Neuroimaging
Neuroimaging techniques such as fMRI, EEG, and VSDI allow visualizing brain structure and function. Computational techniques are developed to analyze the results, and in some cases to model the underlying circuitry and processes in order to explain how the results arise.
People
Shlomo Bentin Collaborator shlomo bentin [at] huji ac il
Wilson S. Geisler Formerly affiliated Collaborator geisler [at] psy utexas edu
Ralph E. Hoffman Collaborator ralph hoffman [at] yale edu
Risto Miikkulainen Faculty risto [at] cs utexas edu
Manish Saggar Ph.D. Alumni saggar [at] stanford edu
Clifford Saron Collaborator cdsaron [at] ucdavis edu
Eyal Seidemann Formerly affiliated Collaborator eyal [at] mail cps utexas edu
Yiu Fai Sit Ph.D. Alumni yfsit [at] cs utexas edu
Dasa Zeithamova Formerly affiliated Collaborator zeithamova [at] mail utexas edu
Publications
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From Words to Sentences & Back: Characterizing Context-dependent Meaning Representations in the Brain 2017
Nora Aguirre-Celis, Manuel Valenzuela, and Risto Miikkulainen, In Proceedings of the 39th Annual Meeting of the Cognitive Science Society, London, UK, July 2017.
Mean-field thalamocortical modeling of longitudinal EEG acquired during intensive meditation training 2015
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, NeuroImage, Vol. 114 (2015), pp. 88-104. Elsevier.
Intensive training induces longitudinal changes in meditation state-related EEG oscillatory activity 2012
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 NeuroscienceAmishi P Jha (Eds.), Vol. 6, 00256 (2012).
Computational Analysis of Meditation 2011
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 2010
Manish Saggar, Risto Miikkulainen, David Schnyer, Journal of Brain Research, Vol. 1315 (2010), pp. 75--91.
Computational models inform clinical science and assessment: An application to category learning in striatal-damaged patients 2010
W. Todd Maddox, J. Vincent Filoteo and Dagmar Zeithamova, Journal of Mathematical Psychology, Vol. 54, 1 (2010), pp. 109-122.
A Population Gain Control Model of Spatiotemporal Responses in the Visual Cortex 2009
Yiu Fai Sit, PhD Thesis, Department of Computer Sciences, University of Texas at Austin. Technical Report AI09-06.
Complex Dynamics of V1 Population Responses Explained by a Simple Gain-Control Model 2009
Yiu Fai Sit, Yuzhi Chen, Wilson S. Geisler, Risto Miikkulainen, and Eyal Seidemann, Neuron, Vol. 64 (2009), pp. 943-956.
Category Learning Systems 2008
Dagmar Zeithamova, PhD Thesis, Institute for Neuroscience, The University of Texas at Austin.
Dissociable prototype learning systems: Evidence from brain imaging and behavior 2008
Dagmar Zeithamova, W. Todd Maddox and David M. Schnyer, Journal of Neuroscience, Vol. 28, 49 (2008), pp. 13194-13201.
Memory Processes in Perceptual Decision Making 2008
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 Signals in Optical Imaging with Voltage-Sensitive Dyes 2007
Yiu Fai Sit and Risto Miikkulainen, Neurocomputing (2007), pp. 1853-1857.
Projects
A computational analysis of meditation 2005 - Present
Labs
Neural Networks