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ORCIDNeural Computation, Volume 25
Volume 25, Number 1, January 2013
- Daniel Martí, John Rinzel:
Dynamics of Feature Categorization. 1-45 - Marifi Güler:
Stochastic Hodgkin-Huxley Equations with Colored Noise Terms in the Conductances. 46-74 - Gideon Gradwohl, Yoram Grossman
:
Statistical Computer Model Analysis of the Reciprocal and Recurrent Inhibitions of the Ia-EPSP in α-Motoneurons. 75-100 - Victor Solo, Syed Ahmed Pasha:
Point-Process Principal Components Analysis via Geometric Optimization. 101-122 - Michael John O'Brien, Narayan Srinivasa:
A Spiking Neural Model for Stable Reinforcement of Synapses Based on Multiple Distal Rewards. 123-156 - Jung Hoon Lee, Joji Tsunada, Yale E. Cohen:
A Model of the Differential Representation of Signal Novelty in the Local Field Potentials and Spiking Activity of the Ventrolateral Prefrontal Cortex. 157-185 - Cesar F. Caiafa, Andrzej Cichocki:
Computing Sparse Representations of Multidimensional Signals Using Kronecker Bases. 186-220 - Benjamin J. H. Smith, Chakravarthini M. Saaj, Elie Allouis:
ANUBIS: Artificial Neuromodulation Using a Bayesian Inference System. 221-258 - Luqman R. Bachtiar, Charles P. Unsworth, Richard D. Newcomb, Edmund J. Crampin:
Multilayer Perceptron Classification of Unknown Volatile Chemicals from the Firing Rates of Insect Olfactory Sensory Neurons and Its Application to Biosensor Design. 259-287
Volume 25, Number 2, February 2013
- Nicholas Cain, Eric Shea-Brown:
Impact of Correlated Neural Activity on Decision-Making Performance. 289-327
- Auke Jan Ijspeert, Jun Nakanishi, Heiko Hoffmann, Peter Pastor, Stefan Schaal:
Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors. 328-373 - Manuel Lagang, Lakshminarayan Srinivasan:
Stochastic Optimal Control as a Theory of Brain-Machine Interface Operation. 374-417 - Matthew T. Harrison:
Accelerated Spike Resampling for Accurate Multiple Testing Controls. 418-449 - Jun Hu, Huajin Tang, Kay Chen Tan, Haizhou Li, Luping Shi:
A Spike-Timing-Based Integrated Model for Pattern Recognition. 450-472 - Ioana Sporea, André Grüning:
Supervised Learning in Multilayer Spiking Neural Networks. 473-509 - Klaus M. Stiefel, Jonathan Tapson, André van Schaik:
Temporal Order Detection and Coding in Nervous Systems. 510-531 - Samuel Epstein, Margrit Betke:
The Kernel Semi-Least Squares Method for Sparse Distance Approximation. 532-548 - Olivier Bichler, Weisheng Zhao, Fabien Alibart, Stéphane Pleutin, Stéphane Lenfant, Dominique Vuillaume, Christian Gamrat:
Pavlov's Dog Associative Learning Demonstrated on Synaptic-Like Organic Transistors. 549-566
Volume 25, Number 3, March 2013
- Tom Diethe, Mark A. Girolami:
Online Learning with (Multiple) Kernels: A Review. 567-625
- David Sussillo, Omri Barak:
Opening the Black Box: Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks. 626-649
- Tim Tambuyzer, Tariq Ahmed, C. James Taylor, Daniel Berckmans, Detlef Balschun, Jean-Marie Aerts:
System Identification of mGluR-Dependent Long-Term Depression. 650-670 - Manjunath Gandhi, Herbert Jaeger:
Echo State Property Linked to an Input: Exploring a Fundamental Characteristic of Recurrent Neural Networks. 671-696 - Ning Qian, Yu Jiang, Zhong-Ping Jiang, Pietro Mazzoni:
Movement Duration, Fitts's Law, and an Infinite-Horizon Optimal Feedback Control Model for Biological Motor Systems. 697-724 - Taiji Suzuki, Masashi Sugiyama:
Sufficient Dimension Reduction via Squared-Loss Mutual Information Estimation. 725-758 - Akiko Takeda, Hiroyuki Mitsugi, Takafumi Kanamori:
A Unified Classification Model Based on Robust Optimization. 759-804 - KyungHyun Cho, Tapani Raiko, Alexander Ilin:
Enhanced Gradient for Training Restricted Boltzmann Machines. 805-831
