Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNeural Computation, Volume 15
Volume 15, Number 1, January 2003
- David Hansel, Germán Mato
:
Asynchronous States and the Emergence of Synchrony in Large Networks of Interacting Excitatory and Inhibitory Neurons. 1-56
- Jong-Hoon Ahn, Jong-Hoon Oh:
A Constrained EM Algorithm for Principal Component Analysis. 57-65
- Alexandre Kuhn, Ad Aertsen, Stefan Rotter:
Higher-Order Statistics of Input Ensembles and the Response of Simple Model Neurons. 67-101 - Naoki Masuda, Kazuyuki Aihara:
Duality of Rate Coding and Temporal Coding in Multilayered Feedforward Networks. 103-125 - Shun-ichi Amari, Hiroyuki Nakahara, Si Wu, Yutaka Sakai:
Synchronous Firing and Higher-Order Interactions in Neuron Pool. 127-142 - Henry C. Tuckwell, Roger Rodriguez, Frederic Y. M. Wan:
Determination of Firing Times for the Stochastic Fitzhugh-Nagumo Neuronal Model. 143-159 - Melissa Dominguez, Robert A. Jacobs:
Developmental Constraints Aid the Acquisition of Binocular Disparity Sensitivities. 161-182 - Xiaoqin Zeng, Daniel S. Yeung:
A Quantified Sensitivity Measure for Multilayer Perceptron to Input Perturbation. 183-212 - Rizwan Choudrey, Stephen J. Roberts:
Variational Mixture of Bayesian Independent Component Analyzers. 213-252
Volume 15, Number 2, February 2003
- Maurice J. Chacron, Khashayar Pakdaman, André Longtin:
Interspike Interval Correlations, Memory, Adaptation, and Refractoriness in a Leaky Integrate-and-Fire Model with Threshold Fatigue. 253-278 - Romain Brette, Emmanuel Guigon:
Reliability of Spike Timing Is a General Property of Spiking Model Neurons. 279-308 - Brigitte Quenet, David Horn:
The Dynamic Neural Filter: A Binary Model of Spatiotemporal Coding. 309-329 - Malte Boegershausen, Pascal Suter, Shih-Chii Liu:
Modeling Short-Term Synaptic Depression in Silicon. 331-348 - Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-Won Lee, Terrence J. Sejnowski:
Dictionary Learning Algorithms for Sparse Representation. 349-396 - Eizaburo Doi, Toshio Inui, Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski:
Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes. 397-417 - Fabian J. Theis, Andreas Jung, Carlos García Puntonet, Elmar Wolfgang Lang:
Linear Geometric ICA: Fundamentals and Algorithms. 419-439 - Xiaohui Xie, H. Sebastian Seung:
Equivalence of Backpropagation and Contrastive Hebbian Learning in a Layered Network. 441-454 - Irwin W. Sandberg:
Indexed Families of Functionals and Gaussian Radial Basis Functions. 455-468 - Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse:
Efficient Greedy Learning of Gaussian Mixture Models. 469-485 - S. Sathiya Keerthi, Shirish K. Shevade:
SMO Algorithm for Least-Squares SVM Formulation. 487-507
Volume 15, Number 3, March 2003
- Christoph Börgers, Nancy Kopell:
Synchronization in Networks of Excitatory and Inhibitory Neurons with Sparse, Random Connectivity. 509-538
- Shawn Mikula, Ernst Niebur:
The Effects of Input Rate and Synchrony on a Coincidence Detector: Analytical Solution. 539-547 - Geoffrey J. Goodhill:
A Theoretical Model of Axon Guidance by the Robo Code. 549-564
- Daniel J. Amit, Gianluigi Mongillo:
Spike-Driven Synaptic Dynamics Generating Working Memory States. 565-596 - Hideyuki Câteau, Tomoki Fukai:
A Stochastic Method to Predict the Consequence of Arbitrary Forms of Spike-Timing-Dependent Plasticity. 597-620 - Richard H. R. Hahnloser, H. Sebastian Seung, Jean-Jacques E. Slotine:
Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks. 621-638 - Zhang Yi, Kok Kiong Tan, Tong Heng Lee:
Multistability Analysis for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions. 639-662 - Jarmo Hurri, Aapo Hyvärinen:
