Journal: Neural Computation

Volume 22, Issue 9

2229 -- 2284Barbara Hammer, Alexander Hasenfuss. Topographic Mapping of Large Dissimilarity Data Sets
2285 -- 2307Hugo Larochelle, Yoshua Bengio, Joseph P. Turian. Tractable Multivariate Binary Density Estimation and the Restricted Boltzmann Forest
2308 -- 2333Urs Köster, Aapo Hyvärinen. A Two-Layer Model of Natural Stimuli Estimated with Score Matching
2334 -- 2368Payam Piray, Mohammad Mahdi Keramati, Amir Dezfouli, Caro Lucas, Azarakhsh Mokri. Individual Differences in Nucleus Accumbens Dopamine Receptors Predict Development of Addiction-Like Behavior: A Computational Approach
2369 -- 2389Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Masato Okada. Extracting State Transition Dynamics from Multiple Spike Trains Using Hidden Markov Models with Correlated Poisson Distribution
2390 -- 2416Richard F. Lyon, Martin Rehn, Samy Bengio, Thomas C. Walters, Gal Chechik. Sound Retrieval and Ranking Using Sparse Auditory Representations
2417 -- 2451Hideitsu Hino, Yu Fujimoto, Noboru Murata. A Grouped Ranking Model for Item Preference Parameter
2452 -- 2476Robert C. Wilson, Matthew R. Nassar, Joshua I. Gold. Bayesian Online Learning of the Hazard Rate in Change-Point Problems

Volume 22, Issue 8

1961 -- 1992Lars Buesing, Wolfgang Maass. A Spiking Neuron as Information Bottleneck
1993 -- 2001Ke Yuan, Mahesan Niranjan. Estimating a State-Space Model from Point Process Observations: A Note on Convergence
2002 -- 2030Todd P. Coleman, Sridevi S. Sarma. A Computationally Efficient Method for Nonparametric Modeling of Neural Spiking Activity with Point Processes
2031 -- 2058Angelo Arleo, Thierry Nieus, Michele Bezzi, Anna D Errico, Egidio D Angelo, Olivier J. M. D. Coenen. How Synaptic Release Probability Shapes Neuronal Transmission: Information-Theoretic Analysis in a Cerebellar Granule Cell
2059 -- 2085Daniel Bush, Andrew Philippides, Phil Husbands, Michael O Shea. Reconciling the STDP and BCM Models of Synaptic Plasticity in a Spiking Recurrent Neural Network
2086 -- 2112Yingxue Wang, Shih-Chii Liu. Multilayer Processing of Spatiotemporal Spike Patterns in a Neuron with Active Dendrites
2113 -- 2136Ahmet Omurtag, William W. Lytton. Spectral Method and High-Order Finite Differences for the Nonlinear Cable Equation
2137 -- 2160Wei Zhou, Jacek M. Zurada. Competitive Layer Model of Discrete-Time Recurrent Neural Networks with LT Neurons
2161 -- 2191Yansheng Ming, Zhanyi Hu. Modeling Stereopsis via Markov Random Field
2192 -- 2207Nicolas Le Roux, Yoshua Bengio. Deep Belief Networks Are Compact Universal Approximators
2208 -- 2227Intae Lee. Sample-Spacings-Based Density and Entropy Estimators for Spherically Invariant Multidimensional Data

Volume 22, Issue 7

1675 -- 1697Zbynek Pawlas, Lev Klebanov, Viktor Benes, Michaela Prokesová, Jirí Popelár, Petr Lánský. First-Spike Latency in the Presence of Spontaneous Activity
1698 -- 1717Johannes Friedrich, Robert Urbanczik, Walter Senn. Learning Spike-Based Population Codes by Reward and Population Feedback
1718 -- 1736Shun-ichi Amari. Conditional Mixture Model for Correlated Neuronal Spikes
1737 -- 1763Bor-Sen Chen, Cheng-Wei Li. On the Noise-Enhancing Ability of Stochastic Hodgkin-Huxley Neuron Systems
1764 -- 1785Gideon Gradwohl, Yoram Grossman. Statistical Computer Model Analysis of the Reciprocal and Recurrent Inhibitory Postsynaptic Potentials in alpha-Motoneurons
1786 -- 1811Rubén Moreno-Bote. Decision Confidence and Uncertainty in Diffusion Models with Partially Correlated Neuronal Integrators
1812 -- 1836Laurent U. Perrinet. Role of Homeostasis in Learning Sparse Representations
1837 -- 1859Román Rossi Pool, Germán Mato. Hebbian Plasticity and Homeostasis in a Model of Hypercolumn of the Visual Cortex
1860 -- 1898Jason Gauci, Kenneth O. Stanley. Autonomous Evolution of Topographic Regularities in Artificial Neural Networks
1899 -- 1926Huajin Tang, Haizhou Li, Rui Yan. Memory Dynamics in Attractor Networks with Saliency Weights
1927 -- 1959Mingjie Zhao, Herbert Jaeger. Norm-Observable Operator Models

