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Neural Computation, Volume 32
Volume 32, Number 1, January 2020
- Shagun Sodhani, Sarath Chandar, Yoshua Bengio:
Toward Training Recurrent Neural Networks for Lifelong Learning. 1-35 - Nicholas M. Boffi, Jean-Jacques E. Slotine:
A Continuous-Time Analysis of Distributed Stochastic Gradient. 36-96 - Shiyu Duan, Shujian Yu, Yunmei Chen
, José C. Príncipe:
On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without Backpropagation. 97-135 - Luis Sa-Couto
Storing Object-Dependent Sparse Codes in a Willshaw Associative Network. 136-152 - Anthony Strock
A Robust Model of Gated Working Memory. 153-181 - Xiping Ju, Biao Fang, Rui Yan, Xiaoliang Xu, Huajin Tang:
An FPGA Implementation of Deep Spiking Neural Networks for Low-Power and Fast Classification. 182-204 - Andreas Knoblauch, Günther Palm:
Iterative Retrieval and Block Coding in Autoassociative and Heteroassociative Memory. 205-260 - Adrian E. G. Huber, Jithendar Anumula, Shih-Chii Liu
Optimal Sampling of Parametric Families: Implications for Machine Learning. 261-279
Volume 32, Number 2, February 2020
- Sidney R. Lehky, Anh Huy Phan
Face Representations via Tensorfaces of Various Complexities. 281-329 - Nicolai Waniek:
Transition Scale-Spaces: A Computational Theory for the Discretized Entorhinal Cortex. 330-394 - Ewa Gudowska-Nowak, Maciej A. Nowak
From Synaptic Interactions to Collective Dynamics in Random Neuronal Networks Models: Critical Role of Eigenvectors and Transient Behavior. 395-423 - Jure Demsar, Rob Forsyth:
Synaptic Scaling Improves the Stability of Neural Mass Models Capable of Simulating Brain Plasticity. 424-446 - Kishan Wimalawarne, Makoto Yamada
Scaled Coupled Norms and Coupled Higher-Order Tensor Completion. 447-484 - Xiaofeng Xu
Improving Generalization via Attribute Selection on Out-of-the-Box Data. 485-514
Volume 32, Number 3, March 2020
- Elizabeth B. Torres
Hidden Aspects of the Research ADOS Are Bound to Affect Autism Science. 515-561 - Tao Bian, Daniel M. Wolpert, Zhong-Ping Jiang:
Model-Free Robust Optimal Feedback Mechanisms of Biological Motor Control. 562-595 - Thomas Hueber, Eric Tatulli, Laurent Girin, Jean-Luc Schwartz:
Evaluating the Potential Gain of Auditory and Audiovisual Speech-Predictive Coding Using Deep Learning. 596-625 - Saeed Farjami, Ryan P. D. Alexander, Derek Bowie
Switching in Cerebellar Stellate Cell Excitability in Response to a Pair of Inhibitory/Excitatory Presynaptic Inputs: A Dynamical System Perspective. 626-658 - Zhenghang Cui, Nontawat Charoenphakdee, Issei Sato, Masashi Sugiyama
Classification from Triplet Comparison Data. 659-681
Volume 32, Number 4, April 2020
- Daiji Tsutsui:
Center Manifold Analysis of Plateau Phenomena Caused by Degeneration of Three-Layer Perceptron. 683-710 - Henrikas Vaitkevicius, Algimantas Svegzda
Neural Model of Coding Stimulus Orientation and Adaptation. 711-740 - Xugang Xi, Wenjun Jiang, Seyed M. Miran, Xian Hua, Yun-Bo Zhao, Chen Yang, Zhizeng Luo:
Feature Extraction of Surface Electromyography Based on Improved Small-World Leaky Echo State Network. 741-758 - Hoai An Le Thi
Online Learning Based on Online DCA and Application to Online Classification. 759-793 - Yuval Harel, Ron Meir:
Optimal Multivariate Tuning with Neuron-Level and Population-Level Energy Constraints. 794-828
Volume 32, Number 5, May 2020
- Jing Gao, Peng Li, Zhikui Chen, Jianing Zhang:
