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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
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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
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