A. Ross Otto
Cognitive Neuroscience · 2014–2018
A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 76 citations into it; #4,077 of 10,852 by trust here, #3,544 by citations
- Cellular and Molecular Neuroscience — 33 citations into it
- Neuroscience — 17 citations into it
- Reinforcement Learning — 12 citations into it
- Experimental and Cognitive Psychology — 11 citations into it
- Cognitive Science & Psychology — 8 citations into it
- Artificial Intelligence — 6 citations into it
- Statistics and Probability — 5 citations into it
Whom A. Ross Otto trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Todd S. Braver
- Matthew Botvinick
- J. Cohen
- Peter S. Dayan
- Nathaniel D. Daw
- Samuel J. Gershman
- Richard S. Sutton
- Michael J Frank
- Wolfram Schultz
- Yael Niv
Who trusts A. Ross Otto overall
- Ida Momennejad
- Wendy Wood
- Wouter Kool
- Hilary J Don
- Samuel J. Gershman
- Claire M. Gillan
- Anna Thorwart
Papers from A. Ross Otto's perspective
Ordered by how strongly the researchers A. Ross Otto trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control
- A Neural Substrate of Prediction and Reward
- Long Short-Term Memory
- Conflict monitoring and cognitive control. (Psychology Review)
- Hippocampal Contributions to Control: The Third Way
- Improving Generalization for Temporal Difference Learning: The Successor Representation
- Parsing executive processes: strategic vs. evaluative functions of the anterior cingulate cortex. (Proceedings of the National Academy of Sciences of the United States of America)
- An integrative theory of prefrontal cortex function.
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
Their papers
- Offline replay supports planning in human reinforcement learning (2018) — 127 citations
- Rule abstraction, model-based choice, and cognitive reflection (2016) — 31 citations
- Model-based learning protects against forming habits (2015) — 249 citations
- Retrospective revaluation in sequential decision making: a tale of two systems. (2014) — 214 citations
- Cognitive Control Predicts Use of Model-based Reinforcement Learning (2014) — 184 citations