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| 1751 | -- | 1759 | Christoph Kayser, Konrad P. Körding, Peter König. Learning the Nonlinearity of Neurons from Natural Visual Stimuli |
| 1761 | -- | 1788 | Benjamin Lindner, André Longtin, Adi R. Bulsara. Analytic Expressions for Rate and CV of a Type I Neuron Driven by White Gaussian Noise |
| 1789 | -- | 1807 | Blaise Agüera y Arcas, Adrienne L. Fairhall. What Causes a Neuron to Spike? |
| 1809 | -- | 1841 | Oren Shriki, David Hansel, Haim Sompolinsky. Rate Models for Conductance-Based Cortical Neuronal Networks |
| 1843 | -- | 1864 | Michael J. Barber, John W. Clark, Charles H. Anderson. Neural Representation of Probabilistic Information |
| 1865 | -- | 1896 | Carsten Prodöhl, Rolf P. Würtz, Christoph von der Malsburg. Learning the Gestalt Rule of Collinearity from Object Motion |
| 1897 | -- | 1929 | Barbara Hammer, Peter Tiño. Recurrent Neural Networks with Small Weights Implement Definite Memory Machines |
| 1931 | -- | 1957 | Peter Tiño, Barbara Hammer. Architectural Bias in Recurrent Neural Networks: Fractal Analysis |
| 1959 | -- | 1989 | Faming Liang. An Effective Bayesian Neural Network Classifier with a Comparison Study to Support Vector Machine |
| 1991 | -- | 2011 | Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski. Variational Bayesian Learning of ICA with Missing Data |