Showing 1–18 of 18 results
/ Date/ Name
Jul 26, 2024The Role of Temporal Hierarchy in Spiking Neural NetworksFeb 4, 2026Real-time processing of analog signals on accelerated neuromorphic hardwareJul 2, 2025mGRADE: Minimal Recurrent Gating Meets Delay Convolutions for Lightweight Sequence ModelingFeb 16, 2021The Yin-Yang datasetMay 13, 2025MINIMALIST: switched-capacitor circuits for efficient in-memory computation of gated recurrent unitsApr 30, 2024DelGrad: Exact event-based gradients for training delays and weights on spiking neuromorphic hardwareApr 29, 2026NORACL: Neurogenesis for Oracle-free Resource-Adaptive Continual LearningDec 20, 2022Learning efficient backprojections across cortical hierarchies in real timeFeb 26, 2024ELiSe: Efficient Learning of Sequences in Structured Recurrent NetworksAug 29, 2023Gradient-based methods for spiking physical systemsMar 21, 2017An Accelerated Analog Neuromorphic Hardware System Emulating NMDA- and Calcium-Based Non-Linear DendritesOct 27, 2021Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neuronsAug 18, 2025Synchronization and semantization in deep spiking networksJun 14, 2025Quantizing Small-Scale State-Space Models for Edge AIApr 10, 2023NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and SystemsApr 5, 2018A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic CoresDec 24, 2019Fast and energy-efficient neuromorphic deep learning with first-spike timesMar 25, 2024Backpropagation through space, time, and the brain