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Neural Computation|November 8, 2014
Efficient training of convolutional deep belief networks in the frequency domain for application to high-resolution 2D and 3D imagesTom Brosch, Roger TamNeural Computation|January 18, 2020
Evaluating the Potential Gain of Auditory and Audiovisual Speech-Predictive Coding Using Deep LearningThomas Hueber, Eric Tatulli, Laurent Girin, et al.Neural Computation|November 9, 2019
Optimal Sampling of Parametric Families: Implications for Machine LearningAdrian E G Huber, Jithendar Anumula, Shih-Chii LiuNeural Computation|November 9, 2019
Iterative Retrieval and Block Coding in Autoassociative and Heteroassociative MemoryAndreas Knoblauch, Günther PalmNeural Computation|November 9, 2019
A Continuous-Time Analysis of Distributed Stochastic GradientNicholas M Boffi, Jean-Jacques E SlotineNeural Computation|January 18, 2018
Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron DataDorian Florescu, Daniel CocaNeural Computation|July 19, 2021
Restricted Boltzmann Machines as Models of Interacting VariablesNicola Bulso, Yasser RoudiNeural Computation|July 19, 2021
Multibranch Formal Neuron: An Internally Nonlinear Learning UnitMarifi GülerNeural Computation|July 19, 2021
Statistical Properties of Color Matching FunctionsMaría da Fonseca, Inés SamengoNeural Computation|July 19, 2021
Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty SeekerThéophile Champion, Marek Grześ, Howard BowmanPageof 301