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ORCIDNeural Computation, Volume 22
Volume 22, Number 1, January 2010
- Christopher DiMattina, Kechen Zhang:
How to Modify a Neural Network Gradually Without Changing Its Input-Output Functionality. 1-47
- Daniel K. Wójcik
, Szymon Leski:
Current Source Density Reconstruction from Incomplete Data. 48-60
- Sean Byrnes, Anthony N. Burkitt, David B. Grayden, Hamish Meffin:
Spiking Neuron Model for Temporal Sequence Recognition. 61-93 - Lars Wolff, Benjamin Lindner:
Mean, Variance, and Autocorrelation of Subthreshold Potential Fluctuations Driven by Filtered Conductance Shot Noise. 94-120 - Robert Haslinger, Kristina Lisa Klinkner, Cosma Rohilla Shalizi:
The Computational Structure of Spike Trains. 121-157 - Seif Eldawlatly, Yang Zhou, Rong Jin, Karim G. Oweiss:
On the Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles. 158-189 - Elisa Magosso, Melissa Zavaglia, Andrea Serino, Giuseppe Di Pellegrino, Mauro Ursino:
Visuotactile Representation of Peripersonal Space: A Neural Network Study. 190-243 - Terry Elliott:
Discrete States of Synaptic Strength in a Stochastic Model of Spike-Timing-Dependent Plasticity. 244-272 - Florian Landis, Thomas Ott, Ruedi Stoop:
Hebbian Self-Organizing Integrate-and-Fire Networks for Data Clustering. 273-288
Volume 22, Number 2, February 2010
- Andreas Knoblauch, Günther Palm, Friedrich T. Sommer:
Memory Capacities for Synaptic and Structural Plasticity. 289-341
- Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Jan Peters, Kenji Doya:
Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning. 342-376
- Michael A. Buice, Jack D. Cowan, Carson C. Chow:
Systematic Fluctuation Expansion for Neural Network Activity Equations. 377-426 - John Hertz:
Cross-Correlations in High-Conductance States of a Model Cortical Network. 427-447 - Jesús M. Cortés, Andrea Greve, Adam B. Barrett, Mark C. W. van Rossum:
Dynamics and Robustness of Familiarity Memory. 448-466 - Filip Ponulak, Andrzej J. Kasinski:
Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting. 467-510 - Srinivas 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. 511-538 - Tyler McMillen, Sam Behseta:
On the Effects of Signal Acuity in a Multi-Alternative Model of Decision Making. 539-580
Volume 22, Number 3, March 2010
- Michael Famulare, Adrienne L. Fairhall:
Feature Selection in Simple Neurons: How Coding Depends on Spiking Dynamics. 581-598 - Jan A. Freund, Alexander Nikitin, Nigel G. Stocks:
Phase Locking Below Rate Threshold in Noisy Model Neurons. 599-620 - Bryan P. Tripp, Chris Eliasmith:
Population Models of Temporal Differentiation. 621-659 - Yali Amit, Yibi Huang:
Precise Capacity Analysis in Binary Networks with Multiple Coding Level Inputs. 660-688 - Vilson L. DalleMole, Aluízio Fausto Ribeiro Araújo:
Growing Self-Organizing Surface Map: Learning a Surface Topology from a Point Cloud. 689-729 - Yiwen Wang, Bertram E. Shi:
Autonomous Development of Vergence Control Driven by Disparity Energy Neuron Populations. 730-751 - C. 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. 752-792 - Giorgio Gnecco, Marcello Sanguineti:
Regularization Techniques and Suboptimal Solutions to Optimization Problems in Learning from Data. 793-829
Volume 22, Number 4, April 2010
- Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal:
Efficient Learning and Feature Selection in High-Dimensional Regression. 831-886 - Daniel 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. 887-905 - Thomas Deneux, Olivier D. Faugeras:
EEG-fMRI Fusion of Paradigm-Free Activity Using Kalman Filtering. 906-948 - Rohit Gandrakota, V. S. Chakravarthy, Ranjan K. Pradhan:
A Model of Indispensability of a Large Glial Layer in Cerebrovascular Circulation. 949-968 - Roberto C. Sotero, Ramón Martínez-Cancino:
