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ORCIDNeural Computation, Volume 37
Volume 37, Number 1, 2024
- Christopher J. Kymn, Denis Kleyko
, Edward Paxon Frady, Connor Bybee, Pentti Kanerva, Friedrich T. Sommer, Bruno A. Olshausen:
Computing With Residue Numbers in High-Dimensional Representation. 1-37 - Gerrit Schmid, Sebastian Gottwald, Daniel A. Braun:
Bounded Rational Decision Networks With Belief Propagation. 76-127 - Michele Garibbo, Casimir J. H. Ludwig, Nathan F. Lepora, Laurence Aitchison:
Relating Human Error-Based Learning to Modern Deep RL Algorithms. 128-159 - Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi:
Selective Inference for Change Point Detection by Recurrent Neural Network. 160-192 - Max Dabagia, Christos H. Papadimitriou, Santosh S. Vempala:
Computation With Sequences of Assemblies in a Model of the Brain. 193-233
Volume 37, Number 2, 2025
- Liangjie Sun, Chenyao Wu, Wai-Ki Ching, Tatsuya Akutsu:
On the Compressive Power of Autoencoders With Linear and ReLU Activation Functions. 235-259 - Peilin Liu, Ding-Xuan Zhou:
Generalization Analysis of Transformers in Distribution Regression. 260-293 - Shintaro Nakamura, Masashi Sugiyama:
A Fast Algorithm for the Real-Valued Combinatorial Pure Exploration of the Multi-Armed Bandit. 294-310 - Daniele Lotito, Miriam Aquaro, Chiara Marullo:
Learning in Associative Networks Through Pavlovian Dynamics. 311-343 - Puyu Wang, Yunwen Lei, Di Wang, Yiming Ying, Ding-Xuan Zhou:
Generalization Guarantees of Gradient Descent for Shallow Neural Networks. 344-402
Volume 37, Number 3, 2025
- Huzi Cheng, Joshua W. Brown:
Replay as a Basis for Backpropagation Through Time in the Brain. 403-436 - Katy Warr, Jonathon Hare, David Thomas:
Improving Recall in Sparse Associative Memories That Use Neurogenesis. 437-480 - Zhichao Zhu, Yang Qi, Wenlian Lu, Zhigang Wang, Lu Cao, Jianfeng Feng:
Toward a Free-Response Paradigm of Decision Making in Spiking Neural Networks. 481-521 - Shogo Sagawa, Hideitsu Hino:
Gradual Domain Adaptation via Normalizing Flows. 522-568 - Brendan Lenfesty, Saugat Bhattacharyya, KongFatt Wong-Lin:
Uncovering Dynamical Equations of Stochastic Decision Models Using Data-Driven SINDy Algorithm. 569-587
Volume 37, Number 4, 2025
- Bruce P. Graham, Jim W. Kay, William A. Phillips:
Context-Sensitive Processing in a Model Neocortical Pyramidal Cell With Two Sites of Input Integration. 588-634 - Jhunlyn Lorenzo, Juan-Antonio Rico-Gallego, Stéphane Binczak, Sabir Jacquir:
Spiking Neuron-Astrocyte Networks for Image Recognition. 635-665 - Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett J. Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead:
Active Inference and Intentional Behavior. 666-700 - Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Francesca Di Patti, Diego Febbe, Lorenzo Giambagli, Duccio Fanelli:
Learning in Wilson-Cowan Model for Metapopulation. 701-741 - Yang He, Vassiliy Lubchenko:
Knowledge as a Breaking of Ergodicity. 742-792 - Hanna Pankka, Jaakko Lehtinen, Risto J. Ilmoniemi, Timo Roine:
Enhanced EEG Forecasting: A Probabilistic Deep Learning Approach. 793-814 - Ke Huang, Mingming Liu, Shujie Ma:
Nearly Optimal Learning Using Sparse Deep ReLU Networks in Regularized Empirical Risk Minimization With Lipschitz Loss. 815-870
Volume 37, Number 5, 2025
- Xi Zhang, Akshay Aravamudan, Georgios C. Anagnostopoulos:
A Generalized Time Rescaling Theorem for Temporal Point Processes. 871-885 - Shivaram Mani, Paul Hurley, André van Schaik, Travis Monk:
The Leaky Integrate-and-Fire Neuron Is a Change-Point Detector for Compound Poisson Processes. 926-956 - Cecilia Romaro, José Roberto Castilho Piqueira, Antonio Carlos Roque:
Adding Space to Random Networks of Spiking Neurons: A Method Based on Scaling the Network Size. 957-986 - Masato Sugino, Mai Tanaka, Kenta Shimba, Kiyoshi Kotani, Yasuhiko Jimbo:
Distributed Synaptic Connection Strength Changes Dynamics in a Population Firing Rate Model in Response to Continuous External Stimuli. 987-1009 - Jose Miguel Ramos, Luis Sa-Couto, Andreas Wichert:
Multilevel Data Representation for Training Deep Helmholtz Machines. 1010-1033 - Jiangsheng You, Chun-Yen Liu:
Reformulation of RBM to Unify Linear and Nonlinear Dimensionality Reduction. 1034-1055
Volume 37, Number 6, 2025
- Yujun Li, Tianhao Chu, Si Wu:
Dynamics of Continuous Attractor Neural Networks With Spike Frequency Adaptation. 1057-1101 - Lionel Kusch, Damien Depannemaecker, Alain Destexhe, Viktor K. Jirsa:
Dynamics and Bifurcation Structure of a Mean-Field Model of Adaptive Exponential Integrate-and-Fire Networks. 1102-1123 - Ville Karlsson, Joni Kämäräinen:
Neural Code Translation With LIF Neuron Microcircuits. 1124-1153 - Stefan Reimann:
Memory States From Almost Nothing: Representing and Computing in a Nonassociative Algebra. 1154-1170 - Yaodong Li, Jun Tan, Peilin Yang, Guoxu Zhou, Qibin Zhao:
Low-Rank, High-Order Tensor Completion via t- Product-Induced Tucker (tTucker) Decomposition. 1171-1192
Volume 37, Number 7, 2025
- Aleksandra Swietlicka:
A Survey on Artificial Neural Networks in Human - Robot Interaction. 1193-1255 - Thom Griffith, Sophie-Anne Baker, Nathan F. Lepora:
Decision Threshold Learning in the Basal Ganglia for Multiple Alternatives. 1256-1287 - Satoshi Kuroki, Kenji Mizuseki:
Excitation-Inhibition Balance Controls Synchronization in a Simple Model of Coupled Phase Oscillators. 1353-1372
Volume 37, Number 8, 2025
- T. Ed Li, Mufeng Tang, Rafal Bogacz:
Predictive Coding Model Detects Novelty on Different Levels of Representation Hierarchy. 1373-1408 - Johnny Jingze Li, Sebastian Pardo-Guerra, Kalyan Basu, Gabriel A. Silva:
A Categorical Framework for Quantifying Emergent Effects in Network Topology. 1409-1438 - Onur Boyar, Yanheng Gu, Yuji Tanaka, Shunsuke Tonogai, Tomoya Itakura, Ichiro Takeuchi:
Crystal-LSBO: Automated Design of De Novo Crystals With Latent Space Bayesian Optimization. 1505-1527
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