Simple-Cell-Like Receptive Fields Maximize Temporal Coherence in Natural Video. 663-691 - Jirí Síma, Pekka Orponen:
Continuous-Time Symmetric Hopfield Nets Are Computationally Universal. 693-733
Volume 15, Number 4, April 2003
- Chun-Hui Mo, Christof Koch:
Modeling Reverse-Phi Motion-Selective Neurons in Cortex: Double Synaptic-Veto Mechanism. 735-759
- Robert A. Jacobs, Melissa Dominguez:
Visual Development and the Acquisition of Motion Velocity Sensitivities. 761-781 - Paul E. Patton, Thomas J. Anastasio:
Modeling Cross-Modal Enhancement and Modality-Specific Suppression in Multisensory Neurons. 783-810 - Jan Reutimann, Michele Giugliano, Stefano Fusi:
Event-Driven Simulation of Spiking Neurons with Stochastic Dynamics. 811-830 - Bernd Porr, Florentin Wörgötter:
Isotropic Sequence Order Learning. 831-864 - Bernd Porr, Christian von Ferber, Florentin Wörgötter:
ISO Learning Approximates a Solution to the Inverse-Controller Problem in an Unsupervised Behavioral Paradigm. 865-884 - Ranit Aharonov-Barki, Lior Segev, Isaac Meilijson, Eytan Ruppin:
Localization of Function via Lesion Analysis. 885-913 - Alan L. Yuille, Anand Rangarajan:
The Concave-Convex Procedure. 915-936 - Terry Elliott:
An Analysis of Synaptic Normalization in a General Class of Hebbian Models. 937-963
Volume 15, Number 5, May 2003
- Anne C. Smith, Emery N. Brown:
Estimating a State-Space Model from Point Process Observations. 965-991
- Si Wu, Danmei Chen, Mahesan Niranjan, Shun-ichi Amari:
Sequential Bayesian Decoding with a Population of Neurons. 993-1012
- Sumio Watanabe, Shun-ichi Amari:
Learning Coefficients of Layered Models When the True Distribution Mismatches the Singularities. 1013-1033 - Toshio Aoyagi, Takashi Takekawa, Tomoki Fukai:
Gamma Rhythmic Bursts: Coherence Control in Networks of Cortical Pyramidal Neurons. 1035-1061 - James M. Coughlan, Alan L. Yuille:
Manhattan World: Orientation and Outlier Detection by Bayesian Inference. 1063-1088 - Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller:
Kernel-Based Nonlinear Blind Source Separation. 1089-1124 - Zheng Tang, XuGang Wang, Hiroki Tamura, Masahiro Ishii:
An Algorithm of Supervised Learning for Multilayer Neural Networks. 1125-1142 - Jan C. Wiemer:
The Time-Organized Map Algorithm: Extending the Self-Organizing Map to Spatiotemporal Signals. 1143-1171 - Wenlian Lu, Tianping Chen:
New Conditions on Global Stability of Cohen-Grossberg Neural Networks. 1173-1189
Volume 15, Number 6, June 2003
- Guilherme De A. Barreto, Aluízio F. R. Araújo, Stefan C. Kremer:
A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case. 1255-1320
- Liam Paninski:
Estimation of Entropy and Mutual Information. 1191-1253
- Yuval Aviel, Carsten Mehring, Moshe Abeles, David Horn:
On Embedding Synfire Chains in a Balanced Network. 1321-1340
- Naoki Masuda, Kazuyuki Aihara:
Ergodicity of Spike Trains: When Does Trial Averaging Make Sense? 1341-1372 - Mikhail Belkin, Partha Niyogi:
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation. 1373-1396 - Tong Zhang:
Leave-One-Out Bounds for Kernel Methods. 1397-1437
Volume 15, Number 7, July 2003
- Emilio Salinas:
Background Synaptic Activity as a Switch Between Dynamical States in a Network. 1439-1475
- Trevor Hastie, Robert Tibshirani, Jerome H. Friedman:
Note on "Comparison of Model Selection for Regression" by Vladimir Cherkassky and Yunqian Ma. 1477-1480
- Gal Chechik:
Spike-Timing-Dependent Plasticity and Relevant Mutual Information Maximization. 1481-1510 - Eugene M. Izhikevich, Niraj S. Desai:
Relating STDP to BCM. 1511-1523 - James A. Bednar, Risto Miikkulainen:
Learning Innate Face Preferences. 1525-1557 - Heiko Wersing, Edgar Körner:
Learning Optimized Features for Hierarchical Models of Invariant Object Recognition. 1559-1588 - Sambu Seo, Klaus Obermayer:
Soft Learning Vector Quantization. 1589-1604 - Rong Long Wang, Zheng Tang, Qi Ping Cao:
An Efficient Approximation Algorithm for Finding a Maximum Clique Using Hopfield Network Learning. 1605-1619 - Armando Bazzani, Daniel Remondini, Nathan Intrator, Gastone C. Castellani:
The Effect of Noise on a Class of Energy-Based Learning Rules. 1621-1640 - Taehwan Kim, Tülay Adali:
Approximation by Fully Complex Multilayer Perceptrons. 1641-1666 - S. Sathiya Keerthi, Chih-Jen Lin:
Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel. 1667-1689 - Vladimir Cherkassky, Yunqian Ma:
Comparison of Model Selection for Regression. 1691-1714
Volume 15, Number 8, August 2003
- Blaise Agüera y Arcas, Adrienne L. Fairhall, William Bialek:
Computation in a Single Neuron: Hodgkin and Huxley Revisited. 1715-1749
- Christoph Kayser, Konrad P. Körding, Peter König:
Learning the Nonlinearity of Neurons from Natural Visual Stimuli. 1751-1759
- Benjamin Lindner, André Longtin, Adi R. Bulsara:
Analytic Expressions for Rate and CV of a Type I Neuron Driven by White Gaussian Noise. 1761-1788 - Blaise Agüera y Arcas, Adrienne L. Fairhall:
What Causes a Neuron to Spike? 1789-1807 - Oren Shriki, David Hansel, Haim Sompolinsky:
Rate Models for Conductance-Based Cortical Neuronal Networks. 1809-1841 - Michael J. Barber, John W. Clark, Charles H. Anderson:
Neural Representation of Probabilistic Information. 1843-1864 - Carsten Prodöhl, Rolf P. Würtz, Christoph von der Malsburg:
Learning the Gestalt Rule of Collinearity from Object Motion. 1865-1896 - Barbara Hammer, Peter Tiño:
Recurrent Neural Networks with Small Weights Implement Definite Memory Machines. 1897-1929 - Peter Tiño, Barbara Hammer:
Architectural Bias in Recurrent Neural Networks: Fractal Analysis. 1931-1957 - Faming Liang:
An Effective Bayesian Neural Network Classifier with a Comparison Study to Support Vector Machine. 1959-1989 - Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski:
Variational Bayesian Learning of ICA with Missing Data. 1991-2011
Volume 15, Number 9, September 2003
- Theodore Holmes Bullock:
Have Brain Dynamics Evolved? Should We Look for Unique Dynamics in the Sapient Species? 2013-2027
- David Philipona, J. Kevin O'Regan, Jean-Pierre Nadal:
Is There Something Out There? Inferring Space from Sensorimotor Dependencies. 2029-2049
- Volodymyr Ivanchenko, Robert A. Jacobs:
A Developmental Approach Aids Motor Learning. 2051-2065 - J. A. Turner, K. C. Anderson, Ralph M. Siegel:
Cell Responsiveness in Macaque Superior Temporal Polysensory Area Measured by Temporal Discriminants. 2067-2090 - Michael H. Herzog, Udo A. Ernst, Axel Etzold, Christian W. Eurich:
Local Interactions in Neural Networks Explain Global Effects in Gestalt Processing and Masking. 2091-2113 - Emmanuel Guigon:
Computing with Populations of Monotonically Tuned Neurons. 2115-2127 - Marc de Kamps:
A Simple and Stable Numerical Solution for the Population Density Equation. 2129-2146 - Laurenz Wiskott:
Slow Feature Analysis: A Theoretical Analysis of Optimal Free Responses. 2147-2177 - Masaki Nomura, Tomoki Fukai, Toshio Aoyagi:
Synchrony of Fast-Spiking Interneurons Interconnected by GABAergic and Electrical Synapses. 2179-2198 - Yoshifusa Ito:
Activation Functions Defined on Higher-Dimensional Spaces for Approximation on Compact Sets with and without Scaling. 2199-2226 - Wei Chu, S. Sathiya Keerthi, Chong Jin Ong:
Bayesian Trigonometric Support Vector Classifier. 2227-2254
Volume 15, Number 10, October 2003
- Maneesh Sahani, Peter Dayan:
Doubly Distributional Population Codes: Simultaneous Representation of Uncertainty and Multiplicity. 2255-2279 - Nicolas Brunel, Peter E. Latham:
Firing Rate of the Noisy Quadratic Integrate-and-Fire Neuron. 2281-2306 - Zhiyi Chi, Peter L. Rauske, Daniel Margoliash:
Pattern Filtering for Detection of Neural Activity, with Examples from HVc Activity During Sleep in Zebra Finches. 2307-2337 - Shawn Mikula, Ernst Niebur:
Synaptic Depression Leads to Nonmonotonic Frequency Dependence in the Coincidence Detector. 2339-2358 - Liqiang Zhu, Ying-Cheng Lai, Frank Hoppensteadt, Jiping He:
Probing Changes in Neural Interaction During Adaptation. 2359-2377 - Naoyuki Sato, Yoko Yamaguchi:
Memory Encoding by Theta Phase Precession in the Hippocampal Network. 2379-2397 - Songnian Zhao, Xiaoyun Xiong, Guozheng Yao, Zhi Fu:
A Computational Model as Neurodecoder Based on Synchronous Oscillation in the Visual Cortex. 2399-2418 - Ivan Tyukin, Cees van Leeuwen, Danil V. Prokhorov:
Parameter Estimation of Sigmoid Superpositions: Dynamical System Approach. 2419-2455 - Konstantinos Koutroumbas:
On the Partitioning Capabilities of Feedforward Neural Networks with Sigmoid Nodes. 2457-2481
Volume 15, Number 11, November 2003
- Bard Ermentrout:
Dynamical Consequences of Fast-Rising, Slow-Decaying Synapses in Neuronal Networks. 2483-2522
- Jan Benda, Andreas V. M. Herz:
A Universal Model for Spike-Frequency Adaptation. 2523-2564 - Matthew C. Wiener:
An Adjustment to the Time-Rescaling Method for Application to Short-Trial Spike Train Data. 2565-2576 - Michael Rudolph, Alain Destexhe:
Characterization of Subthreshold Voltage Fluctuations in Neuronal Membranes. 2577-2618 - David J. Reinkensmeyer, Mario G. Iobbi, Leonard E. Kahn, Derek G. Kamper, Craig D. Takahashi:
Modeling Reaching Impairment After Stroke Using a Population Vector Model of Movement Control That Incorporates Neural Firing-Rate Variability. 2619-2642 - Kai-Min Chung, Wei-Chun Kao, Chia-Liang Sun, Li-Lun Wang, Chih-Jen Lin:
Radius Margin Bounds for Support Vector Machines with the RBF Kernel. 2643-2681 - Junshui Ma, James Theiler, Simon Perkins:
Accurate On-line Support Vector Regression. 2683-2703 - Hussein A. Abbass:
Speeding Up Backpropagation Using Multiobjective Evolutionary Algorithms. 2705-2726
Volume 15, Number 12, December 2003
- Jirí Síma, Pekka Orponen:
General-Purpose Computation with Neural Networks: A Survey of Complexity Theoretic Results. 2727-2778
- Carlo R. Laing, André Longtin:
Dynamics of Deterministic and Stochastic Paired Excitatory-Inhibitory Delayed Feedback. 2779-2822 - Shigeru Shinomoto, Keisetsu Shima, Jun Tanji:
Differences in Spiking Patterns Among Cortical Neurons. 2823-2842 - Barbara J. Breen, William C. Gerken, Robert J. Butera:
Hybrid Integrate-and-Fire Model of a Bursting Neuron. 2843-2862 - Lars Stollenwerk, Mathias Bode:
Lateral Neural Model of Binocular Rivalry. 2863-2882 - Gopathy Purushothaman, Haluk Ögmen, Harold E. Bedell:
Suprathreshold Intrinsic Dynamics of the Human Visual System. 2883-2908 - Simone G. O. Fiori:
Closed-Form Expressions of Some Stochastic Adapting Equations for Nonlinear Adaptive Activation Function Neurons. 2909-2929 - Jens Kaae Christensen, Kasper Lamberth, Morten Nielsen, Claus Lundegaard, Peder Worning, Sanne Lise Lauemøller, Søren Buus, Søren Brunak, Ole Lund:
Selecting Informative Data for Developing Peptide-MHC Binding Predictors Using a Query by Committee Approach. 2931-2942
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-04-18 20:21 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
