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Neural Computation|July 11, 2023
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Modeling of Multiway Data on GraphsYao Lei Xu, Kriton Konstantinidis, Danilo P MandicNeural Computation|July 12, 2023
Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent PlasticityBenoit Duchet, Christian Bick, Áine ByrneNeural Computation|July 31, 2023
Exploring Trade-Offs in Spiking Neural NetworksFlorian Bacho, Dominique ChuNeural Computation|September 19, 2023
Reducing Catastrophic Forgetting With Associative Learning: A Lesson From Fruit FliesYang Shen, Sanjoy Dasgupta, Saket NavlakhaNeural Computation|September 19, 2023
A Tutorial on the Spectral Theory of Markov ChainsEddie Seabrook, Laurenz WiskottNeural Computation|April 28, 2026
Global Stability of a Hebbian/Anti-Hebbian Network for Principal Subspace LearningDavid Lipshutz, Robert J LipshutzNeural Computation|April 28, 2026
Comparing Dynamical Models Through Diffeomorphic Vector Field AlignmentRuiqi Chen, Giacomo Vedovati, Todd Braver, et al.Neural Computation|April 7, 2026
Signal-Dependent Planning Noise Reduces Task Interference by Assisting in the Formation of Stable Motor Primitives in a Neural Network Model of Muscle Coordination LearningDaniel W Feng, David J Reinkensmeyer, Juan C Perez-IbarraNeural Computation|April 7, 2026
Similarity Matching Networks: Hebbian Learning and Convergence Over Multiple Time ScalesVeronica Centorrino, Francesco Bullo, Giovanni RussoNeural Computation|April 28, 2026
Domain Adaptation With Additional Features via Label-Aware and Graph-Based Fused Gromov-Wasserstein Optimal TransportToshimitsu Aritake, Hideitsu HinoPageof 301