Morten H. Christiansen
Cognitive Neuroscience · 1999–2017
A researcher in the Science corpus: 14 papers; trusts 126 researchers and is trusted by 47 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 167 citations into it; #1,711 of 10,852 by trust here, #2,336 by citations
- Developmental and Educational Psychology — 144 citations into it; #803 of 8,223 by trust here, #699 by citations
- Experimental and Cognitive Psychology — 100 citations into it; #3,452 of 9,731 by trust here, #2,504 by citations
- Artificial Intelligence — 94 citations into it
- Language and Linguistics — 92 citations into it
- Cultural Studies — 70 citations into it; #132 of 609 by trust here, #66 by citations
- Cognitive Science & Psychology — 49 citations into it
- Statistical and Nonlinear Physics — 39 citations into it
Whom Morten H. Christiansen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jeffrey L. Elman
- Jenny R. Saffran
- W. Bruce Croft
- Adele E. Goldberg
- Moshe Bar
- Steven Pinker
- Maryellen C. MacDonald
- Simon Kirby
- Noam Chomsky
- Stephen C. Levinson
Who trusts Morten H. Christiansen overall
- Roger Levy
- Maryellen C. MacDonald
- Jeffrey L. Elman
- Armand Joulin
- Peter Alexander Jansen
- Peter Tino
- Theo Vosse
- Simon Kirby
- N. Chater
- Stefan L. Frank
Papers from Morten H. Christiansen's perspective
Ordered by how strongly the researchers Morten H. Christiansen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Networks in Cognitive Science (2013) — 304 citations
- Digging up the building blocks of language: Age-of-acquisition effects for multiword phrases (2017) — 87 citations
- Sound–meaning association biases evidenced across thousands of languages (2016) — 473 citations
- Consequences of the Now-or-Never bottleneck for signed versus spoken languages (2015) — 320 citations
- Statistical Learning and Language: An Individual Differences Study (2012) — 291 citations
- A Usage-Based Approach to Recursion in Sentence Processing (2009) — 134 citations
- Language Is a Complex Adaptive System: Position Paper (2009) — 904 citations
- Language as shaped by the brain. (2008) — 799 citations
- Processing of relative clauses is made easier by frequency of occurrence (2007) — 306 citations
- Synchronization and Continuation Tapping to Complex Meters (2006) — 88 citations
- Language Evolution: The Hardest Problem in Science? (2003) — 164 citations
- Language as an adaptation to the cognitive niche (2003) — 256 citations
- Reassessing working memory: comment on Just and Carpenter (1992) and Waters and Caplan (1996). (2002) — 716 citations
- Toward a connectionist model of recursion in human linguistic performance (1999)