Volume 25, Number 4, April 2013
- Jiajia Yuan, Stanley Chan, Duncan Mortimer, Huyen Nguyen, Geoffrey J. Goodhill:
Optimality and Saturation in Axonal Chemotaxis. 833-853 - Shinsuke Koyama, Takahiro Omi, Robert E. Kass, Shigeru Shinomoto:
Information Transmission Using Non-Poisson Regular Firing. 854-876 - Jakub Nowacki, Hinke M. Osinga, Krasimira Tsaneva-Atanasova:
Continuation-Based Numerical Detection of After-Depolarization and Spike-Adding Thresholds. 877-900 - Kyle Q. Lepage, Mark A. Kramer, Uri T. Eden:
Some Sampling Properties of Common Phase Estimators. 901-921 - Saeed Saremi, Terrence J. Sejnowski, Tatyana O. Sharpee:
Double-Gabor Filters Are Independent Components of Small Translation-Invariant Image Patches. 922-939 - Andrea Soltoggio, Jochen J. Steil:
Solving the Distal Reward Problem with Rare Correlations. 940-978 - Yusuke Fujiwara, Yoichi Miyawaki, Yukiyasu Kamitani:
Modular Encoding and Decoding Models Derived from Bayesian Canonical Correlation Analysis. 979-1005 - Guillermo A. Ludueña, Claudius Gros:
A Self-Organized Neural Comparator. 1006-1028 - Giorgio Gnecco, Marco Gori, Marcello Sanguineti:
Learning with Boundary Conditions. 1029-1106 - Hong Chen, Zhibin Pan, Luoqing Li, Yuan Yan Tang:
Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection. 1107-1121
Volume 25, Number 5, May 2013
- Gordon Pipa, Sonja Grün, Carl van Vreeswijk:
Impact of Spike Train Autostructure on Probability Distribution of Joint Spike Events. 1123-1163 - Osamu Hoshino:
Ambient GABA Responsible for Age-Related Changes in Multistable Perception. 1164-1190 - Luis A. Camuñas-Mesa, Rodrigo Quian Quiroga:
A Detailed and Fast Model of Extracellular Recordings. 1191-1212 - Frederik Eaton, Zoubin Ghahramani:
Model Reductions for Inference: Generality of Pairwise, Binary, and Planar Factor Graphs. 1213-1260 - Jasmin Léveillé, Thomas Hannagan:
Learning Spatial Invariance with the Trace Rule in Nonuniform Distributions. 1261-1276 - Naimin Zhang:
Semistability of Steepest Descent with Momentum for Quadratic Functions. 1277-1301 - Ching-Pei Lee, Chih-Jen Lin:
A Study on L2-Loss (Squared Hinge-Loss) Multiclass SVM. 1302-1323 - Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama:
Relative Density-Ratio Estimation for Robust Distribution Comparison. 1324-1370
Volume 25, Number 6, June 2013
- Stefan Habenschuss, Helmut Puhr, Wolfgang Maass:
Emergence of Optimal Decoding of Population Codes Through STDP. 1371-1407 - Edward W. J. Wallace, Hamid Reza Maei, Peter E. Latham:
Randomly Connected Networks Have Short Temporal Memory. 1408-1439
- Masahiko Fujita:
New Supervised Learning Theory Applied to Cerebellar Modeling for Suppression of Variability of Saccade End Points. 1440-1471 - Yan Xu, Xiaoqin Zeng, Shuiming Zhong:
A New Supervised Learning Algorithm for Spiking Neurons. 1472-1511 - Tingting Zhao, Hirotaka Hachiya, Voot Tangkaratt, Jun Morimoto, Masashi Sugiyama:
Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration. 1512-1547 - Sascha Klement, Silke Anders, Thomas Martinetz:
The Support Feature Machine: Classification with the Least Number of Features and Application to Neuroimaging Data. 1548-1584 - Heeyoul Choi, Seungjin Choi, Yoonsuck Choe:
Parameter Learning for Alpha Integration. 1585-1604 - Zhitang Chen, Laiwan Chan:
Causality in Linear Nongaussian Acyclic Models in the Presence of Latent Gaussian Confounders. 1605-1641 - Lei Xu, Peter G. Jeavons:
Simple Neural-Like P Systems for Maximal Independent Set Selection. 1642-1659
Volume 25, Number 7, July 2013
- Kanaka Rajan, Olivier Marre, Gasper Tkacik:
Learning Quadratic Receptive Fields from Neural Responses to Natural Stimuli. 1661-1692
- Siddharth Dangi, Amy L. Orsborn, Helene G. Moorman, Jose M. Carmena:
