Joshua T. Abbott

13 papers and 261 indexed citations i.

Joshua T. Abbott has authored 13 papers that have received a total of 261 indexed citations. This includes 5 papers in Artificial Intelligence, 4 papers in Cognitive Neuroscience and 4 papers in Computer Vision and Pattern Recognition. The topics of these papers are Bayesian Modeling and Causal Inference (3 papers), Multisensory perception and integration (3 papers) and Face Recognition and Perception (3 papers). Joshua T. Abbott is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Multisensory perception and integration (3 papers) and Face Recognition and Perception (3 papers) and collaborates with scholars based in United States, United Kingdom and Canada. Joshua T. Abbott's co-authors include Thomas L. Griffiths, Joseph L. Austerweil, Terry Regier, Joshua C. Peterson and Anna Franklin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cognitive Science and Topics in Cognitive Science.