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ORCIDNeural Computation, Volume 19
Volume 19, Number 1, January 2007
- Alfonso Renart
, Rubén Moreno-Bote, Xiao-Jing Wang, Néstor Parga:
Mean-Driven and Fluctuation-Driven Persistent Activity in Recurrent Networks. 1-46 - Abigail Morrison, Sirko Straube, Hans Ekkehard Plesser, Markus Diesmann:
Exact Subthreshold Integration with Continuous Spike Times in Discrete-Time Neural Network Simulations. 47-79 - Colin Molter, Utku Salihoglu, Hugues Bersini:
The Road to Chaos by Time-Asymmetric Hebbian Learning in Recurrent Neural Networks. 80-110 - Mustafa C. Ozturk, Dongming Xu, José Carlos Príncipe:
Analysis and Design of Echo State Networks. 111-138 - Edmund T. Rolls, Simon M. Stringer:
Invariant Global Motion Recognition in the Dorsal Visual System: A Unifying Theory. 139-169 - John Porrill, Paul Dean:
Recurrent Cerebellar Loops Simplify Adaptive Control of Redundant and Nonlinear Motor Systems. 170-193 - James V. Stone, Peter E. Jupp:
Free-Lunch Learning: Modeling Spontaneous Recovery of Memory. 194-217 - Yoshitatsu Matsuda, Kazunori Yamaguchi:
Linear Multilayer ICA Generating Hierarchical Edge Detectors. 218-230 - Enrique F. Castillo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Carmen Castillo:
Functional Network Topology Learning and Sensitivity Analysis Based on ANOVA Decomposition. 231-257 - Ping Zhong, Masao Fukushima:
Second-Order Cone Programming Formulations for Robust Multiclass Classification. 258-282 - S. Sundararajan, Shirish K. Shevade, S. Sathiya Keerthi:
Fast Generalized Cross-Validation Algorithm for Sparse Model Learning. 283-301
Volume 19, Number 2, February 2007
- Vladislav Volman, Eshel Ben-Jacob, Herbert Levine:
The Astrocyte as a Gatekeeper of Synaptic Information Transfer. 303-326
- Kai M. Hynna, Kwabena Boahen:
Thermodynamically Equivalent Silicon Models of Voltage-Dependent Ion Channels. 327-350 - Osamu Hoshino:
Spatiotemporal Conversion of Auditory Information for Cochleotopic Mapping. 351-370 - Sander M. Bohté, Michael C. Mozer:
Reducing the Variability of Neural Responses: A Computational Theory of Spike-Timing-Dependent Plasticity. 371-403 - Quentin J. M. Huys, Richard S. Zemel, Rama Natarajan, Peter Dayan:
Fast Population Coding. 404-441 - Rafal Bogacz, Kevin N. Gurney:
The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions. 442-477 - Roberto C. Sotero, Nelson J. Trujillo-Barreto, Yasser Iturria-Medina, Felix Carbonell, Juan C. Jiménez:
Realistically Coupled Neural Mass Models Can Generate EEG Rhythms. 478-512 - Inge Koch, Kanta Naito:
Dimension Selection for Feature Selection and Dimension Reduction with Principal and Independent Component Analysis. 513-545 - Lei Xu:
One-Bit-Matching Theorem for ICA, Convex-Concave Programming on Polyhedral Set, and Distribution Approximation for Combinatorics. 546-569 - Xuyang Lou, Baotong Cui:
Boundedness and Stability for Integrodifferential Equations Modeling Neural Field with Time Delay. 570-581
Volume 19, Number 3, March 2007
- Jonathan Z. Simon, Didier A. Depireux, David J. Klein, Jonathan B. Fritz, Shihab A. Shamma:
Temporal Symmetry in Primary Auditory Cortex: Implications for Cortical Connectivity. 583-638
- Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner:
Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution. 639-671 - Wilson Truccolo, John P. Donoghue:
Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression. 672-705 - Ho Young Jeong, Boris S. Gutkin:
Synchrony of Neuronal Oscillations Controlled by GABAergic Reversal Potentials. 706-729 - Jun Morimoto, Kenji Doya:
Reinforcement Learning State Estimator. 730-756 - Jürgen Schmidhuber, Daan Wierstra, Matteo Gagliolo, Faustino J. Gomez:
Training Recurrent Networks by Evolino. 757-779 - Raul Kompass:
A Generalized Divergence Measure for Nonnegative Matrix Factorization. 780-791 - Wei Chu, S. Sathiya Keerthi:
Support Vector Ordinal Regression. 792-815 - Hyunjung Shin, Sungzoon Cho:
Neighborhood Property-Based Pattern Selection for Support Vector Machines. 816-855 - David J. Miller, Siddharth Pal:
Transductive Methods for the Distributed Ensemble Classification Problem. 856-884
Volume 19, Number 4, April 2007
- Jochen Triesch:
Synergies Between Intrinsic and Synaptic Plasticity Mechanisms. 885-909
- Anil K. Seth, Gerald M. Edelman:
Distinguishing Causal Interactions in Neural Populations. 910-933 - Mads Dyrholm, Scott Makeig, Lars Kai Hansen:
Model Selection for Convolutive ICA with an Application to Spatiotemporal Analysis of EEG. 934-955 - David R. C. Dominguez, Kostadin Koroutchev, Eduardo Serrano, Francisco de Borja Rodríguez Ortiz:
Information and Topology in Attractor Neural Networks. 956-973 - Gregory R. Stiesberg, Marcelo Bussotti Reyes, Pablo Varona, Reynaldo D. Pinto, Ramón Huerta:
Connection Topology Selection in Central Pattern Generators by Maximizing the Gain of Information. 974-993 - Tobias Blaschke, Tiziano Zito, Laurenz Wiskott:
Independent Slow Feature Analysis and Nonlinear Blind Source Separation. 994-1021 - Richard E. Turner, Maneesh Sahani:
A Maximum-Likelihood Interpretation for Slow Feature Analysis. 1022-1038 - Su Lee Goh, Danilo P. Mandic:
An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks. 1039-1055 - Peter Tiño:
Equilibria of Iterative Softmax and Critical Temperatures for Intermittent Search in Self-Organizing Neural Networks. 1056-1081 - Liefeng Bo, Ling Wang, Licheng Jiao:
Recursive Finite Newton Algorithm for Support Vector Regression in the Primal. 1082-1096 - Rasmus Kongsgaard Olsson, Kaare Brandt Petersen, Tue Lehn-Schiøler:
State-Space Models: From the EM Algorithm to a Gradient Approach. 1097-1111 - Shinichi Nakajima, Sumio Watanabe:
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance. 1112-1153
Volume 19, Number 5, May 2007
- Olivier Chapelle:
Training a Support Vector Machine in the Primal. 1155-1178 - Herman P. Snippe, J. H. van Hateren:
Dynamics of Nonlinear Feedback Control. 1179-1214 - Peter F. Rowat:
Interspike Interval Statistics in the Stochastic Hodgkin-Huxley Model: Coexistence of Gamma Frequency Bursts and Highly Irregular Firing. 1215-1250 - Jonathan E. Rubin, Kresimir Josic:
The Firing of an Excitable Neuron in the Presence of Stochastic Trains of Strong Synaptic Inputs. 1251-1294 - Santiago Jaramillo, Barak A. Pearlmutter:
Optimal Coding Predicts Attentional Modulation of Activity in Neural Systems. 1295-1312 - Udo Ernst, David Rotermund, Klaus Pawelzik:
Efficient Computation Based on Stochastic Spikes. 1313-1343 - Jeffrey M. Beck, Alexandre Pouget:
Exact Inferences in a Neural Implementation of a Hidden Markov Model. 1344-1361 - Peter A. Appleby, Terry Elliott:
Multispike Interactions in a Stochastic Model of Spike-Timing-Dependent Plasticity. 1362-1399 - Zonghua Zhang, Nikolaus F. Troje:
3D Periodic Human Motion Reconstruction from 2D Motion Sequences. 1400-1421 - Takahumi Oohori, Hidenori Naganuma, Kazuhisa Watanabe:
A New Backpropagation Learning Algorithm for Layered Neural Networks with Nondifferentiable Units. 1422-1435
Volume 19, Number 6, June 2007
- Abigail Morrison, Ad Aertsen, Markus Diesmann:
Spike-Timing-Dependent Plasticity in Balanced Random Networks. 1437-1467 - Razvan V. Florian:
Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity. 1468-1502 - Hideaki Shimazaki, Shigeru Shinomoto:
A Method for Selecting the Bin Size of a Time Histogram. 1503-1527 - Zhengdong Lu, Todd K. Leen:
Penalized Probabilistic Clustering. 1528-1567 - Jimmy Or:
Robustness of Connectionist Swimming Controllers Against Random Variation in Neural Connections. 1568-1588 - Youshen Xia, Mohamed S. Kamel:
A Measurement Fusion Method for Nonlinear System Identification Using a Cooperative Learning Algorithm. 1589-1632 - Lacey Gunter, Ji Zhu:
Efficient Computation and Model Selection for the Support Vector Regression. 1633-1655 - Feng Liu, Chai Quek, Geok See Ng:
A Novel Generic Hebbian Ordering-Based Fuzzy Rule Base Reduction Approach to Mamdani Neuro-Fuzzy System. 1656-1680
Volume 19, Number 7, July 2007
