Dennis Norris
Cognitive Neuroscience · 2000–2010
A researcher in the Science corpus: 5 papers; trusts 26 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 23 citations into it
- Experimental and Cognitive Psychology — 20 citations into it; #551 of 9,731 by trust here, #1,432 by citations
- Developmental and Educational Psychology — 19 citations into it; #628 of 8,223 by trust here, #4,146 by citations
- Cognitive Science & Psychology — 9 citations into it
- Language and Linguistics — 8 citations into it; #1,768 of 3,093 by trust here, #345 by citations
- Artificial Intelligence — 6 citations into it; #5,726 of 35,345 by trust here, #13,353 by citations
- Natural Language Processing — 5 citations into it
Whom Dennis Norris trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James L. McClelland
- John R. Anderson
- David E. Rumelhart
- David John Cameron MacKay
- Frederick Jelinek
- Matthew W. Crocker
- Manuel Perea
- Janet B. Pierrehumbert
- Denis G. Pelli
- R. Duncan Luce
Who trusts Dennis Norris overall
- H. Baayen
- Colin J. Davis
- Eric-Jan Wagenmakers
- Nathaniel J. Smith
- R. Harald Baayen
- Jeff G. Malins
- James M. McQueen
- Gina R. Kuperberg
- Jeffrey S. Bowers
- Roger Levy
Papers from Dennis Norris's perspective
Ordered by how strongly the researchers Dennis Norris trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Understanding normal and impaired word reading: computational principles in quasi-regular domains.
- Long Short-Term Memory
- An interactive activation model of context effects in letter perception: I. An account of basic findings.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Learning internal representations by error propagation
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- A distributed, developmental model of word recognition and naming.
Their papers
- A stimulus sampling theory of letter identity and order (2010) — 115 citations
- Shortlist B: a Bayesian model of continuous speech recognition. (2008) — 658 citations
- The Bayesian reader: explaining word recognition as an optimal Bayesian decision process. (2006) — 397 citations
- Phonological Abstraction in the Mental Lexicon (2006) — 302 citations
- Merging information in speech recognition: Feedback is never necessary (2000) — 731 citations