A Survey on Deep Learning for Multimodal Data Fusion. 829-864 - Shreya Saxena, Sridevi V. Sarma, Munther A. Dahleh:
Performance Limitations in Sensorimotor Control: Trade-Offs Between Neural Computation and Accuracy in Tracking Fast Movements. 865-886 - Manuel Ciba, Robert Bestel, Christoph Nick, Guilherme Ferraz de Arruda
Comparison of Different Spike Train Synchrony Measures Regarding Their Robustness to Erroneous Data From Bicuculline-Induced Epileptiform Activity. 887-911 - Asieh Abolpour Mofrad
Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes. 912-968 - Michael C. Burkhart
The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models. 969-1017 - Noah Frazier-Logue
The Stochastic Delta Rule: Faster and More Accurate Deep Learning Through Adaptive Weight Noise. 1018-1032
Volume 32, Number 6, June 2020
- Weishun Zhong, Zhiyue Lu
Nonequilibrium Statistical Mechanics of Continuous Attractors. 1033-1068 - Terry Elliott:
First Passage Time Memory Lifetimes for Multistate, Filter-Based Synapses. 1069-1143 - Mengyu Tu
Efficient Position Decoding Methods Based on Fluorescence Calcium Imaging in the Mouse Hippocampus. 1144-1167 - Masaaki Takada, Taiji Suzuki, Hironori Fujisawa:
Independently Interpretable Lasso for Generalized Linear Models. 1168-1221 - Steven J. Frank, Andrea M. Frank:
Salient Slices: Improved Neural Network Training and Performance with Image Entropy. 1222-1237
Volume 32, Number 7, July 2020
- Pratik S. Sachdeva, Jesse A. Livezey, Michael Robert DeWeese:
Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise. 1239-1276 - Benjamin Straub, Gaby Schneider:
A Model for the Study of the Increase in Stimulus and Change Point Detection with Small and Variable Spiking Delays. 1277-1321 - Pascal Helson
A Mathematical Analysis of Memory Lifetime in a Simple Network Model of Memory. 1322-1354 - Kaixuan Zhang, Qinglong Wang, Xue Liu, C. Lee Giles:
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks. 1355-1378 - Yue Liu, Marc W. Howard:
Generation of Scale-Invariant Sequential Activity in Linear Recurrent Networks. 1379-1407 - Jakub Fil, Dominique F. Chu:
Minimal Spiking Neuron for Solving Multilabel Classification Tasks. 1408-1429
Volume 32, Number 8, August 2020
- Shun-ichi Amari:
Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective. 1431-1447 - Alexandre René, André Longtin, Jakob H. Macke
Inference of a Mesoscopic Population Model from Population Spike Trains. 1448-1498 - Yuangang Pan
Stochastic Multichannel Ranking with Brain Dynamics Preferences. 1499-1530 - Xinqi Li
A Discrete-Time Neurodynamic Approach to Sparsity-Constrained Nonnegative Matrix Factorization. 1531-1562 - Illia Horenko:
On a Scalable Entropic Breaching of the Overfitting Barrier for Small Data Problems in Machine Learning. 1563-1579 - Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai
Theory and Algorithms for Shapelet-Based Multiple-Instance Learning. 1580-1613
Volume 32, Number 9, September 2020
- Richard Gast
A Mean-Field Description of Bursting Dynamics in Spiking Neural Networks with Short-Term Adaptation. 1615-1634 - Ruohan Zhang, Dana H. Ballard:
Parallel Neural Multiprocessing with Gamma Frequency Latencies. 1635-1663 - Xin Hu, Jun Liu, Jie Ma, Yudai Pan, Lingling Zhang:
Fine-Grained 3D-Attention Prototypes for Few-Shot Learning. 1664-1684 - Masaki Kobayashi:
Hyperbolic-Valued Hopfield Neural Networks in Synchronous Mode. 1685-1696 - Ishan Wickramasingha, Ahmed Elrewainy, Michael Sobhy, Sherif S. Sherif:
