UTCS Artificial Intelligence
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.
saggar [at] stanford edu
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 R. Aichele, Tonya L. Jacobs, B. Alan Wallace, Clifford D. Saron, Risto Miikkulainen,
, Vol. 114 (2015), pp. 88-104. Elsevier.
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 Jacobs, David A Bridwell, Phillip R Shaver, Erika L Rosenberg, Baljinder K Sahdra, Emilio Ferrer, Akaysha C Tang, George R Mangun, B Alan Wallace, Risto Miikkulainen, and Clifford D Saron,
Frontiers in Human Neuroscience
Amishi P Jha (Eds.), Vol. 6, 00256 (2012).
Computational Analysis of Meditation
Manish Saggar, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin.
Behavioral, neuroimaging, and computational evidence for perceptual caching in repetition priming
Manish Saggar, Risto Miikkulainen, David Schnyer,
Journal of Brain Research
, Vol. 1315 (2010), pp. 75--91.
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, Thomas D'Silva, Nate Kohl, and Peter Stone, In
RoboCup-2006: Robot Soccer World Cup X
, Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi (Eds.), Vol. 4434, pp. 98-109, Berlin 2007. Springer Verlag.
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.
A computational analysis of meditation
2005 - Present
Areas of Interest
Brain and Cognitive Disorders
Formerly affiliated with