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ORCIDNeural Computation, Volume 34
Volume 34, Number 1, January 2022
- Joseph Marino:
Predictive Coding, Variational Autoencoders, and Biological Connections. 1-44
- Kevin Berlemont, Jean-Pierre Nadal
:
Confidence-Controlled Hebbian Learning Efficiently Extracts Category Membership From Stimuli Encoded in View of a Categorization Task. 45-77
- Vincent Baker, Luís Cruz:
Traveling Waves in Quasi-One-Dimensional Neuronal Minicolumns. 78-103 - Xiaolin Hu, Zhigang Zeng:
Bridging the Functional and Wiring Properties of V1 Neurons Through Sparse Coding. 104-137 - Zhixian Han, Anne B. Sereno:
Modeling the Ventral and Dorsal Cortical Visual Pathways Using Artificial Neural Networks. 138-171 - Feifei Zhao, Yi Zeng, Jun Bai:
Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics. 172-189 - Justin D. Theiss, Joel D. Bowen, Michael A. Silver:
Spatial Attention Enhances Crowded Stimulus Encoding Across Modeled Receptive Fields by Increasing Redundancy of Feature Representations. 190-218 - Xiwei She, Theodore W. Berger, Dong Song:
A Double-Layer Multi-Resolution Classification Model for Decoding Spatiotemporal Patterns of Spikes With Small Sample Size. 219-254 - Vagan Y. Terziyan, Olena Kaikova:
Neural Networks With Disabilities: An Introduction to Complementary Artificial Intelligence. 255-290
Volume 34, Number 2, February 2022
- Christos H. Papadimitriou, Angela D. Friederici:
Bridging the Gap Between Neurons and Cognition Through Assemblies of Neurons. 291-306
- Germain Lefebvre, Christopher Summerfield, Rafal Bogacz:
A Normative Account of Confirmation Bias During Reinforcement Learning. 307-337
- Julien Audiffren, Jean-Pierre Bresciani:
Model Based or Model Free? Comparing Adaptive Methods for Estimating Thresholds in Neuroscience. 338-359 - Takeshi D. Itoh, Koji Ishihara, Jun Morimoto:
Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical Environment. 360-377 - David Berga, Xavier Otazu:
A Neurodynamic Model of Saliency Prediction in V1. 378-414 - Eric C. Wong:
Distributed Phase Oscillatory Excitation Efficiently Produces Attractors Using Spike-Timing-Dependent Plasticity. 415-436 - Laurent Bonnasse-Gahot, Jean-Pierre Nadal:
Categorical Perception: A Groundwork for Deep Learning. 437-475 - Ilsang Ohn, Yongdai Kim:
Nonconvex Sparse Regularization for Deep Neural Networks and Its Optimality. 476-517 - Wen-shu Zha, Wen Zhang, Daolun Li, Yan Xing, Lei He, Jieqing Tan:
Convolution-Based Model-Solving Method for Three-Dimensional, Unsteady, Partial Differential Equations. 518-540
Volume 34, Number 3, March 2022
- Doris Voina, Stefano Recanatesi, Brian Hu, Eric Shea-Brown, Stefan Mihalas:
Single Circuit in V1 Capable of Switching Contexts During Movement Using an Inhibitory Population as a Switch. 541-594 - Mohammad Mohammadi, Peter Tino, Kerstin Bunte:
Manifold Alignment Aware Ants: A Markovian Process for Manifold Extraction. 595-641
- Wei Zhong Goh, Varun Ursekar, Marc W. Howard:
Predicting the Future With a Scale-Invariant Temporal Memory for the Past. 642-685 - Bruno A. Santos, Rogério Martins Gomes, Xabier E. Barandiaran, Phil Husbands:
Active Role of Self-Sustained Neural Activity on Sensory Input Processing: A Minimal Theoretical Model. 686-715 - William Paul, Armin Hadzic, Neil Joshi, Fady Alajaji, Philippe Burlina:
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization. 716-753 - Clifford Bohm, Douglas Kirkpatrick, Arend Hintze:
Understanding Memories of the Past in the Context of Different Complex Neural Network Architectures. 754-780 - Zhenghang Cui, Issei Sato:
Active Classification With Uncertainty Comparison Queries. 781-803 - Kohei Ichikawa, Asaki Kataoka:
Dynamical Mechanism of Sampling-Based Probabilistic Inference Under Probabilistic Population Codes. 804-827
Volume 34, Number 4, April 2022
- Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston:
Bayesian Brains and the Rényi Divergence. 829-855 - A. J. Cressman, Woradorn Wattanapanitch, I. Chuang, Rahul Sarpeshkar:
Formulation and Emulation of Quantum-Inspired Dynamical Systems With Classical Analog Circuits. 856-890 - Tiberiu Tesileanu, Siavash Golkar, Samaneh Nasiri, Anirvan M. Sengupta, Dmitri B. Chklovskii:
Neural Circuits for Dynamics-Based Segmentation of Time Series. 891-938
