Robert Hecht-Nielsen
About
Robert Hecht-Nielsen has authored 32 papers that have received a total of 1.3k indexed citations.
This includes 19 papers in Artificial Intelligence, 6 papers in Cognitive Neuroscience and 6 papers in Signal Processing. The topics of these papers are Neural Networks and Applications (16 papers), Blind Source Separation Techniques (6 papers) and Neural dynamics and brain function (4 papers). Robert Hecht-Nielsen is often cited by papers focused on Neural Networks and Applications (16 papers), Blind Source Separation Techniques (6 papers) and Neural dynamics and brain function (4 papers) and collaborates with scholars based in United States and Japan. Robert Hecht-Nielsen's co-authors include Stephen I. Gallant, Yeshaiahu Fainman, Tadashi Yamazaki, P.M. Chau and Thomas M. McKenna and has published in prestigious journals such as Science, The Journal of the Acoustical Society of America and Neural Computation.
In The Last Decade
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