- Jonathon Shlens, Matthew B. Kennel, Henry D. I. Abarbanel, E. J. Chichilnisky:
Estimating Information Rates with Confidence Intervals in Neural Spike Trains. 1683-1719
- Ernst Niebur:
Generation of Synthetic Spike Trains with Defined Pairwise Correlations. 1720-1738 - Daniele Marinazzo, Hilbert J. Kappen, Stan C. A. M. Gielen:
Input-Driven Oscillations in Networks with Excitatory and Inhibitory Neurons with Dynamic Synapses. 1739-1765 - Jeremy A. Miller, Garrett T. Kenyon:
Extracting Number-Selective Responses from Coherent Oscillations in a Computer Model. 1766-1797 - Kenji Morita, Masato Okada, Kazuyuki Aihara:
Selectivity and Stability via Dendritic Nonlinearity. 1798-1853 - Naoki Masuda, Masato Okada, Kazuyuki Aihara:
Filtering of Spatial Bias and Noise Inputs by Spatially Structured Neural Networks. 1854-1870 - Christopher Johansson, Anders Lansner:
Imposing Biological Constraints onto an Abstract Neocortical Attractor Network Model. 1871-1896 - Stephan Hasler, Heiko Wersing, Edgar Körner:
Combining Reconstruction and Discrimination with Class-Specific Sparse Coding. 1897-1918 - Jooyoung Park, Daesung Kang, Jongho Kim, James T. Kwok, Ivor W. Tsang:
SVDD-Based Pattern Denoising. 1919-1938 - Shay B. Cohen, Gideon Dror, Eytan Ruppin:
Feature Selection via Coalitional Game Theory. 1939-1961 - Roberto P. Baragona, Francesco Battaglia:
Outliers Detection in Multivariate Time Series by Independent Component Analysis. 1962-1984
Volume 19, Number 8, August 2007
- Thomas Nowotny, Attila Szücs, Rafael Levi, Allen I. Selverston:
Models Wagging the Dog: Are Circuits Constructed with Disparate Parameters? 1985-2003
- Fei Sha, Yuanqing Lin, Lawrence K. Saul, Daniel D. Lee:
Multiplicative Updates for Nonnegative Quadratic Programming. 2004-2031 - Cheng Ly, Daniel Tranchina:
Critical Analysis of Dimension Reduction by a Moment Closure Method in a Population Density Approach to Neural Network Modeling. 2032-2092
- Thomas Burwick:
Oscillatory Neural Networks with Self-Organized Segmentation of Overlapping Patterns. 2093-2123 - Jianfu Ma, Jianhong Wu:
Multistability in Spiking Neuron Models of Delayed Recurrent Inhibitory Loops. 2124-2148 - Zhigang Zeng, Jun Wang:
Analysis and Design of Associative Memories Based on Recurrent Neural Networks with Linear Saturation Activation Functions and Time-Varying Delays. 2149-2182 - Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata:
Robust Loss Functions for Boosting. 2183-2244 - Dorit Baras, Ron Meir:
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule. 2245-2279
Volume 19, Number 9, September 2007
- R. Jacob Vogelstein, Udayan Mallik, Eugenio Culurciello, Gert Cauwenberghs, Ralph Etienne-Cummings:
A Multichip Neuromorphic System for Spike-Based Visual Information Processing. 2281-2300
- Joseph F. Murray, Kenneth Kreutz-Delgado:
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning. 2301-2352 - Carlos R. Cassanello, Vincent P. Ferrera:
Visual Remapping by Vector Subtraction: Analysis of Multiplicative Gain Field Models. 2353-2386 - Alexander S. Klyubin, Daniel Polani, Chrystopher L. Nehaniv:
Representations of Space and Time in the Maximization of Information Flow in the Perception-Action Loop. 2387-2432 - Judith E. Dayhoff:
Computational Properties of Networks of Synchronous Groups of Spiking Neurons. 2433-2467 - Kosuke Hamaguchi, Masato Okada, Kazuyuki Aihara:
Variable Timescales of Repeated Spike Patterns in Synfire Chain with Mexican-Hat Connectivity. 2468-2491 - Christof Cebulla:
Asymptotic Behavior and Synchronizability Characteristics of a Class of Recurrent Neural Networks. 2492-2514 - Takaaki Aoki, Toshio Aoyagi:
Self-Organizing Maps with Asymmetric Neighborhood Function. 2515-2535 - Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum:
Parametric Embedding for Class Visualization. 2536-2556 - Chun-Hou Zheng, De-Shuang Huang, Kang Li, George W. Irwin, Zhan-Li Sun:
MISEP Method for Postnonlinear Blind Source Separation. 2557-2578
Volume 19, Number 10, October 2007
- Chiara Bartolozzi, Giacomo Indiveri:
Synaptic Dynamics in Analog VLSI. 2581-2603
