Journal: Neural Computation

Volume 33, Issue 9

2309 -- 2352David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii. A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis
2353 -- 2407Jeffrey Frederic Queißer, Minju Jung, Takazumi Matsumoto, Jun Tani. Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning
2408 -- 2438Alejandro Ojeda, Kenneth Kreutz-Delgado, Jyoti Mishra. Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically Inspired Sparsity Priors
2439 -- 2472Runhao Jiang, Jie Zhang, Rui Yan 0005, Huajin Tang. Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization
2473 -- 2510Himesh Bhatia, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina. Least kth-Order and Rényi Generative Adversarial Networks
2511 -- 2549Kimberly Villalobos, Vilim Stih, Amineh Ahmadinejad, Shobhita Sundaram, Jamell Dozier, Andrew Francl, Frederico Azevedo, Tomotake Sasaki, Xavier Boix. Do Neural Networks for Segmentation Understand Insideness?
2550 -- 2577Asieh Abolpour Mofrad, Samaneh Abolpour Mofrad, Anis Yazidi, Matthew Geoffrey Parker. On Neural Associative Memory Structures: Storage and Retrieval of Sequences in a Chain of Tournaments
2578 -- 2601María da Fonseca, Inés Samengo. Statistical Properties of Color Matching Functions

Volume 33, Issue 8

2033 -- 2067Aaron R. Voelker, Peter Blouw, Xuan Choo, Nicole Sandra-Yaffa Dumont, Terrence C. Stewart, Chris Eliasmith. Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers
2068 -- 2086Akke Mats Houben. Frequency Selectivity of Neural Circuits With Heterogeneous Discrete Transmission Delays
2087 -- 2127German Abrevaya, Guillaume Dumas, Aleksandr Y. Aravkin, Peng Zheng, Jean-Christophe Gagnon-Audet, James R. Kozloski, Pablo Polosecki, Guillaume Lajoie, David D. Cox, Silvina Ponce Dawson, Guillermo A. Cecchi, Irina Rish. Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks
2128 -- 2162Wenkai Xu, Gang Niu 0001, Aapo Hyvärinen, Masashi Sugiyama. Direction Matters: On Influence-Preserving Graph Summarization and Max-Cut Principle for Directed Graphs
2163 -- 2192Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama. Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting
2193 -- 2225Andreas Knoblauch. Power Function Error Initialization Can Improve Convergence of Backpropagation Learning in Neural Networks for Classification
2226 -- 2240Masaki Kobayashi. Storage Capacity of Quaternion-Valued Hopfield Neural Networks With Dual Connections
2241 -- 2273Nicolas P. Rougier, Georgios Is. Detorakis. Randomized Self-Organizing Map
2274 -- 2307Ryo Karakida, Shotaro Akaho, Shun-ichi Amari. Pathological Spectra of the Fisher Information Metric and Its Variants in Deep Neural Networks

Volume 33, Issue 7

1719 -- 1750Young-Joon Kim, Nora Brackbill, Eleanor Batty, Jin Hyung Lee, Catalin Mitelut, William Tong, E. J. Chichilnisky, Liam Paninski. Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings
1751 -- 1817Shervin Safavi, Nikos K. Logothetis, Michel Besserve. From Univariate to Multivariate Coupling Between Continuous Signals and Point Processes: A Mathematical Framework
1818 -- 1852Bi Wang, Yang Chen, Xuelian Li, Junfu Chen. Lifelong Classification in Open World With Limited Storage Requirements
1853 -- 1885Chihiro Watanabe, Hirokazu Kameoka. X-DC: Explainable Deep Clustering Based on Learnable Spectrogram Templates
1886 -- 1913Wenrui Zhang, Peng Li 0001. Skip-Connected Self-Recurrent Spiking Neural Networks With Joint Intrinsic Parameter and Synaptic Weight Training
1914 -- 1941Noura Alotaibi, Koushik Maharatna. Classification of Autism Spectrum Disorder From EEG-Based Functional Brain Connectivity Analysis
1942 -- 1969E. A. Kwessi, Lloyd J. Edwards. Analysis of EEG Data Using Complex Geometric Structurization
1970 -- 1992Roman Vuillaume, Jhunlyn Lorenzo, Stéphane Binczak, Sabir Jacquir. A Computational Study on Synaptic Plasticity Regulation and Information Processing in Neuron-Astrocyte Networks
1993 -- 2032Cecilia Romaro, Fernando Araujo Najman, William W. Lytton, Antonio Carlos Roque 0001, Salvador Dura-Bernal. NetPyNE Implementation and Scaling of the Potjans-Diesmann Cortical Microcircuit Model

