Stephen I. Ryu
Cognitive Neuroscience · 2006–2017
A researcher in the Science corpus: 10 papers; trusts 6 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 126 citations into it; #2,939 of 10,852 by trust here, #763 by citations
- Cellular and Molecular Neuroscience — 85 citations into it; #1,435 of 2,998 by trust here, #532 by citations
- Artificial Intelligence — 41 citations into it
- Computational Mathematics — 7 citations into it
- Model Architectures — 6 citations into it
Whom Stephen I. Ryu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Stephen I. Ryu overall
- John P. Donoghue
- Mikhail A. Lebedev
- John P. Cunningham
- Richard A. Andersen
- Miguel A. L. Nicolelis
- Weiguang Huo
Papers from Stephen I. Ryu's perspective
Ordered by how strongly the researchers Stephen I. Ryu trusts endorse each paper. Same corpus, a different order for every researcher.
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Stochastic Backpropagation and Approximate Inference in Deep Generative Models
- Reinforcement Learning: An Introduction
- Speech recognition with deep recurrent neural networks
- DRAW: A Recurrent Neural Network For Image Generation
- An Information-Maximization Approach to Blind Separation and Blind Deconvolution
- Information Theory, Inference, and Learning Algorithms
- Generating Sentences from a Continuous Space
- Learning the parts of objects by non-negative matrix factorization
- Scikit-learn: Machine Learning in Python
Their papers
- A high-performance brain–computer interface (2006) — 718 citations
- Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex (2011) — 350 citations
- A theory of multineuronal dimensionality, dynamics and measurement (2017) — 358 citations
- Single-Neuron Stability during Repeated Reaching in Macaque Premotor Cortex (2007) — 174 citations
- Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis (2017) — 301 citations
- Inferring single-trial neural population dynamics using sequential auto-encoders (2017) — 800 citations
- Neural constraints on learning (2014) — 666 citations
- Neural population dynamics during reaching (2012) — 1,632 citations
- Stimulus onset quenches neural variability: a widespread cortical phenomenon (2010) — 1,116 citations
- Functional, but Not Anatomical, Separation of "what" and "when" in Prefrontal Cortex Gaussian-process Factor Analysis for Low-dimensional Single-trial Analysis of Neural Population Activity