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Neural Computation|March 23, 2013
New supervised learning theory applied to cerebellar modeling for suppression of variability of saccade end pointsMasahiko FujitaNeural Computation|March 23, 2013
Simple neural-like p systems for maximal independent set selectionLei Xu, Peter JeavonsNeural Computation|March 23, 2013
Efficient sample reuse in policy gradients with parameter-based explorationTingting Zhao, Hirotaka Hachiya, Voot Tangkaratt, et al.Neural Computation|January 7, 2016
A Block Successive Lower-Bound Maximization Algorithm for the Maximum Pseudo-Likelihood Estimation of Fully Visible Boltzmann MachinesHien D Nguyen, Ian A WoodNeural Computation|May 13, 2016
Learning Visual Spatial Pooling by Strong PCA Dimension ReductionHaruo Hosoya, Aapo HyvärinenNeural Computation|February 19, 2016
Optimal Schedules in Multitask Motor LearningJeong Yoon Lee, Youngmin Oh, Sung Shin Kim, et al.Neural Computation|February 19, 2016
Sampled-Data State Feedback Stabilization of Boolean Control NetworksYang Liu, Jinde Cao, Liangjie Sun, et al.Neural Computation|February 19, 2016
Downstream Effect of Ramping Neuronal Activity through Synapses with Short-Term PlasticityWei Wei, Xiao-Jing WangNeural Computation|February 19, 2016
Vector Symbolic Spiking Neural Network Model of Hippocampal Subarea CA1 Novelty Detection FunctionalityClaus AgerskovNeural Computation|February 19, 2016
Feature Selection for Ridge Regression with Provable GuaranteesSaurabh Paul, Petros DrineasPageof 299