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Titlesort descendingAuthorContent TypePub Date
Just-in-Time Connectivity for Large Spiking Networks [NECO 20:11]William W. Lytton, Ahmet Omurtag, Samuel A. Neymotin, Michael L. HinesArticle2008-11-01
Kernel Projection Classifiers with Suppressing Features of Other Classes [NECO 18:8]Yoshikazu Washizawa, Yukihiko YamashitaArticle2006-08-01
The Key Locus of Common Response Inhibition Network for No-go and Stop Signals [JOCN 20:8]Dongming Zheng, Tatsuro Oka, Hirokazu Bokura, Shuhei YamaguchiArticle2008-08-01
Knowledge in ActionRaymond ReiterBook2001-09-01
Knowledge, Concepts, and CategoriesKoen Lamberts, David ShanksBook1997-10-31
Knowledge-Based NeurocomputingIan Cloete, J M. ZuradaBook2000-02-25
Kolmogorov's Theorem Is Relevant [NECO 3:4]Věra KůrkováArticle1991-12-01
Language Form and Language FunctionFrederick J. NewmeyerBook1998-11-20
Language, Brain, and Cognitive DevelopmentEmmanuel DupouxBook2001-10-01
Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach [NECO 20:11]Daniel J. Navarro, Thomas L. GriffithsArticle2008-11-01
Lateralization of Categorical and Coordinate Spatial Functions: A Study of Unila... [JOCN 6:3]Bruno LaengArticle1994-07-01
Laws, Mind, and Free WillSteven HorstBook2011-04-21
Layered Neural Networks with Gaussian Hidden Units as Universal Approximations [NECO 2:2]Eric J. Hartman, James D. Keeler, Jacek M. KowalskiArticle1990-06-01
Learnability in Optimality TheoryBruce Tesar, Paul SmolenskyBook2000-05-15
Learning a Decision Boundary from Stochastic Examples: Incremental Algorithms wi... [NECO 7:1]Yoshiyuki Kabashima, Shigeru ShinomotoArticle1995-01-01
A Learning Algorithm for Continually Running Fully Recurrent Neural Networks [NECO 1:2]Ronald J. Williams, David ZipserArticle1989-06-01
Learning and Extracting Finite State Automata with Second-Order Recurrent Neural... [NECO 4:3]C. L. Giles, C. B. Miller, D. Chen, H. H. Chen, G. Z. Sun, Y. C. LeeArticle1992-05-01
Learning and Extracting Initial Mealy Automata with a Modular Neural Network Mod... [NECO 7:4]Peter Tiňo, Jozef ŠajdaArticle1995-07-01
Learning and Generalization in Radial Basis Function Networks [NECO 7:5]J. A. S. Freeman, D. SaadArticle1995-09-01
Learning and Generalization with Minimerror, A Temperature-Dependent Learning Al... [NECO 7:6]Bruno Raffin, Mirta B. GordonArticle1995-11-01
Learning Beyond Finite Memory in Recurrent Networks of Spiking Neurons [NECO 18:3]Peter Tiňo, Ashely J. S. MillsArticle2006-03-01
Learning by Asymmetric Parallel Boltzmann Machines [NECO 3:3]Bruno Apolloni, Diego de FalcoArticle1991-09-01
Learning Competition and Cooperation [NECO 5:2]Sungzoon Cho, James A. ReggiaArticle1993-03-01
Learning Complex, Extended Sequences Using the Principle of History Compression [NECO 4:2]Jürgen SchmidhuberArticle1992-03-01
Learning Curves for Error Minimum and Maximum Likelihood Algorithms [NECO 4:5]Y. Kabashima, S. ShinomotoArticle1992-09-01
Learning Factorial Codes by Predictability Minimization [NECO 4:6]Jürgen SchmidhuberArticle1992-11-01
Learning Finite State Machines With Self-Clustering Recurrent Networks [NECO 5:6]Zheng Zeng, Rodney M. Goodman, Padhraic SmythArticle1993-11-01
Learning in Artificial Neural Networks: A Statistical Perspective [NECO 1:4]Halbert WhiteArticle1989-12-01
Learning in Neural Networks with Material Synapses [NECO 6:5]Daniel J. Amit, Stefano FusiArticle1994-09-01
Learning in the Recurrent Random Neural Network [NECO 5:1]Erol GelenbeArticle1993-01-01
Learning Invariance from Transformation Sequences [NECO 3:2]Peter FöldiákArticle1991-06-01
Learning Linear Threshold Approximations Using Perceptrons [NECO 7:2]Tom BylanderArticle1995-03-01
Learning of Phase Lags in Coupled Neural Oscillators [NECO 6:2]Bard Ermentrout, Nancy KopellArticle1994-03-01
Learning Population Codes by Minimizing Description Length [NECO 7:3]Richard S. Zemel, Geoffrey E. HintonArticle1995-05-01
Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynam... [NECO 19:11]Joseph M. Brader, Walter Senn, Stefano FusiArticle2007-11-01
Learning State Space Trajectories in Recurrent Neural Networks [NECO 1:2]Barak A. PearlmutterArticle1989-06-01
Learning the Initial State of a Second-Order Recurrent Neural Network during Reg... [NECO 7:5]Mikel L. Forcada, Rafael C. CarrascoArticle1995-09-01
Learning the Unlearnable [NECO 3:4]Dan Nabutovsky, Eytan DomanyArticle1991-12-01
Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Ne... [NECO 4:1]Jürgen SchmidhuberArticle1992-01-01
Learning to Generalize from Single Examples in the Dynamic Link Architecture [NECO 5:5]Wolfgang Konen, Christoph von der MalsburgArticle1993-09-01
Learning to Segment Images Using Dynamic Feature Binding [NECO 4:5]Michael C. Mozer, Richard S. Zemel, Marlene Behrmann, Christopher K. I. WilliamsArticle1992-09-01
Learning with “Relevance”: Using a Third Factor to Stabilize Hebbian Learning... [NECO 19:10]Bernd Porr, Florentin WörgötterArticle2007-10-01
LeRec: A NN/HMM Hybrid for On-Line Handwriting Recognition [NECO 7:6]Yoshua Bengio, Yann LeCun, Craig Nohl, Chris BurgesArticle1995-11-01
Linear Multilayer ICA Generating Hierarchical Edge Detectors [NECO 19:1]Yoshitatsu Matsuda, Kazunori YamaguchiArticle2007-01-01
Linking Linear Threshold Units with Quadratic Models of Motion Perception [NECO 1:3]Humbert Suarez, Christof KochArticle1989-09-01
Loading Deep Networks Is Hard [NECO 6:5]Jiří ŠímaArticle1994-09-01
Local Parallel Computation of Stochastic Completion Fields [NECO 9:4]Lance R. Williams, David W. JacobsArticle1997-05-01
Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear... [NECO 4:5]Ralph LinskerArticle1992-09-01
Looking into PicturesHeiko Hecht, Robert Schwartz, Margaret AthertonBook2003-06-01
Lower Bounds for the Computational Power of Networks of Spiking Neurons [NECO 8:1]Wolfgang MaassArticle1996-01-01

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