Dynamical Mean Field Model of a Neural-Glial Mass. 969-997 - Tiger W. Lin, George N. Reeke Jr.:
A Continuous Entropy Rate Estimator for Spike Trains Using a K-Means-Based Context Tree. 998-1024 - P. S. Sastry, K. P. Unnikrishnan:
Conditional Probability-Based Significance Tests for Sequential Patterns in Multineuronal Spike Trains. 1025-1059 - Huijuan Fang, Yongji Wang, Jiping He:
Spiking Neural Networks for Cortical Neuronal Spike Train Decoding. 1060-1085 - Jen-Yung Chen:
A Simulation Study Investigating the Impact of Dendritic Morphology and Synaptic Topology on Neuronal Firing Patterns. 1086-1111
Volume 22, Number 5, May 2010
- Jiaxiang Zhang, Rafal Bogacz:
Optimal Decision Making on the Basis of Evidence Represented in Spike Trains. 1113-1148
- Tobias Larsen, David S. Leslie, Edmund J. Collins, Rafal Bogacz:
Posterior Weighted Reinforcement Learning with State Uncertainty. 1149-1179 - Terry Elliott:
A Non-Markovian Random Walk Underlies a Stochastic Model of Spike-Timing-Dependent Plasticity. 1180-1230 - Mengyuan Zhao, Satish Iyengar:
Nonconvergence in Logistic and Poisson Models for Neural Spiking. 1231-1244 - Sidney R. Lehky:
Decoding Poisson Spike Trains by Gaussian Filtering. 1245-1271 - Lars Büsing, Benjamin Schrauwen, Robert Legenstein:
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons. 1272-1311 - Samat Moldakarimov, Maxim Bazhenov, Terrence J. Sejnowski:
Representation Sharpening Can Explain Perceptual Priming. 1312-1332 - Xiaolin Hu, Bo Zhang:
A Gaussian Attractor Network for Memory and Recognition with Experience-Dependent Learning. 1333-1357 - Osamu Hoshino:
Alteration of Ambient GABA by Phasic and Tonic Neuronal Activation. 1358-1382 - Takashi Kanamaru, Kazuyuki Aihara:
Roles of Inhibitory Neurons in Rewiring-Induced Synchronization in Pulse-Coupled Neural Networks. 1383-1398
Volume 22, Number 6, June 2010
- Michael Pfeiffer, Bernhard Nessler, Rodney J. Douglas, Wolfgang Maass:
Reward-Modulated Hebbian Learning of Decision Making. 1399-1444
- Alessandro Scaglione, Karen A. Moxon, Guglielmo Foffani:
General Poisson Exact Breakdown of the Mutual Information to Study the Role of Correlations in Populations of Neurons. 1445-1467 - Michiel D'Haene, Benjamin Schrauwen:
Fast and Exact Simulation Methods Applied on a Broad Range of Neuron Models. 1468-1472
- Roland Memisevic, Geoffrey E. Hinton:
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines. 1473-1492 - Felix Creutzig, Jan Benda, Sandra Wohlgemuth, Andreas Stumpner, Bernhard Ronacher, Andreas V. M. Herz:
Timescale-Invariant Pattern Recognition by Feedforward Inhibition and Parallel Signal Processing. 1493-1510 - William H. Alexander, Joshua W. Brown:
Hyperbolically Discounted Temporal Difference Learning. 1511-1527 - Rubén Moreno-Bote, Néstor Parga:
Response of Integrate-and-Fire Neurons to Noisy Inputs Filtered by Synapses with Arbitrary Timescales: Firing Rate and Correlations. 1528-1572 - Arturo Berrones:
Bayesian Inference Based on Stationary Fokker-Planck Sampling. 1573-1596 - Pengsheng Zheng, Wansheng Tang, Jianxiong Zhang:
Efficient Continuous-Time Asymmetric Hopfield Networks for Memory Retrieval. 1597-1614 - Jaehyung Lee, Soo-Young Lee:
Learning the Dynamical System Behind Sensory Data. 1615-1645 - Jiucang Hao, Intae Lee, Te-Won Lee, Terrence J. Sejnowski:
Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior. 1646-1673
Volume 22, Number 7, July 2010
- Zbynek Pawlas, Lev Klebanov, Viktor Benes, Michaela Prokesová, Jirí Popelár, Petr Lánský:
First-Spike Latency in the Presence of Spontaneous Activity. 1675-1697 - Johannes Friedrich, Robert Urbanczik, Walter Senn:
Learning Spike-Based Population Codes by Reward and Population Feedback. 1698-1717 - Shun-ichi Amari:
Conditional Mixture Model for Correlated Neuronal Spikes. 1718-1736 - Bor-Sen Chen, Cheng-Wei Li:
On the Noise-Enhancing Ability of Stochastic Hodgkin-Huxley Neuron Systems. 1737-1763 - Gideon Gradwohl, Yoram Grossman:
Statistical Computer Model Analysis of the Reciprocal and Recurrent Inhibitory Postsynaptic Potentials in alpha-Motoneurons. 1764-1785 - Rubén Moreno-Bote:
Decision Confidence and Uncertainty in Diffusion Models with Partially Correlated Neuronal Integrators. 1786-1811 - Laurent U. Perrinet:
Role of Homeostasis in Learning Sparse Representations. 1812-1836 - Román Rossi Pool, Germán Mato:
Hebbian Plasticity and Homeostasis in a Model of Hypercolumn of the Visual Cortex. 1837-1859 - Jason Gauci, Kenneth O. Stanley:
Autonomous Evolution of Topographic Regularities in Artificial Neural Networks. 1860-1898 - Huajin Tang, Haizhou Li, Rui Yan:
Memory Dynamics in Attractor Networks with Saliency Weights. 1899-1926 - Ming-Jie Zhao, Herbert Jaeger:
Norm-Observable Operator Models. 1927-1959
Volume 22, Number 8, August 2010
- Lars Buesing, Wolfgang Maass:
A Spiking Neuron as Information Bottleneck. 1961-1992
- Ke Yuan, Mahesan Niranjan:
Estimating a State-Space Model from Point Process Observations: A Note on Convergence. 1993-2001
- Todd P. Coleman, Sridevi S. Sarma:
A Computationally Efficient Method for Nonparametric Modeling of Neural Spiking Activity with Point Processes. 2002-2030 - Angelo 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. 2031-2058 - Daniel Bush, Andrew Philippides, Phil Husbands, Michael O'Shea:
Reconciling the STDP and BCM Models of Synaptic Plasticity in a Spiking Recurrent Neural Network. 2059-2085 - Yingxue Wang, Shih-Chii Liu:
Multilayer Processing of Spatiotemporal Spike Patterns in a Neuron with Active Dendrites. 2086-2112 - Ahmet Omurtag, William W. Lytton:
Spectral Method and High-Order Finite Differences for the Nonlinear Cable Equation. 2113-2136 - Wei Zhou, Jacek M. Zurada:
Competitive Layer Model of Discrete-Time Recurrent Neural Networks with LT Neurons. 2137-2160 - Yansheng Ming, Zhanyi Hu:
Modeling Stereopsis via Markov Random Field. 2161-2191 - Nicolas Le Roux, Yoshua Bengio:
Deep Belief Networks Are Compact Universal Approximators. 2192-2207 - Intae Lee:
Sample-Spacings-Based Density and Entropy Estimators for Spherically Invariant Multidimensional Data. 2208-2227
Volume 22, Number 9, September 2010
- Barbara Hammer, Alexander Hasenfuss:
Topographic Mapping of Large Dissimilarity Data Sets. 2229-2284
- Hugo Larochelle, Yoshua Bengio, Joseph P. Turian:
Tractable Multivariate Binary Density Estimation and the Restricted Boltzmann Forest. 2285-2307 - Urs Köster, Aapo Hyvärinen:
A Two-Layer Model of Natural Stimuli Estimated with Score Matching. 2308-2333 - Payam 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. 2334-2368 - Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Masato Okada:
Extracting State Transition Dynamics from Multiple Spike Trains Using Hidden Markov Models with Correlated Poisson Distribution. 2369-2389 - Richard F. Lyon, Martin Rehn, Samy Bengio, Thomas C. Walters, Gal Chechik:
Sound Retrieval and Ranking Using Sparse Auditory Representations. 2390-2416 - Hideitsu Hino, Yu Fujimoto, Noboru Murata:
A Grouped Ranking Model for Item Preference Parameter. 2417-2451 - Robert C. Wilson, Matthew R. Nassar, Joshua I. Gold:
Bayesian Online Learning of the Hazard Rate in Change-Point Problems. 2452-2476
Volume 22, Number 10, October 2010
- Robert Haslinger, Gordon Pipa, Emery N. Brown:
Discrete Time Rescaling Theorem: Determining Goodness of Fit for Discrete Time Statistical Models of Neural Spiking. 2477-2506
- Daniel Calabuig, José F. Monserrat, Narcís Cardona:
