Gina R. Kuperberg

Cognitive Neuroscience · 2003–2015

A researcher in the Science corpus: 4 papers; trusts 47 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 82 citations into it; #2,444 of 10,852 by trust here, #3,487 by citations
• Developmental and Educational Psychology — 48 citations into it; #1,795 of 8,223 by trust here, #2,859 by citations
• Artificial Intelligence — 26 citations into it
• Experimental and Cognitive Psychology — 25 citations into it
• Language and Linguistics — 13 citations into it
• Natural Language Processing — 9 citations into it
• Social Psychology — 8 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Gina R. Kuperberg trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. T. Landauer
2. Kara D. Federmeier
3. Karl J. Friston
4. Albert E. Kim
5. Walter Kintsch
6. Fernanda Ferreira
7. John C. J. Hoeks
8. Angela D. Friederici
9. James L. McClelland
10. Marta Kutas

Who trusts Gina R. Kuperberg overall

1. Cyma K Van Petten
2. Bruce Fischl
3. B. Luka
4. J. V. van Berkum
5. Anders M. Fjell
6. Jakub Michal Szewczyk
7. Mandy Faretta-Stutenberg
8. David H. Salat
9. Maria Spychalska
10. Harm Brouwer

Papers from Gina R. Kuperberg's perspective

Ordered by how strongly the researchers Gina R. Kuperberg trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• What do we mean by prediction in language comprehension? (2015) — 955 citations
• Neural mechanisms of language comprehension: challenges to syntax. (2007) — 865 citations
• In: Understanding Events: How Humans See, Represent, and Act on Events. (2007) — 93 citations
• Regionally localized thinning of the cerebral cortex in schizophrenia. (2003) — 984 citations