Schedule-2026

    Day 1: Tuesday, August 4, 2026

    09:00-10:00Keynote 1: Gina Adam
    Hippocampus-inspired Memristive Neural Networks: From Co-Design to Implementation
    10:00-10:30Coffee Break
    10:30-12:00Full/Short Talks (Session 1)
    10:30-10:50
    FlowEqProp: Training Flow Matching Models with Gradient Equilibrium Propagation. Gower.
    10:52-11:12
    TestuNose: A Spike-Time-Based Olfactory System That Sniffs. Horiuchi, Lu & Ryan.
    11:14-11:34
    A Neuromorphic Trigger for Efficient Audio Event Detection. Hatton, Rhodes & Peres.
    11:36-11:46
    Sensor–Algorithm Co-Design for Spectral Sampling in Neuromorphic Vision. Block, Cohen Duwek & Tsur.
    11:48-11:58
    Challenging the Spatiotemporal Processing of Neuromorphic Models through a Temporally-Rich Event-Based Dataset. Seekings et al.
    12:00-13:30Lunch Break
    13:30-15:00Full/Short Talks (Session 2)
    13:30-13:50
    Neuromorphic Silicon Neuron Controller for Adaptive Deep Brain Stimulation in Parkinson’s Disease. Siddique et al.
    13:52-14:12
    A Spiking Neural Architecture for Coordinating Arm and Locomotor Control. Steffen et al.
    14:14-14:24
    WSST-Based Time–Frequency Representation for CNN-Based Dementia Classification from EEG. Sonko et al.
    14:26-14:36
    Neuroscience Inspired Graph Operators Towards Edge-Deployable Virtual Sensing for Irregular Geometries. Howes et al.
    14:38-14:48
    Spiking Neural Networks for Real-Time Strategy: A Curriculum-Trained SNN Agent for MicroRTS. Liu.
    14:50-15:00
    CRISP: A JIT Compiled Neuromorphic Simulator. Mowry & Plank.
    15:00-15:30Coffee Break
    15:30-15:50ARO Presentation
    15:50-16:00Stretch Break
    16:00-17:30Full/Short Talks (Session 3)
    16:00-16:20
    Sleep-Inspired Replay-Driven Online Temporal Learning with Memristive Neuromorphic Hardware for Edge Systems. Tushar et al.
    16:22-16:42
    Neuromorphic Parameter Estimation for Power Converter Health Monitoring Using Spiking Neural Networks. Baik et al.
    16:44-17:04
    Open-source Asynchronous Periphery for Mixed-Signal Neuromorphic Chips. Greatorex et al.
    17:06-17:16
    A Neuromorphic Pipeline from Training to Hardware Deployment Using SLAYER. Patel et al.
    17:18-17:28
    Sigma-Delta Neural Network Conversion on Loihi 2. Brehove et al.

    Day 2: Wednesday, August 5, 2026

    09:00-10:00Keynote 2: Brad Aimone
    The Dawn of Brain-Like Neuromorphic Algorithms
    10:00-10:30Coffee Break
    10:30-12:00Full/Short Talks (Session 4)
    10:30-10:50
    Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks. Olin-Ammentorp.
    10:52-11:12
    Salient Region Proposals for Object Detection. San et al.
    11:14-11:34
    Practical Bayesian Inference for Speech SNNs: Uncertainty and Loss-Landscape Smoothing. Abdennadher & Garner.
    11:36-11:46
    Quantization of Spiking Neural Networks Beyond Accuracy. Smith et al.
    11:48-11:58
    Prototype Replay for Cold-Start Online Class-Incremental Learning in Spiking Networks. Tuz Zohora & Kudithipudi.
    12:00-13:30Lunch Break
    13:30-15:00Full/Short Talks (Session 5)
    13:30-13:50
    A Neuromorphic Metropolis-Hastings Sampler: Leveraging Spiking Hardware for A Vital Primitive. Taylor & Smith.
    13:52-14:12
    Direction-of-Arrival Estimation via Spiking Locally Competitive Algorithm. Randich, Mauger & Manukian.
    14:14-14:34
    EchoDiff: Echo State Reservoirs for Parameter-Efficient Diffusion Image Generation. Rifa et al.
    14:36-14:46
    Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons. Ghoreishee et al.
    14:48-14:58
    Co-Evolved Spiking Neural Network Ensembles via Marginal Contribution Fitness. Rodriquez & Ghawaly.
    15:00-15:30Funders’ Panel
    15:30-16:00Coffee Break
    16:00-17:30Full/Short Talks (Session 6)
    16:00-16:10
    ORNL Presentation
    16:12-16:32
    SRMU: Relevance-Gated Updates for Streaming Hyperdimensional Memories. Snyder et al.
    16:34-16:54
    HyperGraphX: Graph Transductive Learning with Hyperdimensional Computing and Message Passing. Cong et al.
    16:56-17:06
    Convolutional Sparse Coding via the Locally Competitive Algorithm on Loihi 2. Kasenbacher.
    17:08-17:18
    4SM: Selective Spiking State Space Models for Neuromorphic Sequence Learning. Hazan, Greenberg & Tsur.
    17:20-17:30
    Saliency-Informed Sparsity For Gating Deep Convolutional Feature Space. Goldhaber-Gordon et al.

    Day 3: Thursday, August 6, 2026

    09:00-10:00Keynote 3
    10:00-10:30Coffee Break
    10:30-12:00Full/Short Talks (Session 7)
    10:30-10:50
    Charge-Domain Leaky-Integrate-and-Fire Neuron with Tunable Parameters Using Ferroelectric Non-Volatile Capacitors. Megginson et al.
    10:52-11:12
    Radio Frequency Resonate and Fire (RF-RAF) Neurons. Weathers, Temple & Oliver.
    11:14-11:34
    Neuroprocessor Noise Resilience Using HfO₂-Based Synapses. Rizzo et al.
    11:36-11:46
    Energy-Efficient Spiking Neurons using Interlayer Tunneling Field-Effect Transistors. Ho et al.
    11:48-11:58
    Hardware–Software Co-Design for Event-Driven SNN Deployment on Low-Cost Neuromorphic FPGAs. Lee et al.
    12:00-13:30Lunch Break
    13:30-15:00Full/Short Talks (Session 8)
    13:30-13:50
    Optimization of Emerging Analog Compute Systems with Shem. Wang & Achour.
    13:52-14:12
    Temporal Sparse Die-to-Die Communication in Heterogeneous Neuromorphic Systems. Nardone et al.
    14:14-14:34
    Cross-Layer Analysis of Permanent Faults in Asynchronous NoCs for Neuromorphic Computing. Chessa et al.
    14:36-14:46
    HiRo: A Compact Four-Directional Hierarchical Reservoir Token-Mixer for Efficient Image Classification. Islam, Thakkar & Hastings.
    14:48-15:00Tutorial Preview Talks
    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.