neural networks research group
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.
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Combining fMRI Data and Neural Networks to Quantify Contextual Effects in the Brain
Nora Aguirre-Celis and Risto Miikkulainen
In Shouyi Wang, Vicky Yamamoto, Jianzhong Su, Yang Yang, Eric Jones, Leon Iasemidis, Tom Mitchell, e...
From Words to Sentences & Back: Characterizing Context-dependent Meaning Representations in the Brain
Nora Aguirre-Celis, Manuel Valenzuela, and Risto Miikkulainen
Proceedings of the 39th Annual Meeting of the Cognitive Science Society
, London, UK, July...
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...
, 114:88-104, 2015. 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 Ja...
Amishi P Jha, editors,
Frontiers in Human Neuroscience
, 6(00256), Sep 2012.
Computational Analysis of Meditation
PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 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.
Computational models inform clinical science and assessment: An application to category learning in striatal-damaged patients
W. Todd Maddox, J. Vincent Filoteo and Dagmar Zeithamova
Journal of Mathematical Psychology
, 54(1):109-122, 2010.
A Population Gain Control Model of Spatiotemporal Responses in the Visual Cortex
Yiu Fai Sit
PhD Thesis, Department of Computer Sciences, University of Texas at Austin, Austin, TX, 2009. Techni...
Complex Dynamics of V1 Population Responses Explained by a Simple Gain-Control Model
Yiu Fai Sit, Yuzhi Chen, Wilson S. Geisler, Risto Miikkulainen, and Eyal Seidemann
, 64:943-956, 2009.
Category Learning Systems
PhD Thesis, Institute for Neuroscience, The University of Texas at Austin, 2008.
Memory Processes in Perceptual Decision Making
Manish Saggar, Risto Miikkulainen, David M Schnyer
Proceedings of the 30th Annual Conference of the Cognitive Science Society
, Nashville, TN,...
Dissociable prototype learning systems: Evidence from brain imaging and behavior
Dagmar Zeithamova, W. Todd Maddox and David M. Schnyer
Journal of Neuroscience
, 28(49):13194-13201, 2008.
A Computational Model of the Signals in Optical Imaging with Voltage-Sensitive Dyes
Yiu Fai Sit and Risto Miikkulainen
shlomo bentin [at] huji ac il
Wilson S. Geisler
geisler [at] psy utexas edu
Ralph E. Hoffman
ralph hoffman [at] yale edu
risto [at] cs utexas edu
saggar [at] stanford edu
cdsaron [at] ucdavis edu
eyal [at] mail cps utexas edu
Yiu Fai Sit
yfsit [at] cs utexas edu
zeithamova [at] mail utexas edu
A computational analysis of meditation