| A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures |
32 |
| SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks |
26 |
| Fully Convolutional Network-Based Multifocus Image Fusion |
13 |
| Multiclass Alpha Integration of Scores from Multiple Classifiers |
9 |
| Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions |
8 |
| t-SNE Visualization of Large-Scale Neural Recordings |
8 |
| The Discrete and Continuous Brain: From Decisions to MovementAnd Back Again |
8 |
| Dense Associative Memory Is Robust to Adversarial Inputs |
7 |
| Supervised Determined Source Separation with Multichannel Variational Autoencoder |
7 |
| Balancing New against Old Information: The Role of Puzzlement Surprise in Learning |
7 |
| A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition |
7 |
| Biologically Realistic Mean-Field Models of Conductance-Based Networks of Spiking Neurons with Adaptation |
7 |
| Accelerating Nonnegative Matrix Factorization Algorithms Using Extrapolation |
6 |
| A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression |
5 |
| Active Inference, Belief Propagation, and the Bethe Approximation |
5 |
| Statistics of Visual Responses to Image Object Stimuli from Primate AIT Neurons to DNN Neurons |
5 |
| A Reinforcement Learning Neural Network for Robotic Manipulator Control |
5 |
| Gated Orthogonal Recurrent Units: On Learning to Forget |
5 |
| Machine Learning: Deepest Learning as Statistical Data Assimilation Problems |
5 |
| Improving Stock Closing Price Prediction Using Recurrent Neural Network and Technical Indicators |
5 |
| Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression |
4 |
| Encoding Time in Feedforward Trajectories of a Recurrent Neural Network Model |
4 |
| Solving Constraint-Satisfaction Problems with Distributed Neocortical-Like Neuronal Networks |
4 |
| A Geometrical Analysis of Global Stability in Trained Feedback Networks |
4 |
| An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks |
4 |
| Effect of Depth and Width on Local Minima in Deep Learning |
4 |
| The Information Bottleneck and Geometric Clustering |
4 |
| Spiking Elementary Motion Detector in Neuromorphic Systems |
3 |
| Dynamics of Learning in MLP: Natural Gradient and Singularity Revisited |
3 |
| Omitted Variable Bias in GLMs of Neural Spiking Activity |
3 |
| Limitations of Proposed Signatures of Bayesian Confidence |
3 |
| Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social Intelligence |
3 |
| Gradient Descent with Identity Initialization Efficiently Learns Positive-Definite Linear Transformations by Deep Residual Networks |
3 |
| When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time |
3 |
| Improving the Antinoise Ability of DNNs via a Bio-Inspired Noise Adaptive Activation Function Rand Softplus |
3 |
| Methods for Assessment of Memory Reactivation |
3 |
| Filtering Compensation for Delays and Prediction Errors during Sensorimotor Control |
3 |
| Designing Patient-Specific Optimal Neurostimulation Patterns for Seizure Suppression |
3 |
| Why Does Large Batch Training Result in Poor Generalization? A Comprehensive Explanation and a Better Strategy from the Viewpoint of Stochastic Optimization |
3 |
| Hidden Quantum Processes, Quantum Ion Channels, and 1/f-Type Noise |
3 |
| Joint Estimation of Effective Brain Wave Activation Modes Using EEG/MEG Sensor Arrays and Multimodal MRI Volumes |
3 |
| Adaptive Structure Concept Factorization for Multiview Clustering |
3 |
| Circuit Polarity Effect of Cortical Connectivity, Activity, and Memory |
3 |
| Learning Data Manifolds with a Cutting Plane Method |
3 |
| Recognition Dynamics in the Brain under the Free Energy Principle |
2 |
| A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks |
2 |
| Facet Annotation by Extending CNN with a Matching Strategy |
2 |
| Distributed Newton Methods for Deep Neural Networks |
2 |
| Learning Midlevel Auditory Codes from Natural Sound Statistics |
2 |
| Imaging the Spatiotemporal Dynamics of Cognitive Processes at High Temporal Resolution |
2 |
