| 2597 | -- | 2628 | Daniel J. Navarro, Thomas L. Griffiths. Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach |
| 2629 | -- | 2636 | Ilya Sutskever, Geoffrey E. Hinton. Deep, Narrow Sigmoid Belief Networks Are Universal Approximators |
| 2637 | -- | 2661 | Shawn Mikula, Ernst Niebur. Exact Solutions for Rate and Synchrony in Recurrent Networks of Coincidence Detectors |
| 2662 | -- | 2695 | A. Scaglione, G. Foffani, G. Scannella, S. Cerutti, Karen A. Moxon. Mutual Information Expansion for Studying the Role of Correlations in Population Codes: How Important Are Autocorrelations? |
| 2696 | -- | 2714 | Umberto Picchini, Susanne Ditlevsen, Andrea De Gaetano, Petr Lansky. Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal |
| 2715 | -- | 2744 | Aurel A. Lazar, Eftychios A. Pnevmatikakis. Faithful Representation of Stimuli with a Population of Integrate-and-Fire Neurons |
| 2745 | -- | 2756 | William W. Lytton, Ahmet Omurtag, Samuel A. Neymotin, Michael L. Hines. Just-in-Time Connectivity for Large Spiking Networks |
| 2757 | -- | 2791 | Yoshifusa Ito. Simultaneous Approximations of Polynomials and Derivatives and Their Applications to Neural Networks |
| 2792 | -- | 2838 | Masanori Kawakita, Shinto Eguchi. Boosting Method for Local Learning in Statistical Pattern Recognition |
| 2839 | -- | 2861 | Dit-Yan Yeung, Hong Chang, Guang Dai. A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability |