Volume 20,
Number 1,
January 2008
Article
Letters
- Bernhard Englitz, Klaus M. Stiefel, Terrence J. Sejnowski:
Irregular Firing of Isolated Cortical Interneurons in Vitro Driven by Intrinsic Stochastic Mechanisms.
44-64
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- Jeffrey J. Lovelace, Krzysztof J. Cios:
A Very Simple Spiking Neuron Model That Allows for Modeling of Large, Complex Systems.
65-90
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- Sophie Deneve:
Bayesian Spiking Neurons I: Inference.
91-117
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- Sophie Deneve:
Bayesian Spiking Neurons II: Learning.
118-145
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- F. Klam, Richard S. Zemel, Alexandre Pouget:
Population Coding with Motion Energy Filters: The Impact of Correlations.
146-175
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- Nicholas V. Swindale:
Feedback Decoding of Spatially Structured Population Activity in Cortical Maps.
176-204
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- Aaron Raftery, Joseph Cusumano, Dagmar Sternad:
Chaotic Frequency Scaling in a Coupled Oscillator Model for Free Rhythmic Actions.
205-226
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- Yutaka Sakai, Tomoki Fukai:
The Actor-Critic Learning Is Behind the Matching Law: Matching Versus Optimal Behaviors.
227-251
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- Vera Kurková:
Minimization of Error Functionals over Perceptron Networks.
252-270
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- Tilman Knebel, Sepp Hochreiter, Klaus Obermayer:
An SMO Algorithm for the Potential Support Vector Machine.
271-287
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- Robert A. Legenstein, Wolfgang Maass:
On the Classification Capability of Sign-Constrained Perceptrons.
288-309
Electronic Edition (link) BibTeX
Volume 20,
Number 2,
February 2008
Articles
Note
Letters
- Christoph Börgers, Nancy Kopell:
Gamma Oscillations and Stimulus Selection.
383-414
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- Ryosuke Hosaka, Osamu Araki, Tohru Ikeguchi:
STDP Provides the Substrate for Igniting Synfire Chains by Spatiotemporal Input Patterns.
415-435
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- Natalia Toporikova, Joël Tabak, Marc E. Freeman, Richard Bertram:
A-Type K+ Current Can Act as a Trigger for Bursting in the Absence of a Slow Variable.
436-451
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- Christian K. Machens, Carlos D. Brody:
Design of Continuous Attractor Networks with Monotonic Tuning Using a Symmetry Principle.
452-485
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- Stephen Jose Hanson, Yaroslav O. Halchenko:
Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No "Face" Identification Area.
486-503
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- Tatiana Miazhynskaia, Sylvia Frühwirth-Schnatter, Georg Dorffner:
Neural Network Models for Conditional Distribution Under Bayesian Analysis.
504-522
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- Geert Gins, Ilse Y. Smets, Jan F. M. Van Impe:
Efficient Tracking of the Dominant Eigenspace of a Normalized Kernel Matrix.
523-554
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- Junbin Gao:
Robust L1 Principal Component Analysis and Its Bayesian Variational Inference.
555-572
Electronic Edition (link) BibTeX
- Matthias Ihme, Alison L. Marsden, Heinz Pitsch:
Generation of Optimal Artificial Neural Networks Using a Pattern Search Algorithm: Application to Approximation of Chemical Systems.
573-601
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Volume 20,
Number 3,
March 2008
Article
Note
Letters
- Vladimir Itskov, Carina Curto, Kenneth D. Harris:
Valuations for Spike Train Prediction.
644-667
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- Christopher DiMattina, Kechen Zhang:
How Optimal Stimuli for Sensory Neurons Are Constrained by Network Architecture.
668-708
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- Patrick Byrne, Suzanna Becker:
A Principle for Learning Egocentric-Allocentric Transformation.
709-737
Electronic Edition (link) BibTeX
- Daniel J. Jacobsen, Lars Kai Hansen, Kristoffer Hougaard Madsen:
Bayesian Model Comparison in Nonlinear BOLD fMRI Hemodynamics.
738-755
Electronic Edition (link) BibTeX
- Timothy M. Hospedales, Mark C. W. van Rossum, Bruce P. Graham, Mayank B. Dutia:
Implications of Noise and Neural Heterogeneity for Vestibulo-Ocular Reflex Fidelity.
756-778
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- Shay Ben-Itzhak, Amir Karniel:
Minimum Acceleration Criterion with Constraints Implies Bang-Bang Control as an Underlying Principle for Optimal Trajectories of Arm Reaching Movements.
