Showing 1–20 of 58 results
/ Date/ Name
May 5, 2023Hardware in Loop Learning with Spin Stochastic NeuronsSep 27, 2022Leveraging Voltage-Controlled Magnetic Anisotropy to Solve Sneak Path Issues in Crossbar ArraysJul 1, 2020Emulation of Astrocyte Induced Neural Phase Synchrony in Spin-Orbit Torque Oscillator NeuronsNov 7, 2017Encoding Neural and Synaptic Functionalities in Electron Spin: A Pathway to Efficient Neuromorphic ComputingMay 4, 2024Scaling SNNs Trained Using Equilibrium Propagation to Convolutional ArchitecturesJul 15, 2017Stochastic Spin-Orbit Torque Devices as Elements for Bayesian InferenceNov 17, 2019Stochastic Magnetoelectric Neuron for Temporal Information EncodingMay 15, 2016Probabilistic Deep Spiking Neural Systems Enabled by Magnetic Tunnel JunctionFeb 1, 2024Benchmarking Spiking Neural Network Learning Methods with Varying LocalityFeb 24, 2020Exploring the Connection Between Binary and Spiking Neural NetworksAug 21, 2025Scalable Equilibrium Propagation via Intermediate Error Signals for Deep Convolutional CRNNsFeb 7, 2018Going Deeper in Spiking Neural Networks: VGG and Residual ArchitecturesDec 19, 2014Spin-Orbit Torque Induced Spike-Timing Dependent PlasticitySep 8, 2020On the Self-Repair Role of Astrocytes in STDP Enabled Unsupervised SNNsApr 26, 2024Stochastic Spiking Neural Networks with First-to-Spike CodingDec 24, 2023Variation-Resilient FeFET-Based In-Memory Computing Leveraging Probabilistic Deep LearningSep 27, 2022Hybrid Stochastic Synapses Enabled by Scaled Ferroelectric Field-effect TransistorsSep 30, 2022Leveraging Probabilistic Switching in Superparamagnets for Temporal Information Encoding in Neuromorphic SystemsJul 8, 2023Deep Unsupervised Learning Using Spike-Timing-Dependent PlasticityNov 14, 2025StochEP: Stochastic Equilibrium Propagation for Spiking Convergent Recurrent Neural Networks