Design and Analysis of Closed-Loop Decoder Adaptation Algorithms for Brain-Machine Interfaces. 1693-1731
- Alberto Bernacchia, Xiao-Jing Wang:
Decorrelation by Recurrent Inhibition in Heterogeneous Neural Circuits. 1732-1767 - N. Alex Cayco-Gajic, Eric Shea-Brown:
Neutral Stability, Rate Propagation, and Critical Branching in Feedforward Networks. 1768-1806 - Kai Wang, Jorge J. Riera, Herve Enjieu-Kadji, Ryuta Kawashima:
The Role of Extracellular Conductivity Profiles in Compartmental Models for Neurons: Particulars for Layer 5 Pyramidal Cells. 1807-1852 - Takumi Uramoto, Hiroyuki Torikai:
A Calcium-Based Simple Model of Multiple Spike Interactions in Spike-Timing-Dependent Plasticity. 1853-1869 - Joel Kaardal, Jeffrey D. Fitzgerald, Michael J. Berry II, Tatyana O. Sharpee:
Identifying Functional Bases for Multidimensional Neural Computations. 1870-1890 - Carina Curto, Vladimir Itskov, Katherine Morrison, Zachary Roth, Judy L. Walker:
Combinatorial Neural Codes from a Mathematical Coding Theory Perspective. 1891-1925 - Nima Reyhani:
Multiple Spectral Kernel Learning and a Gaussian Complexity Computation. 1926-1951
Volume 25, Number 8, August 2013
- Robert Haslinger, Gordon Pipa, Laura D. Lewis, Danko Nikolic, Ziv Williams, Emery N. Brown:
Encoding Through Patterns: Regression Tree-Based Neuronal Population Models. 1953-1993 - Yashar Ahmadian, Daniel B. Rubin, Kenneth D. Miller:
Analysis of the Stabilized Supralinear Network. 1994-2037
- Stephen I. Gallant, T. Wendy Okaywe:
Representing Objects, Relations, and Sequences. 2038-2078 - Lars Marstaller, Arend Hintze, Christoph Adami:
The Evolution of Representation in Simple Cognitive Networks. 2079-2107 - Hongzhi You, Da-Hui Wang:
Dynamics of Multiple-Choice Decision Making. 2108-2145 - Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek:
EEG Data Space Adaptation to Reduce Intersession Nonstationarity in Brain-Computer Interface. 2146-2171 - Shiqian Ma, Lingzhou Xue, Hui Zou:
Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection. 2172-2198 - Faming Liang, Ick-Hoon Jin:
A Monte Carlo Metropolis-Hastings Algorithm for Sampling from Distributions with Intractable Normalizing Constants. 2199-2234
Volume 25, Number 9, September 2013
- Sidney R. Lehky, Margaret E. Sereno, Anne B. Sereno:
Population Coding and the Labeling Problem: Extrinsic Versus Intrinsic Representations. 2235-2264
- Ioannis Smyrnakis, Stelios M. Smirnakis:
Information Transfer Through Stochastic Transmission of a Linear Combination of Rates. 2265-2302 - Andreas Steimer, Rodney J. Douglas:
Spike-Based Probabilistic Inference in Analog Graphical Models Using Interspike-Interval Coding. 2303-2354 - Marifi Güler:
An Investigation of the Stochastic Hodgkin-Huxley Models Under Noisy Rate Functions. 2355-2372 - Kevin C. Kowalski, Bryan D. He, Lakshminarayan Srinivasan:
Dynamic Analysis of Naive Adaptive Brain-Machine Interfaces. 2373-2420 - Florian Raudies, Stefan Ringbauer, Heiko Neumann:
A Bio-Inspired, Computational Model Suggests Velocity Gradients of Optic Flow Locally Encode Ordinal Depth at Surface Borders and Globally They Encode Self-Motion. 2421-2449 - Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, Peter Tiño, César Hervás-Martínez:
Exploitation of Pairwise Class Distances for Ordinal Classification. 2450-2485 - S. Easter Selvan, Pierre B. Borckmans, Amit Chattopadhyay, Pierre-Antoine Absil:
Spherical Mesh Adaptive Direct Search for Separating Quasi-Uncorrelated Sources by Range-Based Independent Component Analysis. 2486-2522
Volume 25, Number 10, October 2013
- Sandro Romani, Itai Pinkoviezky, Alon Rubin, Misha Tsodyks:
Scaling Laws of Associative Memory Retrieval. 2523-2544
- Ramana Dodla, Charles J. Wilson:
Effect of Phase Response Curve Skewness on Synchronization of Electrically Coupled Neuronal Oscillators. 2545-2610 - Toby Lightheart, Steven Grainger, Tien-Fu Lu:
Spike-Timing-Dependent Construction. 2611-2645 - Vladislav Volman, Laurel J. Ng:
Computer Modeling of Mild Axonal Injury: Implications for Axonal Signal Transmission. 2646-2681 - Cheng Ly:
A Principled Dimension-Reduction Method for the Population Density Approach to Modeling Networks of Neurons with Synaptic Dynamics. 2682-2708 - Xinyang Li, Haihong Zhang, Cuntai Guan, Sim Heng Ong, Kai Keng Ang, Yaozhang Pan:
Discriminative Learning of Propagation and Spatial Pattern for Motor Imagery EEG Analysis. 2709-2733 - Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus Christoffel du Plessis, Song Liu, Ichiro Takeuchi:
Density-Difference Estimation. 2734-2775 - Le Hoai Minh, Le Thi Hoai An, Tao Pham Dinh, Ngai Van Huynh:
Block Clustering Based on Difference of Convex Functions (DC) Programming and DC Algorithms. 2776-2807
Volume 25, Number 11, November 2013
- Fabian H. Sinz, Matthias Bethge:
What Is the Limit of Redundancy Reduction with Divisive Normalization? 2809-2814 - Mathieu Galtier, Gilles Wainrib:
A Biological Gradient Descent for Prediction Through a Combination of STDP and Homeostatic Plasticity. 2815-2832 - John H. C. Palmer, Pulin Gong:
Formation and Regulation of Dynamic Patterns in Two-Dimensional Spiking Neural Circuits with Spike-Timing-Dependent Plasticity. 2833-2857 - Carina Curto, Anda Degeratu, Vladimir Itskov:
Encoding Binary Neural Codes in Networks of Threshold-Linear Neurons. 2858-2903 - Matthew Chalk, Iain Murray, Peggy Seriès:
Attention as Reward-Driven Optimization of Sensory Processing. 2904-2933 - Renan Cipriano Moioli, Phil Husbands:
Neuronal Assembly Dynamics in Supervised and Unsupervised Learning Scenarios. 2934-2975 - Ryan F. Kirwan, Alice Miller, Bernd Porr, Paolo di Prodi:
Formal Modeling of Robot Behavior with Learning. 2976-3019 - Vassilis Vassiliades, Chris Christodoulou:
Toward Nonlinear Local Reinforcement Learning Rules Through Neuroevolution. 3020-3043 - Bruno D. Damas, José Santos-Victor:
Online Learning of Single- and Multivalued Functions with an Infinite Mixture of Linear Experts. 3044-3091
Volume 25, Number 12, December 2013
- Kiyohito Iigaya, Stefano Fusi:
Dynamical Regimes in Neural Network Models of Matching Behavior. 3093-3112 - Jan-Moritz P. Franosch, Sebastian Urban, J. Leo van Hemmen:
Supervised Spike-Timing-Dependent Plasticity: A Spatiotemporal Neuronal Learning Rule for Function Approximation and Decisions. 3113-3130
- Timothée G. Leleu, Kazuyuki Aihara:
Spontaneous Slow Oscillations and Sequential Patterns Due to Short-Term Plasticity in a Model of the Cortex. 3131-3182 - Gautam Kumar, Mayuresh V. Kothare:
On the Continuous Differentiability of Inter-Spike Intervals of Synaptically Connected Cortical Spiking Neurons in a Neuronal Network. 3183-3206 - Tanushree B. Luke, Ernest Barreto, Paul So:
Complete Classification of the Macroscopic Behavior of a Heterogeneous Network of Theta Neurons. 3207-3234 - Osamu Hoshino:
Deficient GABAergic Gliotransmission May Cause Broader Sensory Tuning in Schizophrenia. 3235-3262 - Samuel A. Neymotin, George L. Chadderdon, Cliff C. Kerr, Joseph T. Francis, William W. Lytton:
Reinforcement Learning of Two-Joint Virtual Arm Reaching in a Computer Model of Sensorimotor Cortex. 3263-3293 - Lijiang Chen, Xia Mao, Pengfei Wei, Angelo Compare:
Speech Emotional Features Extraction Based on Electroglottograph. 3294-3317 - Diego Vidaurre, Marcel A. J. van Gerven, Concha Bielza, Pedro Larrañaga, Tom Heskes:
Bayesian Sparse Partial Least Squares. 3318-3339
- Tianping Chen:
Some Remarks on "Almost Periodic Dynamics of a Class of Delayed Neural Networks with Discontinuous Activations". 3340-3342
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