Convergence and Stability of Quantized Hopfield Networks Operating in a Fully Parallel Mode. 2507-2521 - Anne C. Smith, Vinh Kha Nguyen, Mattias P. Karlsson, Loren M. Frank, Peter Smith:
Probability of Repeating Patterns in Simultaneous Neural Data. 2522-2536 - N. M. Fernandes, B. D. L. Pinto, Lírio Onofre Baptista de Almeida, Jan Frans Willem Slaets, Roland Köberle:
Recording from Two Neurons: Second-Order Stimulus Reconstruction from Spike Trains and Population Coding. 2537-2557 - Aniello Buonocore, Luigia Caputo, Enrica Pirozzi, Luigi M. Ricciardi:
On a Stochastic Leaky Integrate-and-Fire Neuronal Model. 2558-2585 - Satohiro Tajima, Hiromasa Takemura, Ikuya Murakami, Masato Okada:
Neuronal Population Decoding Explains the Change in Signal Detection Sensitivity Caused by Task-Irrelevant Perceptual Bias. 2586-2614 - Jun Wang, Hendrik Jan Hoogeboom, Linqiang Pan, Gheorghe Paun, Mario J. Pérez-Jiménez:
Spiking Neural P Systems with Weights. 2615-2646 - Mouhamad Jradeh:
A New Bidimensional Neural Field Model with Heterogeneous Connection Topology. 2647-2654 - Dongpo Xu, Huisheng Zhang, Lijun Liu:
Convergence Analysis of Three Classes of Split-Complex Gradient Algorithms for Complex-Valued Recurrent Neural Networks. 2655-2677 - Youngmin Cho, Lawrence K. Saul:
Large-Margin Classification in Infinite Neural Networks. 2678-2697 - Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre:
The MEE Principle in Data Classification: A Perceptron-Based Analysis. 2698-2728
Volume 22, Number 11, November 2010
- Tanya Schmah, Grigori Yourganov, Richard S. Zemel, Geoffrey E. Hinton, Steven L. Small, Stephen C. Strother:
Comparing Classification Methods for Longitudinal fMRI Studies. 2729-2762
- Christian Wehrhahn, Harald J. Teufel:
How Are Lateral Chromatic Interactions Computed from Cone Signals? 2763-2784 - Alexander J. Dubbs, Brad A. Seiler, Marcelo O. Magnasco:
A Fast p Spike Alignment Metric. 2785-2808 - Chrisantha Fernando, Richard A. Goldstein, Eörs Szathmáry:
The Neuronal Replicator Hypothesis. 2809-2857 - Yiming Ying, Colin Campbell:
Rademacher Chaos Complexities for Learning the Kernel Problem. 2858-2886 - Hideitsu Hino, Noboru Murata:
A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning. 2887-2923 - Aree Witoelar, Anarta Ghosh, J. J. G. de Vries, Barbara Hammer, Michael Biehl:
Window-Based Example Selection in Learning Vector Quantization. 2924-2961 - Qingshan Liu, Jinde Cao, Guanrong Chen:
A Novel Recurrent Neural Network with Finite-Time Convergence for Linear Programming. 2962-2978
Volume 22, Number 12, December 2010
- Stefan Klampfl, Wolfgang Maass:
A Theoretical Basis for Emergent Pattern Discrimination in Neural Systems Through Slow Feature Extraction. 2979-3035
- Reza Moazzezi, Peter Dayan:
Change-Based Inference in Attractor Nets: Linear Analysis. 3036-3061 - Hiroyuki Nakahara, Sivaramakrishnan Kaveri:
Internal-Time Temporal Difference Model for Neural Value-Based Decision Making. 3062-3106 - Charles F. Cadieu, Kilian Koepsell:
Phase Coupling Estimation from Multivariate Phase Statistics. 3107-3126 - Marcel van Gerven, Floris P. de Lange, Tom Heskes:
Neural Decoding with Hierarchical Generative Models. 3127-3142 - Bor-Sen Chen, Cheng-Wei Li:
Robust Observer-Based Tracking Control of Hodgkin-Huxley Neuron Systems Under Environmental Disturbances. 3143-3178 - Jesús Malo, Valero Laparra:
Psychophysically Tuned Divisive Normalization Approximately Factorizes the PDF of Natural Images. 3179-3206 - Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Jürgen Schmidhuber:
Deep, Big, Simple Neural Nets for Handwritten Digit Recognition. 3207-3220 - Hongzhi Tong, Di-Rong Chen, Fenghong Yang:
Least Square Regression with lp-Coefficient Regularization. 3221-3235
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