Showing 1–20 of 25 results
/ Date/ Name
Jul 17, 2017A probabilistic model for learning in cortical microcircuit motifs with data-based divisive inhibitionMay 22, 2017Feedback inhibition shapes emergent computational properties of cortical microcircuit motifsMay 23, 2022Memory-enriched computation and learning in spiking neural networks through Hebbian plasticityNov 11, 2016A model for structured information representation in neural networksApr 22, 2024Learning-to-learn enables rapid learning with phase-change memory-based in-memory computingMar 26, 2018Long short-term memory and learning-to-learn in networks of spiking neuronsJun 19, 2020Cortical oscillations implement a backbone for sampling-based computation in spiking neural networksJan 25, 2019Biologically inspired alternatives to backpropagation through time for learning in recurrent neural netsMar 17, 2017Pattern representation and recognition with accelerated analog neuromorphic systemsApr 20, 2015Network Plasticity as Bayesian InferenceMay 16, 2025Privacy-Aware Lifelong LearningNov 15, 2023Adversarially Robust Spiking Neural Networks Through ConversionApr 8, 2021Many-Joint Robot Arm Control with Recurrent Spiking Neural NetworksNov 14, 2017Deep Rewiring: Training very sparse deep networksMar 6, 2017Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale SystemFeb 27, 2013Integration of nanoscale memristor synapses in neuromorphic computing architecturesJul 29, 2022Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion ModelsMar 20, 2019Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 PrototypeMar 20, 2019Fast learning synapses with molecular spin valves via selective magnetic potentiationApr 13, 2017A dynamic connectome supports the emergence of stable computational function of neural circuits through reward-based learning