Volume 22, Issue 6

1399 -- 1444Michael Pfeiffer, Bernhard Nessler, Rodney J. Douglas, Wolfgang Maass. Reward-Modulated Hebbian Learning of Decision Making
1445 -- 1467A. Scaglione, Karen A. Moxon, G. Foffani. General Poisson Exact Breakdown of the Mutual Information to Study the Role of Correlations in Populations of Neurons
1468 -- 1472Michiel D Haene, Benjamin Schrauwen. Fast and Exact Simulation Methods Applied on a Broad Range of Neuron Models
1473 -- 1492Roland Memisevic, Geoffrey E. Hinton. Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines
1493 -- 1510Felix Creutzig, Jan Benda, Sandra Wohlgemuth, Andreas Stumpner, Bernhard Ronacher, Andreas V. M. Herz. Timescale-Invariant Pattern Recognition by Feedforward Inhibition and Parallel Signal Processing
1511 -- 1527William H. Alexander, Joshua W. Brown. Hyperbolically Discounted Temporal Difference Learning
1528 -- 1572Rubén Moreno-Bote, Néstor Parga. Response of Integrate-and-Fire Neurons to Noisy Inputs Filtered by Synapses with Arbitrary Timescales: Firing Rate and Correlations
1573 -- 1596Arturo Berrones. Bayesian Inference Based on Stationary Fokker-Planck Sampling
1597 -- 1614Pengsheng Zheng, Wansheng Tang, Jianxiong Zhang. Efficient Continuous-Time Asymmetric Hopfield Networks for Memory Retrieval
1615 -- 1645Jaehyung Lee, Soo-Young Lee. Learning the Dynamical System Behind Sensory Data
1646 -- 1673Jiucang Hao, Intae Lee, Te-Won Lee, Terrence J. Sejnowski. Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior

Volume 22, Issue 5

1113 -- 1148Jiaxiang Zhang, Rafal Bogacz. Optimal Decision Making on the Basis of Evidence Represented in Spike Trains
1149 -- 1179Tobias Larsen, David S. Leslie, Edmund J. Collins, Rafal Bogacz. Posterior Weighted Reinforcement Learning with State Uncertainty
1180 -- 1230Terry Elliott. A Non-Markovian Random Walk Underlies a Stochastic Model of Spike-Timing-Dependent Plasticity
1231 -- 1244Mengyuan Zhao, Satish Iyengar. Nonconvergence in Logistic and Poisson Models for Neural Spiking
1245 -- 1271Sidney R. Lehky. Decoding Poisson Spike Trains by Gaussian Filtering
1272 -- 1311Lars Büsing, Benjamin Schrauwen, Robert A. Legenstein. Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
1312 -- 1332Samat Moldakarimov, Maxim Bazhenov, Terrence J. Sejnowski. Representation Sharpening Can Explain Perceptual Priming
1333 -- 1357Xiaolin Hu, Bo Zhang. A Gaussian Attractor Network for Memory and Recognition with Experience-Dependent Learning
1358 -- 1382Osamu Hoshino. Alteration of Ambient GABA by Phasic and Tonic Neuronal Activation
1383 -- 1398Takashi Kanamaru, Kazuyuki Aihara. Roles of Inhibitory Neurons in Rewiring-Induced Synchronization in Pulse-Coupled Neural Networks

Volume 22, Issue 4

831 -- 886Jo-Anne Ting, Aaron D Souza, Sethu Vijayakumar, Stefan Schaal. Efficient Learning and Feature Selection in High-Dimensional Regression
887 -- 905Daniel R. Cavagnaro, Jay I. Myung, Mark A. Pitt, Janne V. Kujala. Adaptive Design Optimization: A Mutual Information-Based Approach to Model Discrimination in Cognitive Science
906 -- 948Thomas Deneux, Olivier D. Faugeras. EEG-fMRI Fusion of Paradigm-Free Activity Using Kalman Filtering
949 -- 968Rohit Gandrakota, V. S. Chakravarthy, Ranjan K. Pradhan. A Model of Indispensability of a Large Glial Layer in Cerebrovascular Circulation
969 -- 997Roberto C. Sotero, Ramón Martínez-Cancino. Dynamical Mean Field Model of a Neural-Glial Mass
998 -- 1024Tiger W. Lin, George N. Reeke Jr.. A Continuous Entropy Rate Estimator for Spike Trains Using a K-Means-Based Context Tree
1025 -- 1059P. S. Sastry, K. P. Unnikrishnan. Conditional Probability-Based Significance Tests for Sequential Patterns in Multineuronal Spike Trains
1060 -- 1085Huijuan Fang, Yongji Wang, Jiping He. Spiking Neural Networks for Cortical Neuronal Spike Train Decoding
1086 -- 1111Jen-Yung Chen. A Simulation Study Investigating the Impact of Dendritic Morphology and Synaptic Topology on Neuronal Firing Patterns

