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Neural Computation|August 28, 2018
Autoregressive Point Processes as Latent State-Space Models: A Moment-Closure Approach to Fluctuations and AutocorrelationsMichael Rule, Guido SanguinettiNeural Computation|August 28, 2018
Improving Stock Closing Price Prediction Using Recurrent Neural Network and Technical IndicatorsTingwei Gao, Yueting ChaiNeural Computation|August 28, 2018
A Simple Model for Low Variability in Neural Spike TrainsUlisse Ferrari, Stéphane Deny, Olivier Marre, et al.Neural Computation|October 16, 2019
Replicating Neuroscience Observations on ML/MF and AM Face Patches by Deep Generative ModelTian Han, Xianglei Xing, Jiawen Wu, et al.Neural Computation|April 10, 2023
Deep Learning Solution of the Eigenvalue Problem for Differential OperatorsIdo Ben-Shaul, Leah Bar, Dalia Fishelov, et al.Neural Computation|April 10, 2023
Sensitivity to Control Signals in Triphasic Rhythmic Neural Systems: A Comparative Mechanistic Analysis via Infinitesimal Local Timing Response CurvesZhuojun Yu, Jonathan E Rubin, Peter J ThomasNeural Computation|March 17, 2015
Learning dynamics of a single polar variable complex-valued neuronTohru NittaNeural Computation|August 16, 2020
Binless Kernel Machine: Modeling Spike Train Transformation for Cognitive Neural ProsthesesCunle Qian, Xuyun Sun, Yueming Wang, et al.Neural Computation|August 16, 2020
Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region EstimationYu Inatsu, Masayuki Karasuyama, Keiichi Inoue, et al.Neural Computation|August 16, 2020
A Predictive-Coding Network That Is Both Discriminative and GenerativeWei Sun, Jeff OrchardPageof 299