Hava T. Siegelmann

98 papers and 3.6k indexed citations i.

Hava T. Siegelmann has authored 98 papers that have received a total of 3.6k indexed citations. This includes 54 papers in Artificial Intelligence, 24 papers in Cognitive Neuroscience and 23 papers in Computational Theory and Mathematics. The topics of these papers are Neural Networks and Applications (33 papers), Neural dynamics and brain function (23 papers) and Advanced Memory and Neural Computing (21 papers). Hava T. Siegelmann is often cited by papers focused on Neural Networks and Applications (33 papers), Neural dynamics and brain function (23 papers) and Advanced Memory and Neural Computing (21 papers) and collaborates with scholars based in United States, Israel and Canada. Hava T. Siegelmann's co-authors include Róbert Kozma, Asa Ben‐Hur, Daniel J. Saunders, Hananel Hazan and Eduardo D. Sontag and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.