Volume 33, Issue 6

1433 -- 1468Takuya Isomura, Taro Toyoizumi. On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures
1469 -- 1497Charles G. Frye, James Simon, Neha S. Wadia, Andrew Ligeralde, Michael Robert DeWeese, Kristofer E. Bouchard. Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses
1498 -- 1553Paulo E. Rauber, Avinash Ummadisingu, Filipe Mutz, Jürgen Schmidhuber. Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients
1554 -- 1571Ilenna Simone Jones, Konrad Paul Körding. Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree?
1572 -- 1615Manuel Beiran, Alexis M. Dubreuil, Adrian Valente, Francesca Mastrogiuseppe, Srdjan Ostojic. Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks
1616 -- 1655Yuangang Pan, Ivor W. Tsang, Yueming Lyu, Avinash Kumar Singh, Chin-Teng Lin. Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation
1656 -- 1697Yunlong Feng, Qiang Wu. A Framework of Learning Through Empirical Gain Maximization
1698 -- 1716Masaki Kobayashi. Noise Robust Projection Rule for Klein Hopfield Neural Networks

Volume 33, Issue 5

1145 -- 1163Corey Weistuch, Lilianne R. Mujica-Parodi, Ken Dill. The Refractory Period Matters: Unifying Mechanisms of Macroscopic Brain Waves
1164 -- 1198Rishabh Singh, José C. Príncipe. Toward a Kernel-Based Uncertainty Decomposition Framework for Data and Models
1199 -- 1233Christopher M. Kim, Carson C. Chow. Training Spiking Neural Networks in the Strong Coupling Regime
1234 -- 1268Takuya Shimada, Han Bao 0002, Issei Sato, Masashi Sugiyama. Classification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization
1269 -- 1299Yalda Amidi, Behzad Nazari, Saeid Sadri, Ali Yousefi. Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework
1300 -- 1328Shanshan Qin, Nayantara Mudur, Cengiz Pehlevan. Contrastive Similarity Matching for Supervised Learning
1329 -- 1371Zhen Xiang, David J. Miller 0001, Hang Wang, George Kesidis. Detecting Scene-Plausible Perceptible Backdoors in Trained DNNs Without Access to the Training Set
1372 -- 1401Xi Liu, Xiang Shen, Shuhang Chen, Xiang Zhang, Yifan Huang, Yueming Wang, Yiwen Wang. Hierarchical Dynamical Model for Multiple Cortical Neural Decoding
1402 -- 1432Alejandra Ciria, Guido Schillaci, Giovanni Pezzulo, Verena V. Hafner, Bruno Lara 0001. Predictive Processing in Cognitive Robotics: A Review

Volume 33, Issue 4

853 -- 857Christopher K. I. Williams. The Effect of Class Imbalance on Precision-Recall Curves
858 -- 898Ethan Harris, Daniela Mihai, Jonathon S. Hare. How Convolutional Neural Network Architecture Biases Learned Opponency and Color Tuning
899 -- 925Friedemann Zenke, Tim P. Vogels. The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks
926 -- 966Justin W. M. Domhof, Paul H. E. Tiesinga. Flexible Frequency Switching in Adult Mouse Visual Cortex Is Mediated by Competition Between Parvalbumin and Somatostatin Expressing Interneurons
967 -- 1004Greta Tuckute, Sofie Therese Hansen, Troels Wesenberg Kjaer, Lars Kai Hansen. Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback
1005 -- 1036Zuowei Shen, Haizhao Yang, Shijun Zhang. Deep Network With Approximation Error Being Reciprocal of Width to Power of Square Root of Depth
1037 -- 1062Muneki Yasuda, Kei Uchizawa. A Generalization of Spatial Monte Carlo Integration
1063 -- 1112Arnaud Fanthomme, Rémi Monasson. Low-Dimensional Manifolds Support Multiplexed Integrations in Recurrent Neural Networks
1113 -- 1143Junhao Huang, Weize Sun, Lei Huang 0001. Joint Structure and Parameter Optimization of Multiobjective Sparse Neural Network

