Jerome R. Busemeyer
Cognitive Neuroscience · 2001–2017
A researcher in the Science corpus: 11 papers; trusts 51 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 28 citations into it; #2,473 of 10,852 by trust here, #5,528 by citations
- General Decision Sciences — 27 citations into it; #268 of 1,995 by trust here, #402 by citations
- Artificial Intelligence — 23 citations into it
- Economics and Econometrics — 19 citations into it; #7,663 of 23,481 by trust here, #9,665 by citations
- Cognitive Science & Psychology — 16 citations into it
- Management Science and Operations Research — 14 citations into it; #2,997 of 11,946 by trust here, #4,267 by citations
- Atomic and Molecular Physics, and Optics — 11 citations into it; #3,837 of 7,135 by trust here, #4,526 by citations
- History and Philosophy of Science — 10 citations into it
Whom Jerome R. Busemeyer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik Aerts
- Roger Ratcliff
- A. Khrennikov
- John K. Kruschke
- Lawrence R. Rabiner
- Dominic Widdows
- Peter Høyer
- Gerd Gigerenzer
- Amos Tversky
- David E. Rumelhart
Who trusts Jerome R. Busemeyer overall
- Stephen M. Fleming
- Diederik Aerts
- Roger Ratcliff
- Joseph G. Johnson
- Zheng Wang
- Brian Maniscalco
- R. J. Dolan
- Takayuki Osogami
- Faruk Gul
- H. Lau
Papers from Jerome R. Busemeyer's perspective
Ordered by how strongly the researchers Jerome R. Busemeyer 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)
- Long Short-Term Memory
- The time course of perceptual choice: the leaky, competing accumulator model.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Individual Choice Behavior
- Probabilistic reasoning in intelligent systems: Networks of plausible inference
- A tutorial on hidden Markov models and selected applications in speech recognition
Their papers
- Dynamic Systems (2017) — 73 citations
- Extending the Bounds of Rationality: Evidence and Theories of Preferential Choice (2006) — 363 citations
- Multialternative Decision Field Theory: A Dynamic Connectionist Model of Decision Making (2001) — 399 citations
- Two-stage dynamic signal detection: a theory of choice, decision time, and confidence. (2010) — 677 citations
- What Is Quantum Cognition, and How Is It Applied to Psychology? (2015) — 94 citations
- Quantum Models of Cognition and Decision (2012) — 997 citations
- A quantum theoretical explanation for probability judgment errors. (2011) — 413 citations
- Motivational Processing and Choice Behavior During Television Viewing: An Integrative Dynamic Approach (2011) — 94 citations
- Introduction to the special issue on quantum cognition (2009) — 82 citations
- The effect of foregone payoffs on underweighting small probability events (2006) — 115 citations
- Quantum dynamics of human decision-making (2006) — 499 citations