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Neural Computation - 巻 33 / 号 2

タイトル
著者 巻 号 ページ 年 PKV
Learning in Volatile Environments With the Bayes Factor Surprise
Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea 33 2 269–340 2021 17.97
平均評価: 0.0 / 5 (0 件のレビュー)
Enhanced Signal Detection by Adaptive Decorrelation of Interspike Intervals
William H. Nesse, Leonard Maler, André Longtin 33 2 341–375 2021 19.16
平均評価: 0.0 / 5 (0 件のレビュー)
Predicting the Ease of Human Category Learning Using Radial Basis Function Networks
Brett D. Roads, Michael C. Mozer 33 2 376–397 2021 17.93
平均評価: 0.0 / 5 (0 件のレビュー)
Deeply Felt Affect: The Emergence of Valence in Deep Active Inference
Casper Hesp, Ryan Smith, Thomas Parr, Micah Allen, Karl J. Friston 33 2 398–446 2021 20.78
平均評価: 0.0 / 5 (0 件のレビュー)
Whence the Expected Free Energy?
Beren Millidge, Alexander Tschantz, Christopher L. Buckley 33 2 447–482 2021 20.08
平均評価: 0.0 / 5 (0 件のレビュー)
Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes
Asieh Abolpou Mofrad, Anis Yazidi, Samaneh Abolpour Mofrad, Hugo L. Hammer, Erik Arntzen 33 2 483–527 2021 20.1
平均評価: 0.0 / 5 (0 件のレビュー)
A Novel Neural Model With Lateral Interaction for Learning Tasks
Dequan Jin, Ziyan Qin, Murong Yang, Penghe Chen 33 2 528–551 2021 14.24
平均評価: 0.0 / 5 (0 件のレビュー)
Stability Conditions of Bicomplex-Valued Hopfield Neural Networks
Masaki Kobayashi 33 2 552–562 2021 22.72
平均評価: 0.0 / 5 (0 件のレビュー)