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Manish Saggar
Ph.D. Alumni
Manish did PhD on computational analysis and modeling of EEG recordings on meditation training, with Cliff Saron of UC Davis as his co-advisor. Manish went on for a postdoc at Allan Reiss's lab at Stanford University.
Homepage:
http://web.stanford.edu/~saggar/newsite/index.html
Projects
A computational analysis of meditation Since 2005
Publications
Implementing evolutionary optimization to model resting state functional connectivity Kaitlin Maile, Risto Miikkulainen, and Manish Saggar In Society for Neuroscience Abstracts, 2019. Society for Neuroscience. 2019
Mean-field thalamocortical modeling of longitudinal EEG acquired during intensive meditation training Manish Saggar, Anthony P. Zanesco, Brandon G. King, David A. Bridwell, Katherine A. MacLean, Stephen... NeuroImage, 114:88-104, 2015. Elsevier. 2015
Intensive training induces longitudinal changes in meditation state-related EEG oscillatory activity Manish Saggar, Brandon G King, Anthony P Zanesco, Katherine A MacLean, Stephen R Aichele, Tonya L Ja... Amishi P Jha, editors, Frontiers in Human Neuroscience, 6(00256), Sep 2012. 2012
Computational Analysis of Meditation Manish Saggar PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 2011. 2011
Behavioral, neuroimaging, and computational evidence for perceptual caching in repetition priming Manish Saggar, Risto Miikkulainen, David Schnyer Journal of Brain Research, 1315:75--91, 2010. 2010
Memory Processes in Perceptual Decision Making Manish Saggar, Risto Miikkulainen, David M Schnyer In Proceedings of the 30th Annual Conference of the Cognitive Science Society, Nashville, TN,... 2008
A computational model of the motivation-learning interface Manish Saggar, Arthur B Markman, W Todd Maddox, Risto Miikkulainen In Proceedings of the 29th Annual Conference of the Cognitive Science Society, Nashville, TN,... 2007
Autonomous Learning of Stable Quadruped Locomotion Manish Saggar and Thomas D'Silva and Nate Kohl and Peter Stone In Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi, editors, Ro... 2007
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks Manish Saggar, Tekin Mericli, Sari Andoni, Risto Miikkulainen In Proceedings of International Joint Conference on Neural Networks, Orlando, Florida, August... 2007
Areas of Interest
Cognitive Science Neuroimaging Brain and Cognitive Disorders Computational Neuroscience
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