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Neural Computation|January 29, 2021
Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and PredictionNicholas M Boffi, Jean-Jacques E SlotineNeural Computation|August 18, 2005
Coding of temporally varying signals in networks of spiking neurons with global delayed feedbackNaoki Masuda, Brent Doiron, André Longtin, et al.Neural Computation|November 23, 2017
Feedforward Approximations to Dynamic Recurrent Network ArchitecturesDylan R MuirNeural Computation|June 22, 2026
DROP: Distributional and Regular Optimism and Pessimism for Reinforcement LearningTaisuke KobayashiNeural Computation|May 20, 2005
Synchronized firings in the networks of class 1 excitable neurons with excitatory and inhibitory connections and their dependences on the forms of interactionsTakashi Kanamaru, Masatoshi SekineNeural Computation|August 14, 2026
Teaching Signal Synchronization in Deep Neural Networks with Prospective NeuronsNicolas Zucchet, Qianqian Feng, Axel Laborieux, et al.Neural Computation|September 22, 2026
Associative Emotional Learning in Convolutional Neural NetworksSeowung Leem, Andreas Keil, Mingzhou Ding, et al.Neural Computation|October 9, 2026
Efficient Exact Gaussian Process Inference via Incremental Block-Matrix Identity UpdatesBrooks M Musangu, Jan DrugowitschNeural Computation|November 23, 2022
Neuromorphic Engineering: In Memory of Misha MahowaldCarver MeadNeural Computation|December 21, 2022
How to Represent Part-Whole Hierarchies in a Neural NetworkGeoffrey HintonPageof 301