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Neural Computation|March 9, 2013
Impact of spike train autostructure on probability distribution of joint spike eventsGordon Pipa, Sonja Grün, Carl van VreeswijkNeural Computation|August 24, 2014
A hierarchical adaptive approach to optimal experimental designWoojae Kim, Mark A Pitt, Zhong-Lin Lu, et al.Neural Computation|June 22, 2026
A Hidden Markov Model-Inspired Sequence Classification Method for Hyperdimensional ComputingKrzysztof Ślot, Jakub Bednarski, Kacper Kubicki, et al.Neural Computation|May 31, 2019
Organization of Binocular Pathways: Modeling and Data Related to RivalrySidney R Lehky, Randolph BlakeNeural Computation|July 27, 2026
Cross-Frequency Coupling as a Neural Substrate for Prediction Error Evaluation: A Laminar Neural Mass Modeling ApproachGiulio Ruffini, Edmundo Lopez-Sola, Raul Palma, et al.Neural Computation|July 31, 2026
Neuronal Spike Trains as Functional-Analytic Distributions: Representation, Analysis, and SignificanceGabriel A SilvaNeural Computation|August 14, 2026
Twin Network Augmentation: A Novel Training Strategy for Improved Spiking Neural Networks and Weight QuantizationLucas Deckers, Benjamin Vandersmissen, Ing Jyh Tsang, et al.Neural Computation|June 14, 2003
New conditions on global stability of Cohen-Grossberg neural networksWenlian Lu, Tianping ChenNeural Computation|September 10, 2003
Computing with populations of monotonically tuned neuronsEmmanuel GuigonNeural Computation|October 23, 2010
A graphical model framework for decoding in the visual ERP-based BCI spellerS M M Martens, J M Mooij, N J Hill, et al.Pageof 300