779-812
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- Haikun Wei, Jun Zhang, Florent Cousseau, Tomoko Ozeki, Shun-ichi Amari:
Dynamics of Learning Near Singularities in Layered Networks.
813-843
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- Youshen Xia, Mohamed S. Kamel:
A Cooperative Recurrent Neural Network for Solving L1 Estimation Problems with General Linear Constraints.
844-872
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Volume 20,
Number 4,
April 2008
Review
Article
Letters
Volume 20,
Number 5,
May 2008
Article
Note
Letters
- Lawrence Sirovich:
Populations of Tightly Coupled Neurons: The RGC/LGN System.
1179-1210
Electronic Edition (link) BibTeX
- Gaby Schneider:
Messages of Oscillatory Correlograms: A Spike Train Model.
1211-1238
Electronic Edition (link) BibTeX
- Brian Nils Lundstrom, Sungho Hong, Matthew H. Higgs, Adrienne L. Fairhall:
Two Computational Regimes of a Single-Compartment Neuron Separated by a Planar Boundary in Conductance Space.
1239-1260
Electronic Edition (link) BibTeX
- Cornelius Weber, Jochen Triesch:
A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity.
1261-1284
Electronic Edition (link) BibTeX
- Kay Thurley, Christian Leibold, Anja Gundlfinger, Dietmar Schmitz, Richard Kempter:
Phase Precession Through Synaptic Facilitation.
1285-1324
Electronic Edition (link) BibTeX
- Zbynek Pawlas, Lev Klebanov, Martin Prokop, Petr Lánský:
Parameters of Spike Trains Observed in a Short Time Window.
1325-1343
Electronic Edition (link) BibTeX
- Marc M. Van Hulle:
Sequential Fixed-Point ICA Based on Mutual Information Minimization.
1344-1365
Electronic Edition (link) BibTeX
- Qingshan Liu, Jun Wang:
A One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear Programming.
1366-1383
Electronic Edition (link) BibTeX
Volume 20,
Number 6,
June 2008
Article
Letters
- Kukjin Kang, Shun-ichi Amari:
Discrimination with Spike Times and ISI Distributions.
1411-1426
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- Minjoon Kouh, Tomaso Poggio:
A Canonical Neural Circuit for Cortical Nonlinear Operations.
1427-1451
Electronic Edition (link) BibTeX
- Xiangyu Tang, Christoph von der Malsburg:
Figure-Ground Separation by Cue Integration.
1452-1472
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- Christopher Parisien, Charles H. Anderson, Chris Eliasmith:
Solving the Problem of Negative Synaptic Weights in Cortical Models.
1473-1494
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- Conor Houghton, Kamal Sen:
A New Multineuron Spike Train Metric.
1495-1511
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- José Ambros-Ingerson, Lawrence M. Grover, William R. Holmes:
A Classification Method to Distinguish Cell-Specific Responses Elicited by Current Pulses in Hippocampal CA1 Pyramidal Cells.
1512-1536
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- Ben Willmore, Ryan J. Prenger, Michael C.-K. Wu, Jack L. Gallant:
The Berkeley Wavelet Transform: A Biologically Inspired Orthogonal Wavelet Transform.
1537-1564
Electronic Edition (link) BibTeX
- Kar-Ann Toh:
Deterministic Neural Classification.
1565-1595
Electronic Edition (link) BibTeX
- Takashi Takenouchi, Shinto Eguchi, Noboru Murata, Takafumi Kanamori:
Robust Boosting Algorithm Against Mislabeling in Multiclass Problems.
1596-1630
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- Nicolas Le Roux, Yoshua Bengio:
Representational Power of Restricted Boltzmann Machines and Deep Belief Networks.
1631-1649
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Volume 20,
Number 7,
July 2008
Article
Note
Letters
- Xiaoshen Li, Giorgio A. Ascoli:
Effects of Synaptic Synchrony on the Neuronal Input-Output Relationship.
1717-1731
Electronic Edition (link) BibTeX
- Claude Meunier, Boris Lamotte d'Incamps:
Extending Cable Theory to Heterogeneous Dendrites.
1732-1775
Electronic Edition (link) BibTeX
- Shinsuke Koyama, Robert E. Kass:
Spike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons.
1776-1795
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- Thomas Burwick:
Temporal Coding: Assembly Formation Through Constructive Interference.
1796-1820
Electronic Edition (link) BibTeX
- J. H. Van Hateren:
Fast Recursive Filters for Simulating Nonlinear Dynamic Systems.
1821-1846
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- Mark C. W. van Rossum, Matthijs A. A. van der Meer, Dengke Xiao, Mike W. Oram:
Adaptive Integration in the Visual Cortex by Depressing Recurrent Cortical Circuits.
1847-1872
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- L. Lo Gerfo, Lorenzo Rosasco, Francesca Odone, Ernesto De Vito, Alessandro Verri:
Spectral Algorithms for Supervised Learning.
1873-1897
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Volume 20,
Number 8,
August 2008
Articles
Letter
- Takashi Kanamaru, Kazuyuki Aihara:
Stochastic Synchrony of Chaos in a Pulse-Coupled Neural Network with Both Chemical and Electrical Synapses Among Inhibitory Neurons.
1951-1972
Electronic Edition (link) BibTeX
- Benjamin Staude, Stefan Rotter, Sonja Grün:
Can Spike Coordination Be Differentiated from Rate Covariation?
1973-1999
Electronic Edition (link) BibTeX
- Paul A. Rhodes:
Recoding Patterns of Sensory Input: Higher-Order Features and the Function of Nonlinear Dendritic Trees.
2000-2036
Electronic Edition (link) BibTeX
- Xi Shen, Xiaobin Lin, Philippe De Wilde:
Oscillations and Spiking Pairs: Behavior of a Neuronal Model with STDP Learning.
2037-2069
Electronic Edition (link) BibTeX
- Joshua N. Milstein, Christof Koch:
Dynamic Moment Analysis of the Extracellular Electric Field of a Biologically Realistic Spiking Neuron.
2070-2084
Electronic Edition (link) BibTeX
- M. N. Abdelghani, T. P. Lillicrap, D. B. Tweed:
Sensitivity Derivatives for Flexible Sensorimotor Learning.
2085-2111
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- Morten Mørup, Lars Kai Hansen, Sidse M. Arnfred:
Algorithms for Sparse Nonnegative Tucker Decompositions.
2112-2131
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Volume 20,
Number 9,
September 2008
Articles
Note
Letters
Volume 20,
Number 10,
October 2008
Article
Letters
- Germán Mato, Inés Samengo:
Type I and Type II Neuron Models Are Selectively Driven by Differential Stimulus Features.
2418-2440
Electronic Edition (link) BibTeX
- Jörg Lücke, Christian Keck, Christoph von der Malsburg:
Rapid Convergence to Feature Layer Correspondences.
2441-2463
Electronic Edition (link) BibTeX
- Eric K. C. Tsang, Bertram Emil Shi:
Normalization Enables Robust Validation of Disparity Estimates from Neural Populations.
2464-2490
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- Garipelli Gangadhar, Denny Joseph, V. Srinivasa Chakravarthy:
Understanding Parkinsonian Handwriting Through a Computational Model of Basal Ganglia.
2491-2525
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- Christopher J. Rozell, Don H. Johnson, Richard G. Baraniuk, Bruno A. Olshausen:
Sparse Coding via Thresholding and Local Competition in Neural Circuits.
2526-2563
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- Ivan Tyukin, Danil V. Prokhorov, Cees van Leeuwen:
Adaptive Classification of Temporal Signals in Fixed-Weight Recurrent Neural Networks: An Existence Proof.
2564-2596
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Volume 20,
Number 11,
November 2008
Article
Note
Letters
- Shawn Mikula, Ernst Niebur:
Exact Solutions for Rate and Synchrony in Recurrent Networks of Coincidence Detectors.
2637-2661
Electronic Edition (link) BibTeX
- A. Scaglione, G. Foffani, G. Scannella, S. Cerutti, Karen A. Moxon:
Mutual Information Expansion for Studying the Role of Correlations in Population Codes: How Important Are Autocorrelations?
2662-2695
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- Umberto Picchini, Susanne Ditlevsen, Andrea De Gaetano, Petr Lansky:
Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal.
2696-2714
Electronic Edition (link) BibTeX
- Aurel A. Lazar, Eftychios A. Pnevmatikakis:
Faithful Representation of Stimuli with a Population of Integrate-and-Fire Neurons.
2715-2744
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- William W. Lytton, Ahmet Omurtag, Samuel A. Neymotin, Michael L. Hines:
Just-in-Time Connectivity for Large Spiking Networks.
2745-2756
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- Yoshifusa Ito:
Simultaneous Approximations of Polynomials and Derivatives and Their Applications to Neural Networks.
2757-2791
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- Masanori Kawakita, Shinto Eguchi:
Boosting Method for Local Learning in Statistical Pattern Recognition.
2792-2838
Electronic Edition (link) BibTeX
- Dit-Yan Yeung, Hong Chang, Guang Dai:
A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability.
2839-2861
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Copyright © Sun May 17 00:15:18 2009
by Michael Ley (ley@uni-trier.de)
