Feature Fusion for Automotive Sound Source Localization and Detection.
    Shreya Kshirasagar (TU Dresden/Bosch Research), Andre Guntoro, Benjamin Cramer, Christian Mayr.

    Self-Organized Learning Oscillatory Neural Networks with Memristive Inhibitory Couplings
    Riley Acker (Los Alamos National Laboratory/UZH/ETH), Aman Desai, Garrett Kenyon, Frank Barrows.

    Accepted Posters
    Neuromorphic Continual Learning for Sequential Deployment of Nuclear Plant Monitoring Systems.
    Samrendra Roy (University of Illinois), Sajedul Talukder, Syed Bahauddin Alam.

    Systolic Array Accelerator for Intermittent Computing Using Nonvolatile Hybrid Gain Cell DRAM.
    Andrew Pohl (University of Cincinnati), Ramesh Srinivasan, Rashmi Jha.

    A Programmable Digital Spiking CNN Accelerator for Hypoxia Detection.
    Sarah Johari (Drexel University), Suman Kumar, Abhishek Kumar Mishra, Anush Niranjan Lingamoorthy, Nagarajan Kandasamy.

    The Field Within: Ephaptic Coupling as a Free Computational Primitive in Spiking Attractor Networks.
    Manojshyaam C J (Indian Institute of Technology Madras).

    Spiking Graph Neural Networks for Citation Networks with Features on SuperNeuroMAT.
    Tyler Nitzsche (University of Tennessee), Shay Snyder, Ian Mulet, Kevin Zhu, Maryam Parsa, Catherine Schuman, Seung-Hwan Lim, Guojing Cong, Thomas Potok.

    An APS Pathway to Retinomorphic Cameras.
    Kapish Singh (University of Wisconsin Madison), Shay Snyder, Zihan Yin, Maryam Parsa, Akhilesh Jaiswal.

    Developing Spiking Neural Networks for Uranium Enrichment Monitoring.
    Aaron Young (Oak Ridge National Laboratory), Larry Zhang, Dalton Diez, Brett Witherspoon, Mathew Swinney, James Ghawaly, Catherine Schuman, Andrew Nicholson.

    When Spike Sparsity Does Not Translate to Deployed Cost: VS-WNO on Jetson Orin Nano.
    Jason Yoo (University of Illinois Urbana-Champaign), Shailesh Garg, Souvik Chakraborty, Syed Bahauddin Alam.

    Simulating Synchrony Loop Networks in the Open Source RISP Neuroprocessor.
    Jackson Mowry (University of Tennessee, Knoxville), Patrick Abbs.

