Showing 1–20 of 27 results
/ Date/ Name
Jun 9, 2021Vector Symbolic Architectures as a Computing Framework for Emerging HardwareDec 14, 2020Perceptron Theory Can Predict the Accuracy of Neural NetworksApr 27, 2020Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki SpringsOct 7, 2020Cellular Automata Can Reduce Memory Requirements of Collective-State ComputingJun 1, 2017Integer Echo State Networks: Efficient Reservoir Computing for Digital HardwareFeb 24, 2015The Imaging Computational MicroscopeSep 14, 2020Variable Binding for Sparse Distributed Representations: Theory and ApplicationsMar 23, 2023Learning and generalization of compositional representations of visual scenesFeb 28, 2018A theory of sequence indexing and working memory in recurrent neural networksSep 5, 2022Visual Odometry with Neuromorphic Resonator NetworksMar 23, 2026Generalized multi-object classification and tracking with sparse feature resonator networksMay 26, 2023Efficient Decoding of Compositional Structure in Holistic RepresentationsJun 19, 2019Resonator Networks outperform optimization methods at solving high-dimensional vector factorizationSep 19, 2019Density Encoding Enables Resource-Efficient Randomly Connected Neural NetworksSep 8, 2021Computing on Functions Using Randomized Vector RepresentationsApr 1, 2022Deep Learning in Spiking Phasor Neural NetworksMar 2, 2022Integer Factorization with Compositional Distributed RepresentationsJan 23, 2019Robust computation with rhythmic spike patternsJul 7, 2020Resonator networks for factoring distributed representations of data structuresNov 5, 2021Efficient Neuromorphic Signal Processing with Loihi 2