| # | Title | Journal | Year | Citations |
|---|
| 1 | Long Short-Term Memory | Neural Computation | 1997 | 58,553 |
| 2 | A Fast Learning Algorithm for Deep Belief Nets | Neural Computation | 2006 | 12,682 |
| 3 | An Information-Maximization Approach to Blind Separation and Blind Deconvolution | Neural Computation | 1995 | 7,791 |
| 4 | Backpropagation Applied to Handwritten Zip Code Recognition | Neural Computation | 1989 | 7,701 |
| 5 | Nonlinear Component Analysis as a Kernel Eigenvalue Problem | Neural Computation | 1998 | 6,336 |
| 6 | Laplacian Eigenmaps for Dimensionality Reduction and Data Representation | Neural Computation | 2003 | 5,873 |
| 7 | Estimating the Support of a High-Dimensional Distribution | Neural Computation | 2001 | 4,068 |
| 8 | Fast Learning in Networks of Locally-Tuned Processing Units | Neural Computation | 1989 | 3,752 |
| 9 | Bayesian Interpolation | Neural Computation | 1992 | 3,639 |
| 10 | Universal Approximation Using Radial-Basis-Function Networks | Neural Computation | 1991 | 3,401 |
| 11 | Training Products of Experts by Minimizing Contrastive Divergence | Neural Computation | 2002 | 3,295 |
| 12 | Learning to Forget: Continual Prediction with LSTM | Neural Computation | 2000 | 3,293 |
| 13 | Adaptive Mixtures of Local Experts | Neural Computation | 1991 | 3,109 |
| 14 | A Learning Algorithm for Continually Running Fully Recurrent Neural Networks | Neural Computation | 1989 | 3,097 |
| 15 | Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations | Neural Computation | 2002 | 2,887 |
| 16 | Neural Networks and the Bias/Variance Dilemma | Neural Computation | 1992 | 2,832 |
| 17 | A Fast Fixed-Point Algorithm for Independent Component Analysis | Neural Computation | 1997 | 2,828 |
| 18 | Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms | Neural Computation | 1998 | 2,651 |
| 19 | Canonical Correlation Analysis: An Overview with Application to Learning Methods | Neural Computation | 2004 | 2,353 |
| 20 | The NEURON Simulation Environment | Neural Computation | 1997 | 2,305 |
| 21 | Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review | Neural Computation | 2017 | 2,237 |
| 22 | New Support Vector Algorithms | Neural Computation | 2000 | 2,216 |
| 23 | The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks | Neural Computation | 2008 | 2,126 |
| 24 | A Practical Bayesian Framework for Backpropagation Networks | Neural Computation | 1992 | 2,072 |
| 25 | A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures | Neural Computation | 2019 | 1,983 |
| 26 | Hierarchical Mixtures of Experts and the EM Algorithm | Neural Computation | 1994 | 1,982 |
| 27 | Natural Gradient Works Efficiently in Learning | Neural Computation | 1998 | 1,919 |
| 28 | Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering | Neural Computation | 2004 | 1,883 |
| 29 | Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources | Neural Computation | 1999 | 1,614 |
| 30 | Generalized Discriminant Analysis Using a Kernel Approach | Neural Computation | 2000 | 1,489 |
| 31 | Mixtures of Probabilistic Principal Component Analyzers | Neural Computation | 1999 | 1,485 |
| 32 | Improvements to Platt's SMO Algorithm for SVM Classifier Design | Neural Computation | 2001 | 1,410 |
| 33 | Projected Gradient Methods for Nonnegative Matrix Factorization | Neural Computation | 2007 | 1,399 |
| 34 | Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel | Neural Computation | 2003 | 1,354 |
| 35 | What Size Net Gives Valid Generalization? | Neural Computation | 1989 | 1,317 |
| 36 | A Resource-Allocating Network for Function Interpolation | Neural Computation | 1991 | 1,248 |
| 37 | The Lack of A Priori Distinctions Between Learning Algorithms | Neural Computation | 1996 | 1,179 |
| 38 | Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors | Neural Computation | 2013 | 1,128 |
| 39 | Regularization Theory and Neural Networks Architectures | Neural Computation | 1995 | 1,105 |
| 40 | Feature Linking via Synchronization among Distributed Assemblies: Simulations of Results from Cat Visual Cortex | Neural Computation | 1990 | 1,059 |
| 41 | GTM: The Generative Topographic Mapping | Neural Computation | 1998 | 1,043 |
| 42 | What Is the Goal of Sensory Coding? | Neural Computation | 1994 | 1,039 |
| 43 | The Helmholtz Machine | Neural Computation | 1995 | 990 |
| 44 | High-Order Contrasts for Independent Component Analysis | Neural Computation | 1999 | 984 |
| 45 | First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method | Neural Computation | 1992 | 981 |
| 46 | Estimation of Entropy and Mutual Information | Neural Computation | 2003 | 956 |
| 47 | Shape Quantization and Recognition with Randomized Trees | Neural Computation | 1997 | 953 |
| 48 | Neural Network Classifiers Estimate Bayesian a posteriori Probabilities | Neural Computation | 1991 | 934 |
| 49 | Learning Overcomplete Representations | Neural Computation | 2000 | 927 |
| 50 | Slow Feature Analysis: Unsupervised Learning of Invariances | Neural Computation | 2002 | 926 |
