Wiring Optimization in the Brain (English)
- New search for: Chklovskii, D. B.
- New search for: Stevens, C. F.
- New search for: Chklovskii, D. B.
- New search for: Stevens, C. F.
- New search for: Solla, S. A.
- New search for: Leen, T. K.
- New search for: Muller, K.-R.
In:
Advances in neural information processing systems
12
;
103-107
;
2000
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ISBN:
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ISSN:
- Conference paper / Print
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Title:Wiring Optimization in the Brain
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Contributors:Chklovskii, D. B. ( author ) / Stevens, C. F. ( author ) / Solla, S. A. / Leen, T. K. / Muller, K.-R.
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Conference:Conference; 13th, Advances in neural information processing systems ; 1999
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Published in:Advances in neural information processing systems , 12 ; 103-107ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS , 12 ; 103-107
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Publisher:
- New search for: MIT Press
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Publication date:2000-01-01
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Size:5 pages
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Remarks:Also known as NIPS
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ISBN:
-
ISSN:
-
Type of media:Conference paper
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Type of material:Print
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Language:English
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Keywords:
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Source:
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Table of contents conference proceedings
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 3
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Recognizing Evoked Potentials in a Virtual EnvironmentBayliss, J. D. / Ballard, D. H. et al. | 2000
- 10
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A Neurodynamical Approach to Visual AttentionDeco, G. / Zihl, J. et al. | 2000
- 17
-
Effects of Spatial and Temporal Contiguity on the Acquisition of Spatial InformationGhiselli-Crippa, T. B. / Munro, P. W. et al. | 2000
- 24
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Acquisition in AutoshapingKakade, S. / Dayan, P. et al. | 2000
- 31
-
Robust Recognition of Noisy and Superimposed Patterns via Selective AttentionLee, S.-Y. / Mozer, M. C. et al. | 2000
- 38
-
Perceptual Organization Based on Temporal DynamicsLiu, X. / Wang, D. L. et al. | 2000
- 45
-
Information Factorization in Connectionist Models of PerceptionMovellan, J. R. / McClelland, J. L. et al. | 2000
- 52
-
Graded Grammaticality in Prediction Fractal MachinesParfitt, S. / Tino, P. / Dorffner, G. et al. | 2000
- 59
-
Rules and Similarity in Concept LearningTenenbaum, J. B. et al. | 2000
- 66
-
Evolving Learnable LanguagesTonkes, B. / Blair, A. / Wiles, J. et al. | 2000
- 73
-
Learning Statistically Neutral Tasks without Expert GuidanceWeijters, T. / van den Bosch, A. / Postma, E. et al. | 2000
- 80
-
A Generative Model for Attractor DynamicsZemel, R. S. / Mozer, M. C. et al. | 2000
- 89
-
Recurrent Cortical Competition: Strengthen or Weaken?Adorjan, P. / Schwabe, L. / Piepenbrock, C. / Obermayer, K. et al. | 2000
- 96
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Effective Learning Requires Neuronal Remodeling of Hebbian SynapsesChechik, G. / Meilijson, I. / Ruppin, E. et al. | 2000
- 103
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Wiring Optimization in the BrainChklovskii, D. B. / Stevens, C. F. et al. | 2000
- 108
-
Optimal Sizes of Dendritic and Axonal ArborsChklovskii, D. B. et al. | 2000
- 115
-
Neural Representation of Multi-Dimensional StimuliEurich, C. W. / Wilke, S. D. / Schwegler, H. et al. | 2000
- 122
-
Spiking Boltzmann MachinesHinton, G. E. / Brown, A. D. et al. | 2000
- 129
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Distributed Synchrony of Spiking Neurons in a Hebbian Cell AssemblyHorn, D. / Levy, N. / Meilijson, I. / Ruppin, E. et al. | 2000
- 136
-
Can V1 Mechanisms Account for Figure-Ground and Medial Axis Effects?Li, Z. et al. | 2000
- 143
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Channel Noise in Excitable Neural MembranesManwani, A. / Steinmetz, P. N. / Koch, C. et al. | 2000
- 150
-
LTD Facilitates Learning in a Noisy EnvironmentMunro, P. W. / Hernandez, G. et al. | 2000
- 157
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Memory Capacity of Linear vs. Nonlinear Models of Dendritic IntegrationPoirazi, P. / Mel, B. W. et al. | 2000
- 164
-
Predictive Sequence Learning in Recurrent Neocortical CircuitsRao, R. P. N. / Sejnowski, T. J. et al. | 2000
- 171
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A Recurrent Model of the Interaction Between Prefrontal and Inferotemporal Cortex in Delay TasksRenart, A. / Parga, N. / Rolls, E. T. et al. | 2000
- 178
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Information Capacity and Robustness of Stochastic Neuron ModelsSchneidman, E. / Segev, I. / Tishby, N. et al. | 2000
- 185
-
An MEG Study of Response Latency and Variability in the Human Visual System During a Visual-Motor Integration TaskTang, A. C. / Pearlmutter, B. A. / Hely, T. A. / Zibulevsky, M. / Weisend, M. P. et al. | 2000
- 192
-
Population Decoding Based on an Unfaithful ModelWu, S. / Nakahara, H. / Murata, N. / Amari, S.-i. et al. | 2000
- 199
-
Spike-based Learning Rules and Stabilization of Persistent Neural ActivityXie, X. / Seung, H. S. et al. | 2000
- 209
-
A Variational Baysian Framework for Graphical ModelsAttias, H. et al. | 2000
- 216
-
Model Selection in Clustering by Uniform Convergence BoundsBuhmann, J. M. / Held, M. et al. | 2000
- 223
-
Uniqueness of the SVM SolutionBurges, C. J. C. / Crisp, D. J. et al. | 2000
- 230
-
Model Selection for Support Vector MachinesChapelle, O. / Vapnik, V. N. et al. | 2000
- 237
-
Dynamics of Supervised Learning with Restricted Training Sets and Noisy TeachersCoolen, A. C. C. / Mace, C. W. H. et al. | 2000
- 244
-
A Geometric Interpretation of v-SVM ClassifiersCrisp, D. J. / Burges, C. J. C. et al. | 2000
- 251
-
Efficient Approaches to Gaussian Process ClassificationCsato, L. / Fokoue, E. / Opper, M. / Schottky, B. / Winther, O. et al. | 2000
- 258
-
Potential Boosters?Duffy, N. / Helmbold, D. et al. | 2000
- 265
-
Bayesian Averaging is Well-TemperatedHansen, L. K. et al. | 2000
- 272
-
Regular and Irregular Gallager-type Error-Correcting CodesKabashima, Y. / Murayama, T. / Saad, D. / Vicente, R. et al. | 2000
- 279
-
Mixture Density EstimationLi, J. Q. / Barron, A. R. et al. | 2000
- 286
-
Statistical Dynamics of Batch LearningLi, S. / Wong, K. Y. M. et al. | 2000
- 293
-
Neural Computation with Winner-Take-All as the Only Nonlinear OperationMaass, W. et al. | 2000
- 300
-
Boosting with Multi-Way Branching in Decision TreesMansour, Y. / McAllester, D. et al. | 2000
- 307
-
Inference for the Generalization ErrorNadeau, C. / Bengio, Y. et al. | 2000
- 314
-
Resonance in a Stochastic Neuron Model with Delayed InteractionOhira, T. / Sato, Y. / Cowan, J. D. et al. | 2000
- 321
-
Understanding Stepwise Generalization of Support Vector Machines: a Toy ModelRisau-Gusman, S. / Gordon, M. B. et al. | 2000
- 328
-
Lower Bounds on the Complexity of Approximating Continuous Functions by Sigmoidal Neural NetworksSchmitt, M. et al. | 2000
- 335
-
Noisy Neural Networks and GeneralizationsSiegelmann, H. T. / Roitershtein, A. / Ben-Hur, A. et al. | 2000
- 342
-
The Entropy Regularization Information CriterionSmola, A. J. / Shawe-Taylor, J. / Scholkopf, B. / Williamson, R. C. et al. | 2000
- 349
-
Probabilistic Methods for Support Vector MachinesSollich, P. et al. | 2000
- 356
-
Algebraic Analysis for Non-regular Learning MachinesWatanabe, S. et al. | 2000
- 363
-
Semiparametric Approach to Multichannel Blind Deconvolution of Nonminimum Phase SystemsZhang, L.-Q. / Amari, S.-i. / Cichocki, A. et al. | 2000
- 370
-
Some Theoretical Results Concerning the Convergence of Compositions of Regularized Linear FunctionsZhang, T. et al. | 2000
- 379
-
Robust Full Bayesian Methods for Neural NetworksAndrieu, C. / de Freitas, J. F. G. / Doucet, A. et al. | 2000
- 386
-
Independent Factor Analysis with Temporally Structured SourcesAttias, H. et al. | 2000
- 393
-
Gaussian Fields for Approximate Inference in Layered Sigmoid Belief NetworksBarber, D. / Sollich, P. et al. | 2000
- 400
-
Modeling High-Dimensional Discrete Data with Multi-Layer Neural NetworksBengio, Y. / Bengio, S. et al. | 2000
- 407
-
Robust Neural Network Regression for Offine and Online LearningBriegel, T. / Tresp, V. et al. | 2000
- 414
-
Reconstruction of Sequential Data with Probabilistic Models and Continuity ConstraintsCarreira-Perpinan, M. A. et al. | 2000
- 421
-
Transductive Inference for Estimating Values of FunctionsChapelle, O. / Vapnik, V. N. / Weston, J. et al. | 2000
- 428
-
The Nonnegative Boltzmann MachineDowns, O. B. / MacKay, D. J. C. / Lee, D. D. et al. | 2000
- 435
-
Differentiating Functions of the Jacobian with Respect to the WeightsFlake, G. W. / Pearlmutter, B. A. et al. | 2000
- 442
-
Local Probability Propagation for Factor AnalysisFrey, B. J. et al. | 2000
- 449
-
Variational Inference for Bayesian Mixtures of Factor AnalysersGhahramani, Z. / Beal, M. J. et al. | 2000
- 456
-
Bayesian TransductionGraepel, T. / Herbrich, R. / Obermayer, K. et al. | 2000
- 463
-
Learning to Parse ImagesHinton, G. E. / Ghahramani, Z. / Teh, Y. W. et al. | 2000
- 470
-
Maximum Entropy DiscriminationJaakkola, T. / Meila, M. / Jebara, T. et al. | 2000
- 477
-
Topographic Transformation as a Discrete Latent VariableJojic, N. / Frey, B. J. et al. | 2000
- 484
-
An Improved Decomposition Algorithm for Regression Support Vector MachinesLaskov, P. et al. | 2000
- 491
-
Algorithms for Independent Components Analysis and Higher Order StatisticsLee, D. D. / Rokni, U. / Sompolinsky, H. et al. | 2000
- 498
-
The Relaxed Online Maximum Margin AlgorithmLi, Y. / Long, P. M. et al. | 2000
- 505
-
Bayesian Network Induction via Local NeighborhoodsMargaritis, D. / Thrun, S. et al. | 2000
- 512
-
Boosting Algorithms as Gradient DescentMason, L. / Baxter, J. / Bartlett, P. / Frean, M. et al. | 2000
- 519
-
A multi-class Linear Learning Algorithm Related to WinnowMesterharm, C. et al. | 2000
- 526
-
Invariant Feature Extraction and Classification in Kernel SpacesMika, S. / Ratsch, G. / Weston, J. / Scholkopf, B. / Smola, A. J. / Muller, K.-R. et al. | 2000
- 533
-
Approximate Inference Algorithms for Two-Layer Bayesian NetworksNg, A. Y. / Jordan, M. I. et al. | 2000
- 540
-
Optimal Kernel Shapes for Local Linear RegressionOrmoneit, D. / Hastie, T. et al. | 2000
- 547
-
Large Margin DAGs for Multiclass ClassificationPlatt, J. C. / Cristianini, N. / Shawe-Taylor, J. et al. | 2000
- 554
-
The Infinite Gaussian Mixture ModelRasmussen, C. E. et al. | 2000
- 561
-
nu-Arc: Ensemble Learning in the Presence of OutliersRatsch, G. / Scholkopf, B. / Smola, A. J. / Muller, K.-R. / Onoda, T. / Mika, S. et al. | 2000
- 568
-
Nonlinear Discriminant Analysis Using Kernel FunctionsRoth, V. / Steinhage, V. et al. | 2000
- 575
-
An Analysis of Turbo Decoding with Gaussian DensitiesRusmevichientong, P. / Van Roy, B. et al. | 2000
- 582
-
Support Vector Method for Novelty DetectionScholkopf, B. / Williamson, R. C. / Smola, A. J. / Shawe-Taylor, J. / Platt, J. C. et al. | 2000
- 589
-
Better Generative Models for Sequential Data Problems: Bidirectional Recurrent Mixture Density NetworksSchuster, M. et al. | 2000
- 596
-
Greedy Importance SamplingSchuurmans, D. et al. | 2000
- 603
-
Bayesian Model Selection for Support Vector Machines, Gaussian Processes and Other Kernel ClassifiersSeeger, M. et al. | 2000
- 610
-
Leveraged Vector MachinesSinger, Y. et al. | 2000
- 617
-
Agglomerative Information BottleneckSlonim, N. / Tishby, N. et al. | 2000
- 624
-
Training Data Selection for Optimal Generalization in Trigonometric Polynomial NetworksSugiyama, M. / Ogawa, H. et al. | 2000
- 631
-
Predictive Approaches for Choosing Hyperparameters in Gaussian ProcessesSundararajan, S. / Keerthi, S. S. et al. | 2000
- 638
-
On Input Selection with Reversible Jump Markov Chain Monte Carlo SamplingSykacek, P. et al. | 2000
- 645
-
Building Predictive Models from Fractal Representations of Symbolic SequencesTino, P. / Dorffner, G. et al. | 2000
- 652
-
The Relevance Vector MachineTipping, M. E. et al. | 2000
- 659
-
Support Vector Method for Multivariate Density EstimationVapnik, V. N. / Mukherjee, S. et al. | 2000
- 666
-
Dual Estimation and the Unscented TransformationWan, E. A. / van der Merwe, R. / Nelson, A. T. et al. | 2000
- 673
-
Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary TopologyWeiss, Y. / Freeman, W. T. et al. | 2000
- 680
-
A MCMC Approach to Hierarchical Mixture ModellingWilliams, C. K. I. et al. | 2000
- 687
-
Data Visualization and Feature Selection: New Algorithms for Nongaussian DataYang, H. H. / Moody, J. et al. | 2000
- 694
-
Manifold Stochastic Dynamics for Bayesian LearningZlochin, M. / Baram, Y. et al. | 2000
- 703
-
The Parallel Problems Server: an Interactive Tool for Large Scale Machine LearningIsbell, C. L. / Husbands, P. et al. | 2000
- 710
-
An Oculo-Motor System with Multi-Chip Neuromorphic Analog VLSI ControlLandolt, O. / Gyger, S. et al. | 2000
- 717
-
A Winner-Take-All Circuit with Controllable Soft Max PropertyLiu, S.-C. et al. | 2000
- 724
-
A Neuromorphic VLSI System for Modeling the Neural Control of Axial LocomotionPatel, G. N. / Brown, E. A. / DeWeerth, S. P. et al. | 2000
- 731
-
Bifurcation Analysis of a Silicon NeuronPatel, G. N. / Cymbalyuk, G. S. / Calabrese, R. L. / DeWeerth, S. P. et al. | 2000
- 738
-
An Analog VLSI Model of Periodicity Extractionvan Schaik, A. et al. | 2000
- 747
-
An Oscillatory Correlation Framework for Computational Auditory Scene AnalysisBrown, G. J. / Wang, D. L. et al. | 2000
- 754
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Bayesian Modelling of fMRI Time SeriesHojen-Sorensen, P. A. d. F. R. / Hansen, L. K. / Rasmussen, C. E. et al. | 2000
- 761
-
Neural System Model of Human Sound LocalizationJin, C. T. / Carlile, S. et al. | 2000
- 768
-
Spectral Cues in Human Sound LocalizationJin, C. T. / Corderoy, A. / Carlile, S. / van Schaik, A. et al. | 2000
- 775
-
Broadband Direction-Of-Arrival Estimation Based on Second Order StatisticsRosca, J. / Ruanaidh, J. O. / Jourjine, A. / Rickard, S. et al. | 2000
- 782
-
Constrained Hidden Markov ModelsRoweis, S. et al. | 2000
- 789
-
Online Independent Component Analysis with Local Learning Rate AdaptationSchraudolph, N. N. / Giannakopoulos, X. et al. | 2000
- 796
-
Speech Modelling Using Subspace and EM TechniquesSmith, G. / de Freitas, J. F. G. / Robinson, T. / Niranjan, M. et al. | 2000
- 803
-
Search for Information Bearing Components in SpeechYang, H. H. / Hermansky, H. et al. | 2000
- 813
-
Audio Vision: Using Audio-Visual Synchrony to Locate SoundsHershey, J. / Movellan, J. R. et al. | 2000
- 820
-
Bayesian Reconstruction of 3D Human Motion from Single-Camera VideoHowe, N. R. / Leventon, M. E. / Freeman, W. T. et al. | 2000
- 827
-
Emergence of Topography and Complex Cell Properties from Natural Images using Extensions of ICAHyvarinen, A. / Hoyer, P. et al. | 2000
- 834
-
An Information-Theoretic Framework for Understanding Saccadic Eye MovementsLee, T. S. / Yu, S. X. et al. | 2000
- 841
-
Learning Sparse Codes with a Mixture-of-Gaussians PriorOlshausen, B. A. / Millman, K. J. et al. | 2000
- 848
-
Hierarchical Image Probability (HIP) ModelsSpence, C. D. / Parra, L. et al. | 2000
- 855
-
Scale Mixtures of Gaussians and the Statistics of Natural ImagesWainwright, M. J. / Simoncelli, E. P. et al. | 2000
- 862
-
A SNoW-Based Face DetectorYang, M.-H. / Roth, D. / Ahuja, N. et al. | 2000
- 869
-
Managing Uncertainty in Cue CombinationYang, Z. / Zemel, R. S. et al. | 2000
- 879
-
Robust Learning of Chaotic AttractorsBakker, R. / Schouten, J. C. / Coppens, M.-O. / Takens, F. / Giles, C. L. / van den Bleek, C. M. et al. | 2000
- 886
-
Image Representations for Facial Expression CodingBartlett, M. S. / Donato, G. / Movellan, J. R. / Hager, J. C. / Ekman, P. / Sejnowski, T. J. et al. | 2000
- 893
-
Low Power Wireless Communication via Reinforcement LearningBrown, T. X. et al. | 2000
- 900
-
Learning Informative Statistics: A Nonparametric ApproachFisher, J. W. / Ihler, A. T. / Viola, P. A. et al. | 2000
- 907
-
Kirchoff Law Markov Fields for Analog Circuit DesignGolden, R. M. et al. | 2000
- 914
-
Learning the Similarity of Documents: An Information-Geometric Approach to Document Retrieval and CategorizationHofmann, T. et al. | 2000
- 921
-
Constructing Heterogeneous Committees Using Input Feature Grouping: Application to Economic ForecastingLiao, Y. / Moody, J. et al. | 2000
- 928
-
From Coexpression to Coregulation: An Approach to Inferring Transcriptional Regulation among Gene Classes from Large-Scale Expression DataMjolsness, E. / Mann, T. / Castano, R. / Wold, B. et al. | 2000
- 935
-
Churn Reduction in the Wireless IndustryMozer, M. C. / Wolniewicz, R. / Grimes, D. B. / Johnson, E. / Kaushansky, H. et al. | 2000
- 942
-
Unmixing Hyperspectral DataParra, L. / Spence, C. D. / Sajda, P. / Ziehe, A. / Muller, K.-R. et al. | 2000
- 949
-
Application of Blind Separation of Sources to Optical Recording of Brain ActivitySchoner, H. / Stetter, M. / Schiessl, I. / Mayhew, J. E. W. / Lund, J. / McLoughlin, N. / Obermayer, K. et al. | 2000
- 956
-
Reinforcement Learning for Spoken Dialogue SystemsSingh, S. / Kearns, M. / Litman, D. / Walker, M. et al. | 2000
- 963
-
Image Recognition in Context: Application to Microscopic UrinalysisSong, X. B. / Sill, J. / Abu-Mostafa, Y. / Kasdan, H. et al. | 2000
- 970
-
Generalized Model Selection for Unsupervised Learning in High DimensionsVaithyanathan, S. / Dom, B. et al. | 2000
- 977
-
Learning from User Feedback in Image Retrieval SystemsVasconcelos, N. / Lippman, A. et al. | 2000
- 987
-
An Environment Model for Nonstationary Reinforcement LearningChoi, S. P. M. / Yeung, D.-Y. / Zhang, N. L. et al. | 2000
- 994
-
State Abstraction in MAXQ Hierarchical Reinforcement LearningDietterich, T. G. et al. | 2000
- 1001
-
Approximate Planning in Large POMDPs via Reusable TrajectoriesKearns, M. / Mansour, Y. / Ng, A. Y. et al. | 2000
- 1008
-
Actor-Critic AlgorithmsKonda, V. R. / Tsitsiklis, J. N. et al. | 2000
- 1015
-
Bayesian Map Learning in Dynamic EnvironmentsMurphy, K. P. et al. | 2000
- 1022
-
Policy Search via Density EstimationNg, A. Y. / Parr, R. / Koller, D. et al. | 2000
- 1029
-
Neural Network Based Model Predictive ControlPiche, S. / Keeler, J. / Martin, G. / Boe, G. / Johnson, D. / Gerules, M. et al. | 2000
- 1036
-
Reinforcement Learning Using Approximate Belief StatesRodriguez, A. / Parr, R. / Koller, D. et al. | 2000
- 1043
-
Coastal Navigation with Mobile RobotsRoy, N. / Thrun, S. et al. | 2000
- 1050
-
Learning Factored Representations for Partially Observable Markov Decision ProcessesSallans, B. et al. | 2000
- 1057
-
Policy Gradient Methods for Reinforcement Learning with Function ApproximationSutton, R. S. / McAllester, D. / Singh, S. / Mansour, Y. et al. | 2000