Joshua T. Abbott

13 papers and 259 indexed citations i.

Joshua T. Abbott has authored 13 papers that have received a total of 259 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 Categorization, perception, and language (3 papers), Bayesian Modeling and Causal Inference (3 papers) and Multisensory perception and integration (3 papers). Joshua T. Abbott is often cited by papers focused on Categorization, perception, and language (3 papers), Bayesian Modeling and Causal Inference (3 papers) and Multisensory perception and integration (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, Joshua C. Peterson, Terry Regier and Ed Vul and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cognitive Science and Topics in Cognitive Science.