    Day 2: Wednesday, August 5, 2026

    08:00-08:45Registration & Badge Pick Up
    08:45-09:00Welcome & Opening Remarks by the Program Chairs
    William Severa (University of Texas at San Antonio) and Angel Yanguas-Gil (Argonne National Laboratory)
    09:00-10:00Keynote 2 (Chair: Angel Yanguas-Gil)
    The Dawn of Brain-Like Neuromorphic Algorithms
    James Brad Aimone (Sandia National Laboratories)
    10:00-10:30Coffee Break
    10:30-12:00Full/Short Talks: Algorithms(Session 4 Chair: Angel Yanguas-Gil)
    10:30-10:50
    Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks.
    Wilkie Olin-Ammentorp (Argonne National Laboratory).
    10:52-11:12
    Salient Region Proposals for Object Detection.
    Kenneth San (Johns Hopkins University), Akwasi Akwaboah (Johns Hopkins University), Aaron Sampson (Johns Hopkins University), Shira Goldhaber-Gordon (Johns Hopkins University), Ralph Etienne-Cummings (Johns Hopkins University), Andreas Andreou (Johns Hopkins University), Stefan Mihalas (Allen Institute for Brain Science), Ernst Niebur (Johns Hopkins University).
    11:14-11:34
    Practical Bayesian Inference for Speech SNNs: Uncertainty and Loss-Landscape Smoothing.
    Yesmine Abdennadher (Idiap Research Institute), Philip Garner (Idiap Research Institute).
    11:36-11:46
    Quantization of Spiking Neural Networks Beyond Accuracy.
    Evan Smith (Worcester Polytechnic Institute), Jacob Whitehill (Worcester Polytechnic Institute), Fatemeh Ganji (Worcester Polytechnic Institute).
    11:48-11:58
    Prototype Replay for Cold-Start Online Class-Incremental Learning in Spiking Networks.
    Fatima Tuz Zohora (University of Texas at San Antonio), Dhireesha Kudithipudi (University of Texas at San Antonio).
    12:00-13:30Lunch Break
    13:30-15:00Full/Short Talks: Algorithms(Session 5 Chair: Ashish Gautam)
    13:30-13:50
    A Neuromorphic Metropolis-Hastings Sampler: Leveraging Spiking Hardware for A Vital Primitive.
    Brady Taylor (Sandia National Laboratories), J. Darby Smith (Sandia National Laboratories).
    13:52-14:12
    Direction-of-Arrival Estimation via Spiking Locally Competitive Algorithm.
    Joseph Randich (Naval Information Warfare Center Pacific), Justin Mauger (Naval Information Warfare Center Pacific), Haik Manukian (Naval Information Warfare Center Pacific).
    14:14-14:34
    EchoDiff: Echo State Reservoirs for Parameter-Efficient Diffusion Image Generation.
    Kazi Ramisa Rifa (University of Kentucky), Ishan Thakkar (University of Kentucky), Sen-Ching Cheung (University of Kentucky), Jeffrey Todd Hastings (University of Kentucky).
    14:36-14:46
    Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons.
    Aref Ghoreishee (Electrical and Computer Engineering Department, Drexel University), Abhishek Mishra (Electrical and Computer Engineering Department, Drexel University), John MacLaren Walsh (Electrical and Computer Engineering Department, Drexel University), Anup Das (Electrical and Computer Engineering Department, Drexel University), Nagarajan Kandasamy (Electrical and Computer Engineering Department, Drexel University).
    14:48-14:58
    Co-Evolved Spiking Neural Network Ensembles via Marginal Contribution Fitness.
    Catherine Rodriquez (Louisiana State University), James Ghawaly (Louisiana State University).
    15:00-15:30Coffee Break
    15:30-16:00Funders’ Panel (Moderator: William Severa)
    1. Chou Hung, Program Manager, Neurophysiology of Cognition, U.S. Army Research Office (ARO)
    2. Grace Hwang, Program Director, National Institutes of Health (NIH), National Institute of Neurological Disorders and Stroke (NINDS), Brain Research Through Advancing Innovative Neurotechnologies® (BRAIN) Initiative
    3. Roger Miller, Program Director for Neural Prosthesis Development at the National Institute on Deafness and Other Communication Disorders (NIDCD), National Institutes of Health (NIH)
    4. Robinson Pino, Senior Engineering Director at United Semiconductors and former Program Manager for the Advanced Scientific Computing Research (ASCR) Program Office in the U.S. Department of Energy (DOE) Office of Science
    16:00-17:30Full/Short Talks: Algorithms (Session 6 Chair: William Severa)
    16:00-16:10
    Sponsor Talk: Neuromorphic Graph Learning at Scale: Faster, Accurate, Energy-Efficient AI for Science.
    Thomas Potok, Distinguished Research Scientist, Oak Ridge National Laboratory
    16:12-16:32
    SRMU: Relevance-Gated Updates for Streaming Hyperdimensional Memories.
    Shay Snyder (George Mason University), Andrew Capodieci (Neya Robotics), David Gorsich (US Army Futures Command), Maryam Parsa (George Mason University).
    16:34-16:54
    HyperGraphX: Graph Transductive Learning with Hyperdimensional Computing and Message Passing.
    Guojing Cong (Oak Ridge National Laboratory), Thomas Potok (Oak Ridge National Laboratory), Hamed Poursiami (George Mason University), Maryam Parsa (George Mason University).
    16:56-17:06
    Convolutional Sparse Coding via the Locally Competitive Algorithm on Loihi 2.
    Geoffrey Kasenbacher (Mercedes-Benz AG / University of Luebeck).
    17:08-17:18
    4SM: Selective Spiking State Space Models for Neuromorphic Sequence Learning. Avi Hazan (The Open University of Israel), Shlomo Greenberg (Ben Gurion University), Elishai Ezra Tsur (The Open University of Israel).
    17:20-17:30
    Saliency-Informed Sparsity For Gating Deep Convolutional Feature Space.
    Shira Goldhaber-Gordon (Johns Hopkins University), Akwasi Akwaboah (Johns Hopkins University), Aaron Sampson (Johns Hopkins University), Stefan Mihalas (Allen Institute), Ernst Niebur (Johns Hopkins University), Andreas Andreou (Johns Hopkins University), Ralph Etienne-Cummings (Johns Hopkins University).
    18:00-20:00Banquet: Chicago Deep Dish Pizza (Coordinator: Amit Trivedi)
    Venue: Lou Malnati’s Pizzeria
    Address: 131 W Jefferson Ave, Naperville, IL 60540
    Google Maps Link: https://maps.app.goo.gl/UGumxarU1N6uYRkW7
    The restaurant is approximately a 10-minute drive from the conference hotel. Please note that attendees are responsible for arranging their own transportation.

