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Neural Computation - Volume 36 / Issue 4

Title
Authors Volume Issue Page Year PKV
CA3 Circuit Model Compressing Sequential Information in Theta Oscillation and Replay
Satoshi Kuroki, Kenji Mizuseki 36 4 501–548 2024 7.52
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Vector Symbolic Finite State Machines in Attractor Neural Networks
Madison Cotteret, Hugh Greatorex, Martin Ziegler, Elisabetta Chicca 36 4 549–595 2024 19.23
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Frequency Propagation: Multimechanism Learning in Nonlinear Physical Networks
Vidyesh Rao Anisetti, Ananth Kandala, Benjamin Scellier, J. M. Schwarz 36 4 596–620 2024 14.67
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Probing the Structure and Functional Properties of the Dropout-Induced Correlated Variability in Convolutional Neural Networks
Xu Pan, Ruben Coen-Cagli, Odelia Schwartz 36 4 621–644 2024 28.46
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Mathematical Modeling of PI3K/Akt Pathway in Microglia
Alireza Poshtkohi, John Wade, Liam McDaid, Junxiu Liu, Mark L. Dallas 36 4 645–676 2024 18.37
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Object-Centric Scene Representations Using Active Inference
Toon Van de Maele, Tim Verbelen, Pietro Mazzaglia, Stefano Ferraro, Bart Dhoedt 36 4 677–704 2024 15.35
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Lateral Connections Improve Generalizability of Learning in a Simple Neural Network
Garrett Crutcher 36 4 705–717 2024 15.67
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Learning Korobov Functions by Correntropy and Convolutional Neural Networks
Zhiying Fang, Tong Mao, Jun Fan 36 4 718–743 2024 22.21
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Column Row Convolutional Neural Network: Reducing Parameters for Efficient Image Processing
Seongil Im, Jae-Seung Jeong, Junseo Lee, Changhwan Shin, Jeong Ho Cho 36 4 744–758 2024 24.44
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