Jason Allan Palmer

2012-2016 Swartz Center for Computational Neuroscience, Insti- tute for Neural Computation, University of California San Diego, Asst. Project Scientist
2016-2017 Institute of Innovative Research, Tokyo Institute of Technology, Specially Appointed Assistant Professor
2017- Global Center for Medical Engineering and Information, Osaka University,Lecturer

Field of Specialization

Biointerfaces Unit(IIR, Tokyo Tech)
University of California San Diego(U.S.A)

Research Hub Group:Information and Artificial Intelligence Research International Hub Group

Research Highlights

  • Development of algorithm for noise reduction and extraction of useful information from brain activities using Independent Component Analysis. 

Selected Publications

  • 2013 Palmer, J. A., Kreutz-Delgado, K., and Makeig, S. “Linear Process Mixture Model for Piece- wise Stationary Multichannel Blind Deconvolution,” Proceedings of the IEEE Intl Conf on Machine Learning for Signal Processing
  • 2012 Palmer, J. A. and Makeig, S. “Contrast Functions for Independent Subspace Analysis,” Pro- ceedings of the 10th International Conference on Latent Variable Analysis and Signal Sepa- ration, Edited by A. Yereador, M. Zibulevsky, A. Cichocki, and F. Theis, Lecture Notes in Computer Science, Springer
  • 2010 Palmer, J. A., Makeig, S., and Kreutz-Delgado, K. “Strong Sub- and Super-Gaussianity,” Proceedings of the 9th International Conference on Latent Variable Analysis and Independent Component Analysis, Edited by Remi Gribonval and Emmanuel Vincent, Lecture Notes in Computer Science, Springer