Volume 22, Issue 3

581 -- 598Michael Famulare, Adrienne L. Fairhall. Feature Selection in Simple Neurons: How Coding Depends on Spiking Dynamics
599 -- 620Jan A. Freund, Alexander Nikitin, Nigel G. Stocks. Phase Locking Below Rate Threshold in Noisy Model Neurons
621 -- 659Bryan P. Tripp, Chris Eliasmith. Population Models of Temporal Differentiation
660 -- 688Yali Amit, Yibi Huang. Precise Capacity Analysis in Binary Networks with Multiple Coding Level Inputs
689 -- 729Vilson L. DalleMole, Aluizio Fausto Ribeiro Araújo. Growing Self-Organizing Surface Map: Learning a Surface Topology from a Point Cloud
730 -- 751Yiwen Wang, Bertram E. Shi. Autonomous Development of Vergence Control Driven by Disparity Energy Neuron Populations
752 -- 792C. C. Alan Fung, K. Y. Michael Wong, Si Wu. A Moving Bump in a Continuous Manifold: A Comprehensive Study of the Tracking Dynamics of Continuous Attractor Neural Networks
793 -- 829Giorgio Gnecco, Marcello Sanguineti. Regularization Techniques and Suboptimal Solutions to Optimization Problems in Learning from Data

Volume 22, Issue 2

289 -- 341Andreas Knoblauch, Günther Palm, Friedrich T. Sommer. Memory Capacities for Synaptic and Structural Plasticity
342 -- 376Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Jan Peters, Kenji Doya. Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning
377 -- 426Michael A. Buice, Jack D. Cowan, Carson C. Chow. Systematic Fluctuation Expansion for Neural Network Activity Equations
427 -- 447John Hertz. Cross-Correlations in High-Conductance States of a Model Cortical Network
448 -- 466J. M. Cortes, Andrea Greve, A. B. Barrett, Mark C. W. van Rossum. Dynamics and Robustness of Familiarity Memory
467 -- 510Filip Ponulak, Andrzej J. Kasinski. Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting
511 -- 538Srinivas C. Turaga, Joseph F. Murray, Viren Jain, Fabian Roth, Moritz Helmstaedter, Kevin L. Briggman, Winfried Denk, H. Sebastian Seung. Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation
539 -- 580Tyler McMillen, Sam Behseta. On the Effects of Signal Acuity in a Multi-Alternative Model of Decision Making

Volume 22, Issue 12

2979 -- 3035Stefan Klampfl, Wolfgang Maass. A Theoretical Basis for Emergent Pattern Discrimination in Neural Systems Through Slow Feature Extraction
3036 -- 3061Reza Moazzezi, Peter Dayan. Change-Based Inference in Attractor Nets: Linear Analysis
3062 -- 3106Hiroyuki Nakahara, Sivaramakrishnan Kaveri. Internal-Time Temporal Difference Model for Neural Value-Based Decision Making
3107 -- 3126Charles F. Cadieu, Kilian Koepsell. Phase Coupling Estimation from Multivariate Phase Statistics
3127 -- 3142Marcel van Gerven, Floris P. de Lange, Tom Heskes. Neural Decoding with Hierarchical Generative Models
3143 -- 3178Bor-Sen Chen, Cheng-Wei Li. Robust Observer-Based Tracking Control of Hodgkin-Huxley Neuron Systems Under Environmental Disturbances
3179 -- 3206Jesús Malo, Valero Laparra. Psychophysically Tuned Divisive Normalization Approximately Factorizes the PDF of Natural Images
3207 -- 3220Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Jürgen Schmidhuber. Deep, Big, Simple Neural Nets for Handwritten Digit Recognition
3221 -- 3235Hongzhi Tong, Di-Rong Chen, Fenghong Yang. Least Square Regression with ::::l:::p:::::::-Coefficient Regularization