- Jemy A. Mandujano Valle, Alexandre L. Madureira:
Parameter Identification Problem in the Hodgkin-Huxley Model. 939-970 - Babak Shiri, Hua Kong, Guo-Cheng Wu, Cheng Luo:
Adaptive Learning Neural Network Method for Solving Time-Fractional Diffusion Equations. 971-990 - Kenji Kawaguchi, Linjun Zhang, Zhun Deng:
Understanding Dynamics of Nonlinear Representation Learning and Its Application. 991-1018 - So Kumano, Tatsuya Akutsu:
Comparison of the Representational Power of Random Forests, Binary Decision Diagrams, and Neural Networks. 1019-1044 - Yancheng Lv, Lin Lin, Jie Liu, Hao Guo, Changsheng Tong:
Research on Imbalanced Data Classification Based on Classroom-Like Generative Adversarial Networks. 1045-1073
Volume 34, Number 5, May 2022
- Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen, Thomas Serre:
Understanding the Computational Demands Underlying Visual Reasoning. 1075-1099 - Mohammad R. Rezaei, Alex E. Hadjinicolaou, Sydney S. Cash, Uri T. Eden, Ali Yousefi:
Direct Discriminative Decoder Models for Analysis of High-Dimensional Dynamical Neural Data. 1100-1135
- Jacob A. Zavatone-Veth, Cengiz Pehlevan:
On Neural Network Kernels and the Storage Capacity Problem. 1136-1142
- Marcus Anthony Triplett, Geoffrey J. Goodhill:
Inference of Multiplicative Factors Underlying Neural Variability in Calcium Imaging Data. 1143-1169 - Shuang Lian, Qianhui Liu, Rui Yan, Gang Pan, Huajin Tang:
Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling. 1170-1188 - Hideaki Ishibashi, Shotaro Akaho:
Principal Component Analysis for Gaussian Process Posteriors. 1189-1219 - Edoardo Vecchi, Lukás Pospísil, Steffen Albrecht, Terence J. O'Kane, Illia Horenko:
eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems. 1220-1255 - Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang, Linlin Zong, Guanglu Wang:
Graph Clustering With Graph Capsule Network. 1256-1287
Volume 34, Number 6, June 2022
- Amirhossein Javanshir, Thanh Thi Nguyen, M. A. Parvez Mahmud, Abbas Z. Kouzani:
Advancements in Algorithms and Neuromorphic Hardware for Spiking Neural Networks. 1289-1328
- Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs. 1329-1368 - Yijun Zhang, Tong Bu, Jiyuan Zhang, Shiming Tang, Zhaofei Yu, Jian K. Liu, Tiejun Huang:
Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex. 1369-1397 - Kazuya Takabatake, Shotaro Akaho:
Full-Span Log-Linear Model and Fast Learning Algorithm. 1398-1424 - Nariman Roohi, Alireza Valizadeh:
Role of Interaction Delays in the Synchronization of Inhibitory Networks. 1425-1447 - Masaaki Imaizumi, Hirofumi Ota, Takuo Hamaguchi:
Hypothesis Test and Confidence Analysis With Wasserstein Distance on General Dimension. 1448-1487 - Philip M. Long, Rocco A. Servedio:
The Perils of Being Unhinged: On the Accuracy of Classifiers Minimizing a Noise-Robust Convex Loss. 1488-1499
Volume 34, Number 7, July 2022
- Zafeirios Fountas, Anastasia Sylaidi, Kyriacos Nikiforou, Anil K. Seth, Murray Shanahan, Warrick Roseboom:
A Predictive Processing Model of Episodic Memory and Time Perception. 1501-1544 - Randall Clark, Lawson Fuller, Jason A. Platt, Henry D. I. Abarbanel:
Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data. 1545-1587 - Olivier Codol, Paul L. Gribble, Kevin N. Gurney:
Differential Dopamine Receptor-Dependent Sensitivity Improves the Switch Between Hard and Soft Selection in a Model of the Basal Ganglia. 1588-1615
- Kyle Luther, H. Sebastian Seung:
Sensitivity of Sparse Codes to Image Distortions. 1616-1635
Volume 34, Number 8, August 2022
- Yuansheng Zhou, Tatyana O. Sharpee:
Using Global t-SNE to Preserve Intercluster Data Structure. 1637-1651 - Aran Nayebi, Javier Sagastuy-Breña, Daniel M. Bear, Kohitij Kar, Jonas Kubilius, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins:
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition. 1652-1675
- Michael Y.-S. Fang, Mayur Mudigonda, Ryan Zarcone, Amir Khosrowshahi, Bruno A. Olshausen:
Learning and Inference in Sparse Coding Models With Langevin Dynamics. 1676-1700 - Simon Forest, Jean-Charles Quinton, Mathieu Lefort:
A Dynamic Neural Field Model of Multimodal Merging: Application to the Ventriloquist Effect. 1701-1726 - You Zhao, Xiaofeng Liao, Xing He:
Fixed-Time Stable Neurodynamic Flow to Sparse Signal Recovery via Nonconvex L1-β2-Norm. 1727-1755 - Simone Brugiapaglia, Matthew Liu, Paul F. Tupper:
Invariance, Encodings, and Generalization: Learning Identity Effects With Neural Networks. 1756-1789 - Federico Claudi, Tiago Branco:
Differential Geometry Methods for Constructing Manifold-Targeted Recurrent Neural Networks. 1790-1811 - Yaoyu Zhu, Yu Zhang, Xiaodong Xie, Tie-Jun Huang:
An FPGA Accelerator for High-Speed Moving Objects Detection and Tracking With a Spike Camera. 1812-1839
Volume 34, Number 9, September 2022
- Zahra Fayyaz, Aya Altamimi, Carina Zoellner, Nicole Klein, Oliver T. Wolf, Sen Cheng, Laurenz Wiskott:
A Model of Semantic Completion in Generative Episodic Memory. 1841-1870
- Adrian Valente, Srdjan Ostojic, Jonathan W. Pillow:
Probing the Relationship Between Latent Linear Dynamical Systems and Low-Rank Recurrent Neural Network Models. 1871-1892 - Massimo Grillo, Alice Geminiani, Cristiano Alessandro, Egidio D'Angelo, Alessandra Pedrocchi, Claudia Casellato:
Bayesian Integration in a Spiking Neural System for Sensorimotor Control. 1893-1914 - Cyrille Mascart, Gilles Scarella, Patricia Reynaud-Bouret, Alexandre Muzy:
Scalability of Large Neural Network Simulations via Activity Tracking With Time Asynchrony and Procedural Connectivity. 1915-1943 - Masanari Kimura, Hideitsu Hino:
Information Geometrically Generalized Covariate Shift Adaptation. 1944-1977 - Steven Collazos, Duane Q. Nykamp:
Permitted Sets and Convex Coding in Nonthreshold Linear Networks. 1978-2008
Volume 34, Number 10, October 2022
- Arun Pandey, Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens:
Disentangled Representation Learning and Generation With Manifold Optimization. 2009-2036
- Christopher K. I. Williams:
On Suspicious Coincidences and Pointwise Mutual Information. 2037-2046
- Vladimir A. Ivanov, Konstantinos P. Michmizos:
Astrocytes Learn to Detect and Signal Deviations From Critical Brain Dynamics. 2047-2074 - Loïs Naudin, Juan Luis Jiménez Laredo, Nathalie Corson:
A Simple Model of Nonspiking Neurons. 2075-2101 - Soon Ho Kim, Junhyuk Woo, Kiri Choi, Moo Young Choi, Kyungreem Han:
Neural Information Processing and Computations of Two-Input Synapses. 2102-2131 - Théophile Champion, Marek Grzes, Howard Bowman:
Branching Time Active Inference with Bayesian Filtering. 2132-2144 - Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama:
A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy. 2145-2203
Volume 34, Number 11, November 2022
- Andrea Adden, Terrence C. Stewart, Barbara Webb, Stanley Heinze:
A Neural Model for Insect Steering Applied to Olfaction and Path Integration. 2205-2231 - Aditya A. Ramesh, Paulo E. Rauber, Michelangelo Conserva, Jürgen Schmidhuber:
Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits. 2232-2272
- Ting-Yu Kuo, Yuanda Liao, Kai Li, Bo Hong, Xiaolin Hu:
Inferring Mechanisms of Auditory Attentional Modulation with Deep Neural Networks. 2273-2293 - Endel Põder:
Capacity Limitations of Visual Search in Deep Convolutional Neural Networks. 2294-2308
Volume 34, Number 12, December 2022
- Nicolas Zucchet, João Sacramento:
Beyond Backpropagation: Bilevel Optimization Through Implicit Differentiation and Equilibrium Propagation. 2309-2346
- Tarek Jabri, Jason N. MacLean:
Large-Scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical Wiring. 2347-2373
- Oren Forkosh:
Memoryless Optimality: Neurons Do Not Need Adaptation to Optimally Encode Stimuli With Arbitrarily Complex Statistics. 2374-2387 - Hiraku Kumano, Sou Nobukawa, Aya Shirama, Tetsuya Takahashi, Toshinobu Takeda, Haruhisa Ohta, Mitsuru Kikuchi, Akira Iwanami, Nobumasa Kato, Shigenobu Toda:
Asymmetric Complexity in a Pupil Control Model With Laterally Imbalanced Neural Activity in the Locus Coeruleus: A Potential Biomarker for Attention-Deficit/Hyperactivity Disorder. 2388-2407 - Shunya Kusakawa, Shion Takeno, Yu Inatsu, Kentaro Kutsukake, Shogo Iwazaki, Takashi Nakano, Toru Ujihara, Masayuki Karasuyama, Ichiro Takeuchi:
Bayesian Optimization for Cascade-Type Multistage Processes. 2408-2431 - Toshimitsu Aritake, Hideitsu Hino:
Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport. 2432-2466
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