Volume 33, Issue 3

563 -- 589Tomas Van Pottelbergh, Guillaume Drion, Rodolphe Sepulchre. From Biophysical to Integrate-and-Fire Modeling
590 -- 673Nicholas M. Boffi, Jean-Jacques E. Slotine. Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction
674 -- 712Noor Sajid, Philip J. Ball, Thomas Parr, Karl J. Friston. Active Inference: Demystified and Compared
713 -- 763Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr. Sophisticated Inference
764 -- 801Kyle P. Wendling, Cheng Ly. Statistical Analysis of Decoding Performances of Diverse Populations of Neurons
802 -- 826William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina. Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection
827 -- 852Omri Barak, Sandro Romani. Mapping Low-Dimensional Dynamics to High-Dimensional Neural Activity: A Derivation of the Ring Model From the Neural Engineering Framework

Volume 33, Issue 2

269 -- 340Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea. Learning in Volatile Environments With the Bayes Factor Surprise
341 -- 375William H. Nesse, Leonard Maler, André Longtin. Enhanced Signal Detection by Adaptive Decorrelation of Interspike Intervals
376 -- 397Brett D. Roads, Michael C. Mozer. Predicting the Ease of Human Category Learning Using Radial Basis Function Networks
398 -- 446Casper Hesp, Ryan Smith, Thomas Parr, Micah Allen, Karl J. Friston, Maxwell J. D. Ramstead. Deeply Felt Affect: The Emergence of Valence in Deep Active Inference
447 -- 482Beren Millidge, Alexander Tschantz, Christopher L. Buckley. Whence the Expected Free Energy?
483 -- 527Asieh Abolpour Mofrad, Anis Yazidi, Samaneh Abolpour Mofrad, Hugo Lewi Hammer, Erik Arntzen. Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes
528 -- 551Dequan Jin, Ziyan Qin, Murong Yang, Penghe Chen. A Novel Neural Model With Lateral Interaction for Learning Tasks
552 -- 562Masaki Kobayashi. Stability Conditions of Bicomplex-Valued Hopfield Neural Networks

Volume 33, Issue 12

3179 -- 3203Yang Shen, Julia Wang, Saket Navlakha. A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks
3204 -- 3263Khashayar Filom, Roozbeh Farhoodi, Konrad Paul Körding. On PDE Characterization of Smooth Hierarchical Functions Computed by Neural Networks
3264 -- 3287Yinghao Li, Robert Kim, Terrence J. Sejnowski. Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models
3288 -- 3333João Angelo Ferres Brogin, Jean Faber, Douglas Domingues Bueno. Burster Reconstruction Considering Unmeasurable Variables in the Epileptor Model
3334 -- 3350Luis Sa-Couto, Andreas Wichert. Simple Convolutional-Based Models: Are They Learning the Task or the Data?
3351 -- 3360Sneha Aenugu, David E. Huber. Asymmetric Weights and Retrieval Practice in an Autoassociative Neural Network Model of Paired-Associate Learning
3361 -- 3412Taira Tsuchiya, Nontawat Charoenphakdee, Issei Sato, Masashi Sugiyama. Semisupervised Ordinal Regression Based on Empirical Risk Minimization
3413 -- 3466Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi. Bayesian Quadrature Optimization for Probability Threshold Robustness Measure

