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Neural Computation|November 30, 2020
A Novel Neural Model With Lateral Interaction for Learning TasksDequan Jin, Ziyan Qin, Murong Yang, et al.Neural Computation|January 13, 2022
Predicting the Future With a Scale-Invariant Temporal Memory for the PastWei Zhong Goh, Varun Ursekar, Marc W HowardNeural Computation|November 22, 2018
Fixed Points of Competitive Threshold-Linear NetworksCarina Curto, Jesse Geneson, Katherine MorrisonNeural Computation|November 22, 2018
Supervised Dimensionality Reduction on Grassmannian for Image Set RecognitionTianci Liu, Zelin Shi, Yunpeng LiuNeural Computation|February 16, 2019
Filtering Compensation for Delays and Prediction Errors during Sensorimotor ControlF Crevecoeur, M GeversNeural Computation|November 10, 2021
Nonconvex Sparse Regularization for Deep Neural Networks and Its OptimalityIlsang Ohn, Yongdai KimNeural Computation|November 10, 2021
Bridging the Functional and Wiring Properties of V1 Neurons Through Sparse CodingXiaolin Hu, Zhigang ZengNeural Computation|November 10, 2021
A Normative Account of Confirmation Bias During Reinforcement LearningGermain Lefebvre, Christopher Summerfield, Rafal BogaczNeural Computation|November 10, 2021
Categorical Perception: A Groundwork for Deep LearningLaurent Bonnasse-Gahot, Jean-Pierre NadalNeural Computation|December 16, 2021
Bridging the Gap Between Neurons and Cognition Through Assemblies of NeuronsChristos H Papadimitriou, Angela D FriedericiPageof 299