Tensor Least Angle Regression for Sparse Representations of Multidimensional Signals. 1697-1732 - Yuko Kuroki, Liyuan Xu, Atsushi Miyauchi, Junya Honda, Masashi Sugiyama:
Polynomial-Time Algorithms for Multiple-Arm Identification with Full-Bandit Feedback. 1733-1773
Volume 32, Number 10, October 2020
- Shusen Pu
Fast and Accurate Langevin Simulations of Stochastic Hodgkin-Huxley Dynamics. 1775-1835 - Wei Sun, Jeff Orchard:
A Predictive-Coding Network That Is Both Discriminative and Generative. 1836-1862 - Cunle Qian, Xuyun Sun, Yueming Wang, Xiaoxiang Zheng, Yiwen Wang, Gang Pan:
Binless Kernel Machine: Modeling Spike Train Transformation for Cognitive Neural Prostheses. 1863-1900 - Keishi Sando, Hideitsu Hino:
Modal Principal Component Analysis. 1901-1935 - Yaxin Shi, Yuangang Pan
Multiview Alignment and Generation in CCA via Consistent Latent Encoding. 1936-1979 - Hongzhi Tong
Analysis of Regression Algorithms with Unbounded Sampling. 1980-1997 - Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Hideki Kandori, Ichiro Takeuchi:
Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation. 1998-2031 - Yu Inatsu, Daisuke Sugita, Kazuaki Toyoura, Ichiro Takeuchi:
Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives. 2032-2068
Volume 32, Number 11, November 2020
- Terence D. Sanger, Mitsuo Kawato
A Cerebellar Computational Mechanism for Delay Conditioning at Precise Time Intervals. 2069-2084 - Takuya Isomura
Reverse-Engineering Neural Networks to Characterize Their Cost Functions. 2085-2121 - Sama Daryanavard, Bernd Porr:
Closed-Loop Deep Learning: Generating Forward Models With Backpropagation. 2122-2144 - Ali Yousefi, Yalda Amidi, Behzad Nazari, Uri T. Eden
Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling. 2145-2186 - Yu Terada
Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical Criterion. 2187-2211 - Yoji Uno, Takehiro Suzuki, Takahiro Kagawa
Repetitive Control for Multi-Joint Arm Movements Based on Virtual Trajectories. 2212-2236 - Masaki Kobayashi:
Bicomplex Projection Rule for Complex-Valued Hopfield Neural Networks. 2237-2248 - Changcun Huang:
ReLU Networks Are Universal Approximators via Piecewise Linear or Constant Functions. 2249-2278 - Victor Boutin, Angelo Franciosini, Franck Ruffier
Effect of Top-Down Connections in Hierarchical Sparse Coding. 2279-2309
Volume 32, Number 12, December 2020
- Edward Paxon Frady, Spencer J. Kent, Bruno A. Olshausen, Friedrich T. Sommer:
Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures. 2311-2331 - Spencer J. Kent, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen:
Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods. 2332-2388 - Tiger W. Lin, Yusi Chen
Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI. 2389-2421 - Amir Hossein Ghaderi, Bianca R. Baltaretu
Synchrony and Complexity in State-Related EEG Networks: An Application of Spectral Graph Theory. 2422-2454 - Woori Kim, Yongseok Yoo:
Toward a Unified Framework for Cognitive Maps. 2455-2485 - Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Ichiro Takeuchi:
Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions. 2486-2531 - Guotian Xie:
Redundancy-Aware Pruning of Convolutional Neural Networks. 2532-2556 - Ruizhi Chen, Ling Li:
Analyzing and Accelerating the Bottlenecks of Training Deep SNNs With Backpropagation. 2557-2600
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