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Neural Computation - Volume 36 / Issue 9

Title
Authors Volume Issue Page Year PKV
Hebbian Descent: A Unified View on Log-Likelihood Learning
Jan Melchior, Robin Schiewer, Laurenz Wiskott 36 9 1669–1712 2024 45.76
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Human Eyes–Inspired Recurrent Neural Networks Are More Robust Against Adversarial Noises
Minkyu Choi, Yizhen Zhang, Kuan Han, Xiaokai Wang, Zhongming Liu 36 9 1713–1743 2024 31.54
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Manifold Gaussian Variational Bayes on the Precision Matrix
Martin Magris, Mostafa Shabani, Alexandros Iosifidis 36 9 1744–1798 2024 39.02
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On the Search for Data-Driven and Reproducible Schizophrenia Subtypes Using Resting State fMRI Data From Multiple Sites
Lærke Gebser Krohne, Ingeborg Helbech Hansen, Kristoffer H. Madsen 36 9 1799–1831 2024 18.89
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Spontaneous Emergence of Robustness to Light Variation in CNNs With a Precortically Inspired Module
J. Petkovic, R. Fioresi 36 9 1832–1853 2024 30.32
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Intrinsic Rewards for Exploration Without Harm From Observational Noise: A Simulation Study Based on the Free Energy Principle
Theodore Jerome Tinker, Kenji Doya, Jun Tani 36 9 1854–1885 2024 22.55
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Efficient Hyperdimensional Computing With Spiking Phasors
Jeff Orchard, P. Michael Furlong, Kathryn Simone 36 9 1886–1911 2024 27.41
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UAdam: Unified Adam-Type Algorithmic Framework for Nonconvex Optimization
Yiming Jiang, Jinlan Liu, Dongpo Xu, Danilo P. Mandic 36 9 1912–1938 2024 39.85
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