Volume 22, Issue 11

2729 -- 2762Tanya Schmah, Grigori Yourganov, Richard S. Zemel, Geoffrey E. Hinton, Steven L. Small, Stephen C. Strother. Comparing Classification Methods for Longitudinal fMRI Studies
2763 -- 2784Christian Wehrhahn, Harald J. Teufel. How Are Lateral Chromatic Interactions Computed from Cone Signals?
2785 -- 2808Alexander J. Dubbs, Brad A. Seiler, Marcelo O. Magnasco. A Fast ::::::p:::::: Spike Alignment Metric
2809 -- 2857Chrisantha Fernando, Richard Goldstein, Eörs Szathmáry. The Neuronal Replicator Hypothesis
2858 -- 2886Yiming Ying, Colin Campbell. Rademacher Chaos Complexities for Learning the Kernel Problem
2887 -- 2923Hideitsu Hino, Noboru Murata. A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning
2924 -- 2961Aree Witoelar, Anarta Ghosh, J. J. G. de Vries, Barbara Hammer, Michael Biehl. Window-Based Example Selection in Learning Vector Quantization
2962 -- 2978Qingshan Liu, Jinde Cao, Guanrong Chen. A Novel Recurrent Neural Network with Finite-Time Convergence for Linear Programming

Volume 22, Issue 10

2477 -- 2506Robert Haslinger, Gordon Pipa, Emery Brown. Discrete Time Rescaling Theorem: Determining Goodness of Fit for Discrete Time Statistical Models of Neural Spiking
2507 -- 2521Daniel Calabuig, Jose F. Monserrat, Narcís Cardona. Convergence and Stability of Quantized Hopfield Networks Operating in a Fully Parallel Mode
2522 -- 2536Anne C. Smith, Vinh Kha Nguyen, Mattias P. Karlsson, Loren M. Frank, Peter Smith. Probability of Repeating Patterns in Simultaneous Neural Data
2537 -- 2557N. M. Fernandes, B. D. L. Pinto, Lírio Onofre Batista Almeida, Jan Frans Willem Slaets, Roland Köberle. Recording from Two Neurons: Second-Order Stimulus Reconstruction from Spike Trains and Population Coding
2558 -- 2585Aniello Buonocore, Ludovico Caputo, Enrica Pirozzi, Luigi M. Ricciardi. On a Stochastic Leaky Integrate-and-Fire Neuronal Model
2586 -- 2614Satohiro Tajima, Hiromasa Takemura, Ikuya Murakami, Masato Okada. Neuronal Population Decoding Explains the Change in Signal Detection Sensitivity Caused by Task-Irrelevant Perceptual Bias
2615 -- 2646Jun Wang, Hendrik Jan Hoogeboom, Linqiang Pan, Gheorghe Paun, Mario J. Pérez-Jiménez. Spiking Neural P Systems with Weights
2655 -- 2677Dongpo Xu, Huisheng Zhang, Lijun Liu. Convergence Analysis of Three Classes of Split-Complex Gradient Algorithms for Complex-Valued Recurrent Neural Networks
2678 -- 2697Youngmin Cho, Lawrence K. Saul. Large-Margin Classification in Infinite Neural Networks
2698 -- 2728Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre. The MEE Principle in Data Classification: A Perceptron-Based Analysis

Volume 22, Issue 1

1 -- 47Christopher DiMattina, Kechen Zhang. How to Modify a Neural Network Gradually Without Changing Its Input-Output Functionality
48 -- 60Daniel K. Wójcik, Szymon Leski. Current Source Density Reconstruction from Incomplete Data
61 -- 93Sean Byrnes, Anthony N. Burkitt, David B. Grayden, Hamish Meffin. Spiking Neuron Model for Temporal Sequence Recognition
94 -- 120Lars Wolff, Benjamin Lindner. Mean, Variance, and Autocorrelation of Subthreshold Potential Fluctuations Driven by Filtered Conductance Shot Noise
121 -- 157Robert Haslinger, Kristina Lisa Klinkner, Cosma Rohilla Shalizi. The Computational Structure of Spike Trains
158 -- 189Seif Eldawlatly, Yang Zhou, Rong Jin, Karim G. Oweiss. On the Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles
190 -- 243Elisa Magosso, Melissa Zavaglia, Andrea Serino, Giuseppe Di Pellegrino, Mauro Ursino. Visuotactile Representation of Peripersonal Space: A Neural Network Study
244 -- 272Terry Elliott. Discrete States of Synaptic Strength in a Stochastic Model of Spike-Timing-Dependent Plasticity
273 -- 288Florian Landis, Thomas Ott, Ruedi Stoop. Hebbian Self-Organizing Integrate-and-Fire Networks for Data Clustering