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ORCIDNeural Computation, Volume 28
Volume 28, Number 1, January 2016
- Anca Radulescu
:
Neural Network Spectral Robustness under Perturbations of the Underlying Graph. 1-44 - Anoop Korattikara, Yutian Chen, Max Welling:
Sequential Tests for Large-Scale Learning. 45-70
- Hongzhi Tong:
A Note on Support Vector Machines with Polynomial Kernels. 71-88
- Vijay Mohan K. Namboodiri, Stefan Mihalas, Marshall G. Hussain Shuler:
Analytical Calculation of Errors in Time and Value Perception Due to a Subjective Time Accumulator: A Mechanistic Model and the Generation of Weber's Law. 89-117 - Andreas Knoblauch:
Efficient Associative Computation with Discrete Synapses. 118-186 - Osamu Hoshino, Mei Hong Zheng, Kazuo Watanabe:
Reduction of Trial-to-Trial Perceptual Variability by Intracortical Tonic Inhibition. 187-215 - David Gómez Guillén, Alfonso Rojas:
An Empirical Overview of the No Free Lunch Theorem and Its Effect on Real-World Machine Learning Classification. 216-228 - Qiang Xi:
Global Exponential Stability of Cohen-Grossberg Neural Networks with Piecewise Constant Argument of Generalized Type and Impulses. 229-255
Volume 28, Number 2, February 2016
- Sarath Chandar, Mitesh M. Khapra, Hugo Larochelle, Balaraman Ravindran:
Correlational Neural Networks. 257-285
- Victor L. Vvedensky, Andrey O. Prokofyev:
Timing of Cortical Events Preceding Voluntary Movement. 286-304 - Xue-Xin Wei, Alan A. Stocker:
Mutual Information, Fisher Information, and Efficient Coding. 305-326 - Johan Westö, Patrick J. C. May, Hannu Tiitinen:
Memory Stacking in Hierarchical Networks. 327-353 - Isabel Valera, Francisco J. R. Ruiz, Pablo M. Olmos, Carlos Blanco, Fernando Pérez-Cruz:
Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis. 354-381 - Motonobu Kanagawa, Yu Nishiyama, Arthur Gretton, Kenji Fukumizu:
Filtering with State-Observation Examples via Kernel Monte Carlo Filter. 382-444
Volume 28, Number 3, March 2016
- Aapo Hyvärinen, Junichiro Hirayama, Vesa Kiviniemi, Motoaki Kawanabe:
Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation Matrices. 445-484
- Hien Duy Nguyen, Ian A. Wood:
A Block Successive Lower-Bound Maximization Algorithm for the Maximum Pseudo-Likelihood Estimation of Fully Visible Boltzmann Machines. 485-492
- Seth H. Weinberg:
Microdomain [Ca2+] Fluctuations Alter Temporal Dynamics in Models of Ca2+-Dependent Signaling Cascades and Synaptic Vesicle Release. 493-524 - Yunlong Feng, Shao-Gao Lv, Hanyuan Hang, Johan A. K. Suykens:
Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery. 525-562 - Yao Ma, Tingting Zhao, Kohei Hatano, Masashi Sugiyama:
An Online Policy Gradient Algorithm for Markov Decision Processes with Continuous States and Actions. 563-593 - Colin H. LaMont, Paul A. Wiggins:
The Development of an Information Criterion for Change-Point Analysis. 594-612
Volume 28, Number 4, April 2016
- Claus Agerskov:
Vector Symbolic Spiking Neural Network Model of Hippocampal Subarea CA1 Novelty Detection Functionality. 613-628
- August Romeo, Hans Supèr:
Feature-Based Attention by Lateral Spike Synchronization. 629-651
- Wei Wei, Xiao-Jing Wang:
Downstream Effect of Ramping Neuronal Activity through Synapses with Short-Term Plasticity. 652-666 - Jeong-Yoon Lee, Youngmin Oh, Sung Shin Kim, Robert A. Scheidt, Nicolas Schweighofer:
