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Neural Computation|June 7, 2019
Weight Perturbation: An Optimal Architecture and Learning Technique for Analog VLSI Feedforward and Recurrent Multilayer NetworksMarwan Jabri, Barry FlowerNeural Computation|March 1, 2022
Understanding the Computational Demands Underlying Visual ReasoningMohit Vaishnav, Remi Cadene, Andrea Alamia, et al.Neural Computation|March 28, 2022
On Neural Network Kernels and the Storage Capacity ProblemJacob A Zavatone-Veth, Cengiz PehlevanNeural Computation|March 28, 2022
eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data ProblemsEdoardo Vecchi, Lukáš Pospíšil, Steffen Albrecht, et al.Neural Computation|October 14, 2018
Bayesian Modeling of Motion Perception Using Dynamical Stochastic TexturesJonathan Vacher, Andrew Isaac Meso, Laurent U Perrinet, et al.Neural Computation|September 15, 2018
Tensor Representation of Topographically Organized Semantic SpacesAndrés Pomi, Eduardo Mizraji, Juan LinNeural Computation|August 28, 2018
Learning Data Manifolds with a Cutting Plane MethodSueYeon Chung, Uri Cohen, Haim Sompolinsky, et al.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 ChaiPageof 301