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Volume 34, Issue 4
April 2022
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Articles

Bayesian Brains and the Rényi Divergence
Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber ...
Neural Computation (2022) 34 (4): 829–855.
View articletitled, Bayesian Brains and the Rényi Divergence
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Formulation and Emulation of Quantum-Inspired Dynamical Systems With Classical Analog Circuits
A. J. Cressman, W. Wattanapanitch, I. Chuang, R. Sarpeshkar
Neural Computation (2022) 34 (4): 856–890.
View articletitled, Formulation and Emulation of Quantum-Inspired Dynamical Systems With Classical Analog Circuits
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Neural Circuits for Dynamics-Based Segmentation of Time Series
Tiberiu Teşileanu, Siavash Golkar, Samaneh Nasiri, Anirvan M. Sengupta, Dmitri B. Chklovskii
Neural Computation (2022) 34 (4): 891–938.
View articletitled, Neural Circuits for Dynamics-Based Segmentation of Time Series
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Letters

Parameter Identification Problem in the Hodgkin-Huxley Model
Jemy A. Mandujano Valle, Alexandre L. Madureira
Neural Computation (2022) 34 (4): 939–970.
View articletitled, Parameter Identification Problem in the Hodgkin-Huxley Model
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Adaptive Learning Neural Network Method for Solving Time–Fractional Diffusion Equations
Babak Shiri, Hua Kong, Guo-Cheng Wu, Cheng Luo
Neural Computation (2022) 34 (4): 971–990.
View articletitled, Adaptive Learning Neural Network Method for Solving Time–Fractional Diffusion Equations
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Understanding Dynamics of Nonlinear Representation Learning and Its Application
Kenji Kawaguchi, Linjun Zhang, Zhun Deng
Neural Computation (2022) 34 (4): 991–1018.
View articletitled, Understanding Dynamics of Nonlinear Representation Learning and Its Application
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Comparison of the Representational Power of Random Forests, Binary Decision Diagrams, and Neural Networks
So Kumano, Tatsuya Akutsu
Neural Computation (2022) 34 (4): 1019–1044.
View articletitled, Comparison of the Representational Power of Random Forests, Binary Decision Diagrams, and Neural Networks
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Research on Imbalanced Data Classification Based on Classroom-Like Generative Adversarial Networks
Yancheng Lv, Lin Lin, Jie Liu, Hao Guo, Changsheng Tong
Neural Computation (2022) 34 (4): 1045–1073.
View articletitled, Research on Imbalanced Data Classification Based on Classroom-Like Generative Adversarial Networks
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