Optimal Schedules in Multitask Motor Learning. 667-685 - Kishan Wimalawarne, Ryota Tomioka, Masashi Sugiyama:
Theoretical and Experimental Analyses of Tensor-Based Regression and Classification. 686-715 - Saurabh Paul, Petros Drineas:
Feature Selection for Ridge Regression with Provable Guarantees. 716-742 - Yiming Ying, Ding-Xuan Zhou:
Online Pairwise Learning Algorithms. 743-777 - Yang Liu, Jinde Cao, Liangjie Sun, Jianquan Lu:
Sampled-Data State Feedback Stabilization of Boolean Control Networks. 778-799
Volume 28, Number 5, May 2016
- Furui Liu, Laiwan Chan:
Causal Inference on Discrete Data via Estimating Distance Correlations. 801-814
- Mark Tygert, Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam:
A Mathematical Motivation for Complex-Valued Convolutional Networks. 815-825
- Arunava Banerjee:
Learning Precise Spike Train-to-Spike Train Transformations in Multilayer Feedforward Neuronal Networks. 826-848 - Giuseppe Vinci, Valérie Ventura, Matthew A. Smith, Robert E. Kass:
Separating Spike Count Correlation from Firing Rate Correlation. 849-881 - Vinay Shirhatti, Ayon Borthakur, Supratim Ray:
Effect of Reference Scheme on Power and Phase of the Local Field Potential. 882-913 - Victor Solo:
State-Space Analysis of Granger-Geweke Causality Measures with Application to fMRI. 914-949 - Naoki Kudo, Kyuheong Choi, Takahiro Kagawa, Yoji Uno:
Whole-Body Reaching Movements Formulated by Minimum Muscle-Tension Change Criterion. 950-969 - Ivan S. Zivkovic, Predrag S. Stanimirovic, Yimin Wei:
Recurrent Neural Network for Computing Outer Inverse. 970-998
Volume 28, Number 6, June 2016
- Mahyar Hamedi, Sh-Hussain Salleh, Alias Mohd Noor:
Electroencephalographic Motor Imagery Brain Connectivity Analysis for BCI: A Review. 999-1041
- Vasek Chvátal, Mark Goldsmith, Nan Yang:
McCulloch-Pitts Brains and Pseudorandom Functions. 1042-1050
- Yuri Dabaghian:
Maintaining Consistency of Spatial Information in the Hippocampal Network: A Combinatorial Geometry Model. 1051-1071 - Kun Zhan, Jicai Teng, Jinhui Shi, Qiaoqiao Li, Mingying Wang:
Feature-Linking Model for Image Enhancement. 1072-1100 - Hiroaki Sasaki, Yung-Kyun Noh, Gang Niu, Masashi Sugiyama:
Direct Density Derivative Estimation. 1101-1140 - Akifumi Notsu, Shinto Eguchi:
Robust Clustering Method in the Presence of Scattered Observations. 1141-1162 - Hoai An Le Thi, Xuan Thanh Vo, Tao Pham Dinh:
Efficient Nonnegative Matrix Factorization by DC Programming and DCA. 1163-1216 - Yunlong Feng, Yuning Yang, Xiaolin Huang, Siamak Mehrkanoon, Johan A. K. Suykens:
Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses. 1217-1247
Volume 28, Number 7, July 2016
- Haruo Hosoya, Aapo Hyvärinen:
Learning Visual Spatial Pooling by Strong PCA Dimension Reduction. 1249-1264 - Marc-Alexandre Côté, Hugo Larochelle:
An Infinite Restricted Boltzmann Machine. 1265-1288
- Namig J. Guliyev, Vugar E. Ismailov:
A Single Hidden Layer Feedforward Network with Only One Neuron in the Hidden Layer Can Approximate Any Univariate Function. 1289-1304
- Pascal Kropf, Amir Shmuel:
1D Current Source Density (CSD) Estimation in Inverse Theory: A Unified Framework for Higher-Order Spectral Regularization of Quadrature and Expansion-Type CSD Methods. 1305-1355 - Rahul Agarwal, Zhe Chen, Fabian Kloosterman, Matthew A. Wilson, Sridevi V. Sarma:
A Novel Nonparametric Approach for Neural Encoding and Decoding Models of Multimodal Receptive Fields. 1356-1387 - Ikko Yamane, Hiroaki Sasaki, Masashi Sugiyama:
