| Towards Naturalistic Speech Decoding from Intracranial Brain Data. | 0 | 0.34 | 2022 |
| Modeling, Recognizing, and Explaining Apparent Personality From Videos | 2 | 0.36 | 2022 |
| Automatic Variational Inference With Cascading Flows | 0 | 0.34 | 2021 |
| Detecting neural state transitions underlying event segmentation | 0 | 0.34 | 2021 |
| Validation of structural brain connectivity networks: The impact of scanning parameters. | 6 | 0.42 | 2020 |
| Brain-optimized extraction of complex sound features that drive continuous auditory perception. | 0 | 0.34 | 2020 |
| Simulating neuroprosthetic vision for emotion recognition | 0 | 0.34 | 2019 |
| The functional role of cue-driven feature-based feedback in object recognition. | 0 | 0.34 | 2019 |
| Perturbative estimation of stochastic gradients. | 0 | 0.34 | 2019 |
| Eye movements explain decodability during perception and cued attention in MEG. | 3 | 0.43 | 2019 |
| Temporal Factorization of 3D Convolutional Kernels. | 0 | 0.34 | 2019 |
| Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos. | 1 | 0.35 | 2018 |
| Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges. | 10 | 0.90 | 2018 |
| Multimodal First Impression Analysis with Deep Residual Networks. | 6 | 0.44 | 2018 |
| Wasserstein Variational Inference. | 0 | 0.34 | 2018 |
| New advances in encoding and decoding of brain signals | 1 | 0.43 | 2018 |
| First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis. | 2 | 0.36 | 2018 |
| Wasserstein Variational Gradient Descent: From Semi-Discrete Optimal Transport to Ensemble Variational Inference. | 0 | 0.34 | 2018 |
| Convolutional neural network-based encoding and decoding of visual object recognition in space and time. | 8 | 0.54 | 2018 |
| Computational Foundations of Natural Intelligence. | 5 | 0.58 | 2017 |
| The missing link: Predicting connectomes from noisy and partially observed tract tracing data. | 0 | 0.34 | 2017 |
| Editorial: Artificial Neural Networks as Models of Neural Information Processing. | 13 | 0.85 | 2017 |
| Reconstructing perceived faces from brain activations with deep adversarial neural decoding. | 2 | 0.41 | 2017 |
| Dynamic decomposition of spatiotemporal neural signals. | 3 | 0.38 | 2017 |
| Deep adversarial neural decoding. | 1 | 0.34 | 2017 |
| End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks. | 6 | 0.51 | 2017 |
| Increasingly complex representations of natural movies across the dorsal stream are shared between subjects. | 17 | 0.76 | 2017 |
| Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks. | 9 | 0.57 | 2017 |
| GP CaKe: Effective brain connectivity with causal kernels. | 1 | 0.34 | 2017 |
| Visualizing Apparent Personality Analysis with Deep Residual Networks. | 3 | 0.38 | 2017 |
| Brains on Beats | 0 | 0.34 | 2016 |
| Brains on Beats | 0 | 0.34 | 2016 |
| Predicting and visualizing psychological attributions with a deep neural network | 0 | 0.34 | 2016 |
| Convolutional Sketch Inversion. | 4 | 0.41 | 2016 |
| Preference for audiovisual speech congruency in superior temporal cortex | 0 | 0.34 | 2016 |
| Measuring directionality between neuronal oscillations of different frequencies. | 11 | 0.82 | 2015 |
| Predicting psychological attributions from face photographs with a deep neural network | 0 | 0.34 | 2015 |
| Modality-specific alpha modulations facilitate long-term memory encoding in the presence of distracters. | 2 | 0.47 | 2015 |
| Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates. | 4 | 0.41 | 2015 |
| Hidden Markov Models for Reading Words from the Human Brain | 0 | 0.34 | 2015 |
| Gaussian mixture models and semantic gating improve reconstructions from human brain activity. | 4 | 0.43 | 2015 |
| Unsupervised feature learning improves prediction of human brain activity in response to natural images. | 4 | 0.42 | 2014 |
| Gaussian mixture models improve fMRI-based image reconstruction | 3 | 0.40 | 2014 |
| Linear reconstruction of perceived images from human brain activity. | 21 | 1.00 | 2013 |
| Dynamic decoding of ongoing perception. | 3 | 0.42 | 2011 |
| Neural decoding with hierarchical generative models | 17 | 0.99 | 2010 |
| Bayesian Source Localization with the Multivariate Laplace Prior. | 19 | 1.03 | 2009 |
| Selecting features for BCI control based on a covert spatial attention paradigm | 7 | 1.43 | 2009 |
| Iconic and multi-stroke gesture recognition | 43 | 1.56 | 2009 |
| Interpreting single trial data using groupwise regularisation. | 20 | 9.22 | 2009 |
