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Neural Computation|February 4, 2026
Reframing the Expected Free Energy: Four Formulations and a UnificationThéophile Champion, Howard Bowman, Dimitrije Marković, et al.Neural Computation|February 4, 2026
Object Detection, Recognition, Deep Learning, and the Universal Law of GeneralizationFaris B Rustom, Rohan Sharma, Haluk Öğmen, et al.Neural Computation|December 10, 2025
Sum-of-Norms Regularized Nonnegative Matrix FactorizationAndersen Ang, Waqas Bin Hamed, Hans De SterckNeural Computation|January 9, 2025
Improving Recall in Sparse Associative Memories That Use NeurogenesisKaty Warr, Jonathon Hare, David ThomasNeural Computation|December 5, 2023
Performance Evaluation of Matrix Factorization for fMRI DataYusuke Endo, Koujin TakedaNeural Computation|December 15, 2023
Cooperativity, Information Gain, and Energy Cost During Early LTP in Dendritic SpinesJan Karbowski, Paulina UrbanNeural Computation|September 23, 2024
ℓ 1 -Regularized ICA: A Novel Method for Analysis of Task-Related fMRI DataYusuke Endo, Koujin TakedaNeural Computation|March 8, 2024
Toward Improving the Generation Quality of Autoregressive Slot VAEsPatrick Emami, Pan He, Sanjay Ranka, et al.Neural Computation|March 8, 2024
Lateral Connections Improve Generalizability of Learning in a Simple Neural NetworkGarrett CrutcherNeural Computation|March 8, 2024
Frequency Propagation: Multimechanism Learning in Nonlinear Physical NetworksVidyesh Rao Anisetti, Ananth Kandala, Benjamin Scellier, et al.Pageof 301