    Day 3: Thursday, August 6, 2026

    08:00-08:45Registration & Badge Pick Up
    08:45-09:00Award Ceremony
    William Severa (University of Texas at San Antonio)
    09:00-10:00Keynote 3 (Chair: Shruti Kulkarni)
    Memory Powers Intelligence: From Neuromorphic Computing to Memory-Centric AI Systems
    Hai Li (Duke University)
    10:00-10:30Coffee Break
    10:30-12:00Full/Short Talks: Hardware (Session 7 Chair: Shruti Kulkarni)
    10:30-10:50
    Charge-Domain Leaky-Integrate-and-Fire Neuron with Tunable Parameters Using Ferroelectric Non-Volatile Capacitors.
    Parker Megginson (Georgia Institute of Technology), Madhav Vadlamani (Georgia Institute of Technology), Jianwei Jia (Georgia Institute of Technology), G. William Chapman (Cognitive and Emerging Computing, Center for Computing Research, Sandia National Laboratories), Suma G. Cardwell (Cognitive and Emerging Computing, Center for Computing Research, Sandia National Laboratories), Shimeng Yu (Georgia Institute of Technology).
    10:52-11:12
    Radio Frequency Resonate and Fire (RF-RAF) Neurons.
    David Weathers (Air Force Institute of Technology), Michael Temple (Air Force Institute of Technology), Rachel Oliver (Air Force Institute of Technology).
    11:14-11:34
    Neuroprocessor Noise Resilience Using HfO₂-Based Synapses.
    Charles Rizzo (The University of Tennessee, Knoxville), Jeelka Solanki (University at Albany), Soumya Swaraj Mondal (Oklahoma State University), Nathaniel Cady (University at Albany), Catherine Schuman (University of Tennessee, Knoxville), James Plank (The University of Tennessee, Knoxville), Garrett Rose (University of Tennessee, Knoxville), Hritom Das (Oklahoma State University).
    11:36-11:46
    Energy-Efficient Spiking Neurons using Interlayer Tunneling Field-Effect Transistors.
    Jason Ho (The University of Texas at Austin), Kenneth A. Lin (The University of Texas at Austin), Yaoyao Jia (The University of Texas at Austin), Michael Orshansky (The University of Texas at Austin), Emanuel Tutuc (The University of Texas at Austin), Andreas Gerstlauer (The University of Texas at Austin).
    11:48-11:58
    Hardware–Software Co-Design for Event-Driven SNN Deployment on Low-Cost Neuromorphic FPGAs.
    Jiwoon Lee (Kwangwoon University), Souvik Chakraborty (IIT Delhi), Syed Bahauddin Alam (University of Illinois Urbana-Champaign), Cheolsoo Park (Kwangwoon University).
    12:00-13:30Lunch Break
    13:30-15:00Full/Short Talks: Hardware (Session 8 Chair: James Ghawaly)
    13:30-13:50
    Optimization of Emerging Analog Compute Systems with Shem.
    Yu-Neng Wang (Stanford University), Sara Achour (Stanford University).
    13:52-14:12
    Temporal Sparse Die-to-Die Communication in Heterogeneous Neuromorphic Systems.
    Joshua Nardone (University of California, Santa Cruz), Ruijie Zhu (University of California, Santa Cruz), Ruhai Lin (University of California, Santa Cruz), Joseph Callenes (California Polytechnic State University), Mohammed Elbtity (University of South Carolina), Ramtin Zand (University of South Carolina), Jason Eshraghian (University of California, Santa Cruz).
    14:14-14:34
    Cross-Layer Analysis of Permanent Faults in Asynchronous NoCs for Neuromorphic Computing.
    Giuseppe Chessa (University of Manchester), Yuyi Yang (University of Manchester), Edward Jones (University of Manchester), Michele Favalli (Universitá degli studi di Ferrara), Davide Bertozzi (University of Manchester).
    14:36-14:46
    HiRo: A Compact Four-Directional Hierarchical Reservoir Token-Mixer for Efficient Image Classification.
    Md Farhadul Islam (University of Kentucky), Ishan Thakkar (University of Kentucky), J. Todd Hastings (University of Kentucky).
    14:48-15:00Tutorial Preview Talks & Closing Remarks
    15:00-15:30Coffee Break
    15:30-17:30Tutorials
    15:30-17:30
    SuperNeuro + NeuroCoreX Tutorial: Running Fast and Scalable Neuromorphic Simulations.
    Ashish Gautam, Xi Zhang, Kevin Zhu, Shruti Kulkarni and Prasanna Date.
    15:30-17:30
    Tutorial: Sango, an enhanced frontend interface to Fugu.
    Felix Wang.