- Romain Brette:
Exact Simulation of Integrate-and-Fire Models with Exponential Currents. 2604-2609
- Alicia B. Abrams, James M. Hillis, David H. Brainard:
The Relation Between Color Discrimination and Color Constancy: When Is Optimal Adaptation Task Dependent? 2610-2637 - Burak Güçlü:
Deviation from Weber's Law in the Non-Pacinian I Tactile Channel: A Psychophysical and Simulation Study of Intensity Discrimination. 2638-2664 - Xu Miao, Rajesh P. N. Rao:
Learning the Lie Groups of Visual Invariance. 2665-2693 - Bernd Porr, Florentin Wörgötter:
Learning with "Relevance": Using a Third Factor to Stabilize Hebbian Learning. 2694-2719 - Takaaki Aoki, Toshio Aoyagi:
Synchrony-Induced Switching Behavior of Spike Pattern Attractors Created by Spike-Timing-Dependent Plasticity. 2720-2738 - Joaquín J. Torres, Jesús M. Cortés, Joaquín Marro, Hilbert J. Kappen:
Competition Between Synaptic Depression and Facilitation in Attractor Neural Networks. 2739-2755 - Chih-Jen Lin:
Projected Gradient Methods for Nonnegative Matrix Factorization. 2756-2779 - Shun-ichi Amari:
Integration of Stochastic Models by Minimizing alpha-Divergence. 2780-2796 - David H. Goldberg, Andreas G. Andreou:
Distortion of Neural Signals by Spike Coding. 2797-2839 - Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie:
Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. 2840-2864
Volume 19, Number 11, November 2007
- Bardia F. Behabadi, Bartlett W. Mel:
J4 at Sweet 16: A New Wrinkle? 2865-2870 - Heng Lian:
On the Consistency of Bayesian Function Approximation Using Step Functions. 2871-2880
- Joseph M. Brader, Walter Senn, Stefano Fusi:
Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics. 2881-2912 - Marcelo A. Montemurro, Riccardo Senatore, Stefano Panzeri:
Tight Data-Robust Bounds to Mutual Information Combining Shuffling and Model Selection Techniques. 2913-2957 - Eilif B. Muller, Lars Buesing, Johannes Schemmel, Karlheinz Meier:
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories. 2958-3010 - Andreas Kaltenbrunner, Vicenç Gómez, Vicente López:
Phase Transition and Hysteresis in an Ensemble of Stochastic Spiking Neurons. 3011-3050 - Hajime Fujita, Shin Ishii:
Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation. 3051-3087 - Hyun-Chul Kim, Jaewook Lee:
Clustering Based on Gaussian Processes. 3088-3107 - André Grüning:
Elman Backpropagation as Reinforcement for Simple Recurrent Networks. 3108-3131
Volume 19, Number 12, December 2007
- Sungho Hong, Blaise Agüera y Arcas, Adrienne L. Fairhall:
Single Neuron Computation: From Dynamical System to Feature Detector. 3133-3172 - Mark C. Fuhs, David S. Touretzky:
Context Learning in the Rodent Hippocampus. 3173-3215
- Mark D. Humphries, Kevin N. Gurney:
Solution Methods for a New Class of Simple Model Neurons. 3216-3225 - Arnaud Tonnelier, Hana Belmabrouk, Dominique Martinez:
Event-Driven Simulations of Nonlinear Integrate-and-Fire Neurons. 3226-3238
- Maoz Shamir, Kamal Sen, H. Steven Colburn:
Temporal Coding of Time-Varying Stimuli. 3239-3261 - Hédi Soula, Carson C. Chow:
Stochastic Dynamics of a Finite-Size Spiking Neural Network. 3262-3292 - Philipp Wolfrum, Christoph von der Malsburg:
What Is the Optimal Architecture for Visual Information Routing? 3293-3309 - Osamu Hoshino:
Enhanced Sound Perception by Widespread-Onset Neuronal Responses in Auditory Cortex. 3310-3334 - Yoshiyuki Sato, Taro Toyoizumi, Kazuyuki Aihara:
Bayesian Inference Explains Perception of Unity and Ventriloquism Aftereffect: Identification of Common Sources of Audiovisual Stimuli. 3335-3355 - Yan Xiong, Wei Wu, Xidai Kang, Chao Zhang:
Training Pi-Sigma Network by Online Gradient Algorithm with Penalty for Small Weight Update. 3356-3368 - Kiruthika Ramanathan, Sheng Uei Guan:
Multiorder Neurons for Evolutionary Higher-Order Clustering and Growth. 3369-3391 - Kuang-Hui Lin, Chih-Wen Shih:
Multiple Almost Periodic Solutions in Nonautonomous Delayed Neural Networks. 3392-3420
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