Regularized Multitask Learning for Multidimensional Log-Density Gradient Estimation. 1388-1410 - Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega:
Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional Signals. 1411-1451
Volume 28, Number 8, August 2016
- Edward Paxon Frady, Ashish Kapoor, Eric Horvitz, William B. Kristan Jr.:
Scalable Semisupervised Functional Neurocartography Reveals Canonical Neurons in Behavioral Networks. 1453-1497
- Henning U. Voss:
The Leaky Integrator with Recurrent Inhibition as a Predictor. 1498-1502
- Yanping Huang, Rajesh P. N. Rao:
Bayesian Inference and Online Learning in Poisson Neuronal Networks. 1503-1526 - Christian Leibold, Mauro M. Monsalve-Mercado:
Asymmetry of Neuronal Combinatorial Codes Arises from Minimizing Synaptic Weight Change. 1527-1552 - Asieh Abolpour Mofrad, Matthew Geoffrey Parker, Zahra Ferdosi, Mohammad Hesam Tadayon:
Clique-Based Neural Associative Memories with Local Coding and Precoding. 1553-1573 - Susmita Mall, Snehashish Chakraverty:
Hermite Functional Link Neural Network for Solving the Van der Pol-Duffing Oscillator Equation. 1574-1598 - Varun Raj Kompella, Matthew D. Luciw, Marijn F. Stollenga, Jürgen Schmidhuber:
Optimal Curiosity-Driven Modular Incremental Slow Feature Analysis. 1599-1662 - Karthik Devarajan, Vincent C. K. Cheung:
A Quasi-Likelihood Approach to Nonnegative Matrix Factorization. 1663-1693 - Yu Wang, Jihong Li:
Credible Intervals for Precision and Recall Based on a K-Fold Cross-Validated Beta Distribution. 1694-1722
Volume 28, Number 9, September 2016
- Jalal Etesami, Negar Kiyavash, Todd P. Coleman:
Learning Minimal Latent Directed Information Polytrees. 1723-1768 - Lawrence R. Frank, Vitaly L. Galinsky:
Dynamic Multiscale Modes of Resting State Brain Activity Detected by Entropy Field Decomposition. 1769-1811
- Karl J. Friston, Ivan Herreros-Alonso:
Active Inference and Learning in the Cerebellum. 1812-1839 - Balázs Hangya, Joshua I. Sanders, Ádám Kepecs:
A Mathematical Framework for Statistical Decision Confidence. 1840-1858 - Takuya Isomura, Koji Sakai, Kiyoshi Kotani, Yasuhiko Jimbo:
Linking Neuromodulated Spike-Timing Dependent Plasticity with the Free-Energy Principle. 1859-1888 - Gautam Kumar, ShiNung Ching:
The Geometry of Plasticity-Induced Sensitization in Isoinhibitory Rate Motifs. 1889-1926 - Terry Elliott:
The Enhanced Rise and Delayed Fall of Memory in a Model of Synaptic Integration: Extension to Discrete State Synapses. 1927-1984 - Guillaume Lajoie, Lai-Sang Young:
Dynamic Signal Tracking in a Simple V1 Spiking Model. 1985-2010
Volume 28, Number 10, October 2016
- Daniel Martí, Mattia Rigotti, Mingoo Seok, Stefano Fusi:
Energy-Efficient Neuromorphic Classifiers. 2011-2044
- Xiao Liang:
A Note on Divergences. 2045-2062
- William W. Lytton, Alexandra Seidenstein, Salvador Dura-Bernal, Robert A. McDougal, Felix Schürmann, Michael L. Hines:
Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON. 2063-2090 - Jacob Kanev, Achilleas Koutsou, Chris Christodoulou, Klaus Obermayer:
Integrator or Coincidence Detector: A Novel Measure Based on the Discrete Reverse Correlation to Determine a Neuron's Operational Mode. 2091-2128 - Henry C. Tuckwell, Susanne Ditlevsen:
The Space-Clamped Hodgkin-Huxley System with Random Synaptic Input: Inhibition of Spiking by Weak Noise and Analysis with Moment Equations. 2129-2161 - Marie Levakova, Massimiliano Tamborrino, Lubomir Kostal, Petr Lánský:
