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Neural Computation|June 1, 2014
Information-theoretic semi-supervised metric learning via entropy regularizationGang Niu, Bo Dai, Makoto Yamada, et al.Neural Computation|October 2, 2012
Computing sparse representations of multidimensional signals using Kronecker basesCesar F Caiafa, Andrzej CichockiNeural Computation|April 1, 2015
Homeostatic plasticity for single node delay-coupled reservoir computingHazem Toutounji, Johannes Schumacher, Gordon PipaNeural Computation|November 15, 2012
Stochastic optimal control as a theory of brain-machine interface operationManuel Lagang, Lakshminarayan SrinivasanNeural Computation|February 24, 2023
Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing TasksChloe N Winston, Dana Mastrovito, Eric Shea-Brown, et al.Neural Computation|February 24, 2023
Formal Verification of Deep Brain Stimulation Controllers for Parkinson's Disease TreatmentArooj Nawaz, Osman Hasan, Shaista JabeenNeural Computation|May 21, 2020
A Model for the Study of the Increase in Stimulus and Change Point Detection with Small and Variable Spiking DelaysBenjamin Straub, Gaby SchneiderNeural Computation|May 21, 2020
Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common NoisePratik S Sachdeva, Jesse A Livezey, Michael R DeWeeseNeural Computation|May 21, 2020
Generation of Scale-Invariant Sequential Activity in Linear Recurrent NetworksYue Liu, Marc W HowardNeural Computation|September 2, 2021
Expansion of Information in the Binary Autoencoder With Random Binary WeightsViacheslav M OsaulenkoPageof 299