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ORCIDNeural Computation, Volume 36
Volume 36, Number 1, January 2024
- Rajesh P. N. Rao, Dimitrios C. Gklezakos, Vishwas Sathish:
Active Predictive Coding: A Unifying Neural Model for Active Perception, Compositional Learning, and Hierarchical Planning. 1-32 - Salman Khan, Alexander Wong, Bryan P. Tripp
:
Modeling the Role of Contour Integration in Visual Inference. 33-74 - Anca Radulescu, Danae Evans, Amani-Dasia Augustin, Anthony Cooper, Johan Nakuci, Sarah Muldoon:
Synchronization and Clustering in Complex Quadratic Networks. 75-106
- Anru R. Zhang, Ryan P. Bell, Chen An, Runshi Tang, Shana A. Hall, Cliburn Chan, Kareem Al-Khalil, Christina S. Meade:
Cocaine Use Prediction With Tensor-Based Machine Learning on Multimodal MRI Connectome Data. 107-127 - Yusuke Endo, Koujin Takeda:
Performance Evaluation of Matrix Factorization for fMRI Data. 128-150 - Daniel Kunin, Javier Sagastuy-Breña, Lauren Gillespie, Eshed Margalit, Hidenori Tanaka, Surya Ganguli, Daniel L. K. Yamins:
The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion. 151-174
Volume 36, Number 2, February 2024
- C. Daniel Greenidge, Benjamin Scholl, Jacob L. Yates, Jonathan W. Pillow:
Efficient Decoding of Large-Scale Neural Population Responses With Gaussian-Process Multiclass Regression. 175-226
- Joan Gort:
Emergence of Universal Computations Through Neural Manifold Dynamics. 227-270 - Jan Karbowski, Paulina Urban:
Cooperativity, Information Gain, and Energy Cost During Early LTP in Dendritic Spines. 271-311 - Kota Kawamoto, Masato Uchida:
Q&A Label Learning. 312-349
Volume 36, Number 3, March 2024
- Claus Metzner, Marius E. Yamakou, Dennis Voelkl, Achim Schilling, Patrick Krauss:
Quantifying and Maximizing the Information Flux in Recurrent Neural Networks. 351-384
- Daisuke Kawahara, Shigeyoshi Fujisawa:
Advantages of Persistent Cohomology in Estimating Animal Location From Grid Cell Population Activity. 385-411 - Hamid Karimi-Rouzbahani:
Evidence for Multiscale Multiplexed Representation of Visual Features in EEG. 412-436 - Aditi Jha, Zoe C. Ashwood, Jonathan W. Pillow:
Active Learning for Discrete Latent Variable Models. 437-474 - Zhiwei Fang, Sifan Wang, Paris Perdikaris:
Learning Only on Boundaries: A Physics-Informed Neural Operator for Solving Parametric Partial Differential Equations in Complex Geometries. 475-498
Volume 36, Number 4, April 2024
- Satoshi Kuroki, Kenji Mizuseki:
CA3 Circuit Model Compressing Sequential Information in Theta Oscillation and Replay. 501-548 - Madison Cotteret, Hugh Greatorex, Martin Ziegler, Elisabetta Chicca:
Vector Symbolic Finite State Machines in Attractor Neural Networks. 549-595 - Vidyesh Rao Anisetti, Ananth Kandala, Benjamin Scellier, J. M. Schwarz:
Frequency Propagation: Multimechanism Learning in Nonlinear Physical Networks. 596-620 - Xu Pan, Ruben Coen Cagli, Odelia Schwartz:
Probing the Structure and Functional Properties of the Dropout-Induced Correlated Variability in Convolutional Neural Networks. 621-644
- Alireza Poshtkohi, John J. Wade, Liam McDaid, Junxiu Liu, Mark Dallas, Angela Bithell:
Mathematical Modeling of PI3K/Akt Pathway in Microglia. 645-676 - Toon Van de Maele, Tim Verbelen, Pietro Mazzaglia, Stefano Ferraro, Bart Dhoedt:
Object-Centric Scene Representations Using Active Inference. 677-704 - Garrett Crutcher:
Lateral Connections Improve Generalizability of Learning in a Simple Neural Network. 705-717 - Zhiying Fang, Tong Mao, Jun Fan:
Learning Korobov Functions by Correntropy and Convolutional Neural Networks. 718-743 - Seong-il Im, Jae-Seung Jeong, Junseo Lee, Changhwan Shin, Jeong Ho Cho, Hyunsu Ju:
Column Row Convolutional Neural Network: Reducing Parameters for Efficient Image Processing. 744-758
Volume 36, Number 5, May 2024
- Beck Strohmer, Elias Najarro, Jessica Ausborn, Rune W. Berg, Silvia Tolu:
Sparse Firing in a Hybrid Central Pattern Generator for Spinal Motor Circuits. 759-780 - Mohammad Samavat, Thomas M. Bartol, Kristen M. Harris, Terrence J. Sejnowski:
Synaptic Information Storage Capacity Measured With Information Theory. 781-802 - William F. Podlaski, Christian K. Machens:
Approximating Nonlinear Functions With Latent Boundaries in Low-Rank Excitatory-Inhibitory Spiking Networks. 803-857
- Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan:
Toward Improving the Generation Quality of Autoregressive Slot VAEs. 858-896 - Bin Gu, Xiyuan Wei, Hualin Zhang, Yi Chang, Heng Huang:
Obtaining Lower Query Complexities Through Lightweight Zeroth-Order Proximal Gradient Algorithms. 897-935 - Guanyu Yang, Kaizhu Huang, Rui Zhang, Xi Yang:
Instance-Specific Model Perturbation Improves Generalized Zero-Shot Learning. 936-962 - Zhengquan Zhang, Feng Xu:
An Overview of the Free Energy Principle and Related Research. 963-1021 - BethAnna Jones, Lawrence Snyder, ShiNung Ching:
Heterogeneous Forgetting Rates and Greedy Allocation in Slot-Based Memory Networks Promotes Signal Retention. 1022-1040
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