Presynaptic Spontaneous Activity Enhances the Accuracy of Latency Coding. 2162-2180 - Haoqi Sun, Olga Sourina, Guang-Bin Huang:
Learning Polychronous Neuronal Groups Using Joint Weight-Delay Spike-Timing-Dependent Plasticity. 2181-2212 - Tongliang Liu, Dacheng Tao, Dong Xu:
Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding Schemes. 2213-2249 - Nathan William Churchill, Kristoffer Hougaard Madsen, Morten Mørup:
The Functional Segregation and Integration Model: Mixture Model Representations of Consistent and Variable Group-Level Connectivity in fMRI. 2250-2290
Volume 28, Number 11, November 2016
- Marino Pagan, Eero P. Simoncelli, Nicole C. Rust:
Neural Quadratic Discriminant Analysis: Nonlinear Decoding with V1-Like Computation. 2291-2319
- Brian S. Robinson, Theodore W. Berger, Dong Song:
Identification of Stable Spike-Timing-Dependent Plasticity from Spiking Activity with Generalized Multilinear Modeling. 2320-2351 - Mélisande Albert, Yann Bouret, Magalie Fromont, Patricia Reynaud-Bouret:
Surrogate Data Methods Based on a Shuffling of the Trials for Synchrony Detection: The Centering Issue. 2352-2392 - Terry Elliott:
Variations on the Theme of Synaptic Filtering: A Comparison of Integrate-and-Express Models of Synaptic Plasticity for Memory Lifetimes. 2393-2460 - Simon de Montigny, Benoît R. Mâsse:
On the Analytical Solution of Firing Time for SpikeProp. 2461-2473 - Yuwei Cui, Subutai Ahmad, Jeff Hawkins:
Continuous Online Sequence Learning with an Unsupervised Neural Network Model. 2474-2504 - Sou Nobukawa, Haruhiko Nishimura:
Chaotic Resonance in Coupled Inferior Olive Neurons with the Llinás Approach Neuron Model. 2505-2532 - Vitaly L. Galinsky, Lawrence R. Frank:
The Lamellar Structure of the Brain Fiber Pathways. 2533-2556 - Subhrajit Roy, Arindam Basu:
An Online Structural Plasticity Rule for Generating Better Reservoirs. 2557-2584
Volume 28, Number 12, December 2016
- Hien Duy Nguyen, Luke R. Lloyd-Jones, Geoffrey J. McLachlan:
A Universal Approximation Theorem for Mixture-of-Experts Models. 2585-2593
- Karthik H. Shankar, Inder Singh, Marc W. Howard:
Neural Mechanism to Simulate a Scale-Invariant Future. 2594-2627 - María da Fonseca, Inés Samengo:
Derivation of Human Chromatic Discrimination Ability from an Information-Theoretical Notion of Distance in Color Space. 2628-2655 - Zhuo Wang, Alan A. Stocker, Daniel D. Lee:
Efficient Neural Codes That Minimize Lp Reconstruction Error. 2656-2686 - Ken Takano, Hideitsu Hino, Shotaro Akaho, Noboru Murata:
Nonparametric e-Mixture Estimation. 2687-2725 - Changjin Xu, Peiluan Li, Yicheng Pang:
Exponential Stability of Almost Periodic Solutions for Memristor-Based Neural Networks with Distributed Leakage Delays. 2726-2756 - Baosheng Yu, Meng Fang, Dacheng Tao:
Per-Round Knapsack-Constrained Linear Submodular Bandits. 2757-2789 - Xuezhong Wang, Yimin Wei, Predrag S. Stanimirovic:
Complex Neural Network Models for Time-Varying Drazin Inverse. 2790-2824 - Carina Curto, Katherine Morrison:
Pattern Completion in Symmetric Threshold-Linear Networks. 2825-2852 - Hanyuan Hang, Yunlong Feng, Ingo Steinwart, Johan A. K. Suykens:
Learning Theory Estimates with Observations from General Stationary Stochastic Processes. 2853-2889
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