Christian Lebiere
Cognitive Neuroscience · 1989–2017
A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 97 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 23 citations into it; #5,964 of 10,852 by trust here, #2,623 by citations
- Cognitive Science & Psychology — 15 citations into it; #357 of 582 by trust here, #415 by citations
- Experimental and Cognitive Psychology — 5 citations into it
Whom Christian Lebiere trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John R. Anderson
- Gordon D. Logan
- David E. Rumelhart
- Geoffrey E. Hinton
- Daphne Koller
- James L. McClelland
- Pedro M. Domingos
- Ian D. Watson
- Anne Treisman
- Jerry A. Fodor
Who trusts Christian Lebiere overall
- Ajith Abraham
- Kyunghyun Cho
- Alessio Micheli
- Yoshua Bengio
- David E. Moriarty
- Gary F. Marcus
- Mark B. Ring
- Charles M. Bishop
- Andres Perez-Uribe
- Hussein A. Abbass
Papers from Christian Lebiere's perspective
Ordered by how strongly the researchers Christian Lebiere trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Learning internal representations by error propagation
- Tensor Product Variable Binding and the Representation of Symbolic Structures in Connectionist Systems
- Connectionism and cognitive architecture: a critical analysis.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
- Long Short-Term Memory
- On the proper treatment of connectionism
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
Their papers
- How Limited Systematicity Emerges: A Computational Cognitive Neuroscience Approach (Author's Manuscript) (2014) — 16 citations
- A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics (2017) — 401 citations
- An integrated theory of the mind. (2004) — 3,220 citations
- Instance-based learning in dynamic decision making (2003) — 649 citations
- ACT-R: A Theory of Higher Level Cognition and Its Relation to Visual Attention (1997)
- The Cascade-Correlation Learning Architecture (1989)