Volume 33, Issue 11

2881 -- 2907Tim Sainburg, Leland McInnes, Timothy Q. Gentner. Parametric UMAP Embeddings for Representation and Semisupervised Learning
2908 -- 2950Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan. Replay in Deep Learning: Current Approaches and Missing Biological Elements
2951 -- 2970Shao-Qun Zhang, Zhi-Hua Zhou. Flexible Transmitter Network
2971 -- 2995Jiangrong Shen, Jian K. Liu, Yueming Wang. Dynamic Spatiotemporal Pattern Recognition With Recurrent Spiking Neural Network
2996 -- 3026Takuma Torii, Shohei Hidaka. Completion of the Infeasible Actions of Others: Goal Inference by Dynamical Invariant
3027 -- 3072Hamid Karimi-Rouzbahani, Mozhgan Shahmohammadi, Ehsan Vahab, Saeed Setayeshi 0001, Thomas Carlson. Temporal Variabilities Provide Additional Category-Related Information in Object Category Decoding: A Systematic Comparison of Informative EEG Features
3073 -- 3101Viacheslav Osaulenko. Expansion of Information in the Binary Autoencoder With Random Binary Weights
3102 -- 3138Yaqin Fan, Xile Wei, Guosheng Yi, Meili Lu, Jiang Wang 0002, Bin Deng 0001. Asymptotic Input-Output Relationship Predicts Electric Field Effect on Sublinear Dendritic Integration of AMPA Synapses
3139 -- 3177Chen Zeno, Itay Golan, Elad Hoffer, Daniel Soudry. Task-Agnostic Continual Learning Using Online Variational Bayes With Fixed-Point Updates

Volume 33, Issue 10

2603 -- 2645Alfred Rajakumar, John Rinzel, Zhe S. Chen. Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory Recurrent Neural Networks for Sequence Representation
2646 -- 2681Nicola Bulso, Yasser Roudi. Restricted Boltzmann Machines as Models of Interacting Variables
2682 -- 2709Ganchao Wei, Ian H. Stevenson. Tracking Fast and Slow Changes in Synaptic Weights From Simultaneously Observed Pre- and Postsynaptic Spiking
2710 -- 2735Thijs van de Laar, Ismail Senöz, Ayça Özçelikkale, Henk Wymeersch. Chance-Constrained Active Inference
2736 -- 2761Marifi Güler. Multibranch Formal Neuron: An Internally Nonlinear Learning Unit
2762 -- 2826Théophile Champion, Marek Grzes, Howard Bowman. Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty Seeker
2827 -- 2852Richard C. Gerum, Achim Schilling. Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach
2853 -- 2880Kohei Yoshikawa, Shuichi Kawano. Multilinear Common Component Analysis via Kronecker Product Representation

Volume 33, Issue 1

1 -- 40Wouter Kruijne, Sander M. Bohte, Pieter R. Roelfsema, Christian N. L. Olivers. Flexible Working Memory Through Selective Gating and Attentional Tagging
41 -- 66Tomasz Górski, Damien Depannemaecker, Alain Destexhe. Conductance-Based Adaptive Exponential Integrate-and-Fire Model
67 -- 95David Gabrieli, Samantha N. Schumm, Nicholas F. Vigilante, David F. Meaney. NMDA Receptor Alterations After Mild Traumatic Brain Injury Induce Deficits in Memory Acquisition and Recall
96 -- 128Andreas Stöckel, Chris Eliasmith. Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks
129 -- 156Masami Iwamoto, Daichi Kato. Efficient Actor-Critic Reinforcement Learning With Embodiment of Muscle Tone for Posture Stabilization of the Human Arm
157 -- 173Yunlong Feng. New Insights Into Learning With Correntropy-Based Regression
174 -- 193Yu-Wei Kao, Hung-Hsuan Chen. Associated Learning: Decomposing End-to-End Backpropagation Based on Autoencoders and Target Propagation
194 -- 226Lawrence K. Saul. An EM Algorithm for Capsule Regression
227 -- 243R. Suresh, A. Manivannan. Robust Stability Analysis of Delayed Stochastic Neural Networks via Wirtinger-Based Integral Inequality
244 -- 268Tomoya Sakai, Gang Niu 0001, Masashi Sugiyama. Information-Theoretic Representation Learning for Positive-Unlabeled Classification