Showing 1–20 of 51 results
/ Date/ Name
Mar 17, 2017Pattern representation and recognition with accelerated analog neuromorphic systemsAug 3, 2023Learning beyond sensations: how dreams organize neuronal representationsDec 20, 2022Learning efficient backprojections across cortical hierarchies in real timeFeb 26, 2024ELiSe: Efficient Learning of Sequences in Structured Recurrent NetworksApr 27, 2021Conductance-based dendrites perform Bayes-optimal cue integrationOct 27, 2021Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neuronsSep 30, 2021Variational learning of quantum ground states on spiking neuromorphic hardwareApr 10, 2023NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and SystemsDec 31, 2023Emulating insect brains for neuromorphic navigationSep 9, 2021Learning cortical representations through perturbed and adversarial dreamingFeb 16, 2021The Yin-Yang datasetJun 19, 2020Cortical oscillations implement a backbone for sampling-based computation in spiking neural networksDec 27, 2019Structural plasticity on an accelerated analog neuromorphic hardware systemSep 21, 2018Stochasticity from function -- why the Bayesian brain may need no noiseJul 6, 2018Accelerated physical emulation of Bayesian inference in spiking neural networksAug 29, 2023Gradient-based methods for spiking physical systemsSep 27, 2023Confidence and second-order errors in cortical circuitsApr 29, 2014Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling PlatformsJan 28, 2022DELAUNAY: a dataset of abstract art for psychophysical and machine learning researchFeb 8, 2021Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming