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Publication search results
found 114 matches
- 2001
- Ranit Aharonov-Barki, Tuvik Beker, Eytan Ruppin:
Emergence of Memory-Driven Command Neurons in Evolved Artificial Agents. Neural Comput. 13(3): 691-716 (2001) - Ken-ichi Amemori, Shin Ishii:
Gaussian Process Approach to Spiking Neurons for Inhomogeneous Poisson Inputs. Neural Comput. 13(12): 2763-2797 (2001) - Yali Amit, Massimo Mascaro:
Attractor Networks for Shape Recognition. Neural Comput. 13(6): 1415-1442 (2001) - Christophe Andrieu, Nando de Freitas, Arnaud Doucet:
Robust Full Bayesian Learning for Radial Basis Networks. Neural Comput. 13(10): 2359-2407 (2001) - Vicente Ruiz de Angulo, Carme Torras:
Architecture-Independent Approximation of Functions. Neural Comput. 13(5): 1119-1135 (2001) - Osamu Araki, Kazuyuki Aihara:
Dual Information Representation with Stable Firing Rates and Chaotic Spatiotemporal Spike Patterns in a Neural Network Model. Neural Comput. 13(12): 2799-2822 (2001) - Stuart N. Baker, George L. Gerstein:
Determination of Response Latency and Its Application to Normalization of Cross-Correlation Measures. Neural Comput. 13(6): 1351-1377 (2001) - Vijay Balasubramanian, Don Kimber, Michael J. Berry II:
Metabolically Efficient Information Processing. Neural Comput. 13(4): 799-815 (2001) - Arunava Banerjee:
On the Phase-Space Dynamics of Systems of Spiking Neurons. I: Model and Experiments. Neural Comput. 13(1): 161-193 (2001) - Arunava Banerjee:
On the Phase-Space Dynamics of Systems of Spiking Neurons. II: Formal Analysis. Neural Comput. 13(1): 195-225 (2001) - Yoram Baram:
Random Embedding Machines for Pattern Recognition. Neural Comput. 13(11): 2533-2548 (2001) - Allan Kardec Barros, Andrzej Cichocki:
Extraction of Specific Signals with Temporal Structure. Neural Comput. 13(9): 1995-2003 (2001) - Jayanta Basak:
Learning Hough Transform: A Neural Network Model. Neural Comput. 13(3): 651-676 (2001) - John M. Beggs:
A Statistical Theory of Long-Term Potentiation and Depression. Neural Comput. 13(1): 87-111 (2001) - Richard Bertram:
Differential Filtering of Two Presynaptic Depression Mechanisms. Neural Comput. 13(1): 69-85 (2001) - William Bialek, Ilya Nemenman, Naftali Tishby:
Predictability, Complexity, and Learning. Neural Comput. 13(11): 2409-2463 (2001) - David S. Broomhead, Michael J. Kirby:
The Whitney Reduction Network: A Method for Computing Autoassociative Graphs. Neural Comput. 13(11): 2595-2616 (2001) - Anthony N. Burkitt, Graeme M. Clark:
Synchronization of the Neural Response to Noisy Periodic Synaptic Input. Neural Comput. 13(12): 2639-2672 (2001) - C. Buzzi, Luigi Grippo, Marco Sciandrone:
Convergent Decomposition Techniques for Training RBF Neural Networks. Neural Comput. 13(8): 1891-1920 (2001) - Laurisete dos Santos Camargo, Takashi Yoneyama:
Specification of Training Sets and the Number of Hidden Neurons for Multilayer Perceptrons. Neural Comput. 13(12): 2673-2680 (2001) - Chih-Chung Chang, Chih-Jen Lin:
Training nu-Support Vector Classifiers: Theory and Algorithms. Neural Comput. 13(9): 2119-2147 (2001) - Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Effective Neuronal Learning with Ineffective Hebbian Learning Rules. Neural Comput. 13(4): 817-840 (2001) - Tianping Chen, Shun-ichi Amari:
Exponential Convergence of Delayed Dynamical Systems. Neural Comput. 13(3): 621-635 (2001) - Siu-Yeung Cho, Tommy W. S. Chow:
Enhanced 3D Shape Recovery Using the Neural-Based Hybrid Reflectance Model. Neural Comput. 13(11): 2617-2637 (2001) - L. Niels Cornelisse, Wim J. J. M. Scheenen, Werner J. H. Koopman, Eric W. Roubos, Stan C. A. M. Gielen:
Minimal Model for Intracellular Calcium Oscillations and Electrical Bursting in Melanotrope Cells of Xenopus Laevis. Neural Comput. 13(1): 113-137 (2001) - Brent Doiron, André Longtin, Neil Berman, Leonard Maler:
Subtractive and Divisive Inhibition: Effect of Voltage-Dependent Inhibitory Conductances and Noise. Neural Comput. 13(1): 227-248 (2001) - Julian Eggert, J. Leo van Hemmen:
Modeling Neuronal Assemblies: Theory and Implementation. Neural Comput. 13(9): 1923-1974 (2001) - Bard Ermentrout, Matthew Pascal, Boris S. Gutkin:
The Effects of Spike Frequency Adaptation and Negative Feedback on the Synchronization of Neural Oscillators. Neural Comput. 13(6): 1285-1310 (2001) - Simone G. O. Fiori:
A Theory for Learning by Weight Flow on Stiefel-Grassman Manifold. Neural Comput. 13(7): 1625-1647 (2001) - Jeffrey J. Fox, Ciriyam Jayaprakash, DeLiang L. Wang, Shannon R. Campbell:
Synchronization in Relaxation Oscillator Networks with Conduction Delays. Neural Comput. 13(5): 1003-1021 (2001)
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