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Bayesian brain
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11	Available online at www.sciencedirect.com ScienceDirect LFP and oscillations—what do they tell us? Karl J Friston1, Andre´ M Bastos2,3, Dimitris Pinotsis1 and Vladimir Litvak1 Add to Reading List Source URL: www.esi-frankfurt.de Language: English - Date: 2014-08-15 06:18:59 Neural networks Cognitive neuroscience Electrophysiology Neurophysiology Computational neuroscience Neural oscillation Bayesian brain Electroencephalography Biological neural network Neuroscience Biology Mind
12	Psychological Bulletin 2012, Vol. 138, No. 3, 415– 422 © 2012 American Psychological Association/$12.00 DOI: a0026884 Add to Reading List Source URL: www.yangzhiping.com Language: English - Date: 2015-01-28 00:11:16 Bayesian inference Bayesian probability Statistical inference Concept learning Bayesian network Graphical model Probabilistic logic Cognitive science Bayesian brain Statistics Bayesian statistics Bayesian cognitive science
13	PDF Document Add to Reading List Source URL: www.yorku.ca Language: English - Date: 2013-06-17 17:19:02 Cognitive neuroscience Mental processes Philosophy of mind Cognition Computational neuroscience Bayesian brain Visual perception Neural network Perception Mind Cognitive science Science
14	A Novel Bayesian Approach to Adaptive Mean Shift Segmentation of Brain Images Qaiser Mahmood, Artur Chodorowski, Andrew Mehnert, Mikael Persson Department of Signals and Systems, MedTech West, Chalmers University of Tech Add to Reading List Source URL: www.medtechwest.se Language: English - Date: 2012-08-30 06:11:02 Image processing Geostatistics Multivariate statistics K-nearest neighbor algorithm Kernel density estimation Segmentation Statistical classification K-means clustering Density estimation Statistics Non-parametric statistics Machine learning
15	Gaussian Process Regression for Trajectory Analysis Gregory E. Cox () George Kachergis () Richard M. Shiffrin () Department of Psychological and Brain Sciences, In Add to Reading List Source URL: www.kachergis.com Language: English - Date: 2012-05-02 13:37:32 Data analysis Estimation theory Bayesian statistics Gaussian process Kriging Normal distribution Multivariate normal distribution Covariance function Linear regression Statistics Geostatistics Covariance and correlation
16	Topographic Factor Analysis: A Bayesian Model for Inferring Brain Networks from Neural Data Jeremy R. Manning1,2, Rajesh Ranganath2, Kenneth A. Norman1,3, David M. Blei2 1 Princeton Neuroscience Institute, Princeton Uni Add to Reading List Source URL: www.cs.columbia.edu Language: English* - Date: 2015-03-27 16:31:07 Magnetic resonance imaging Neuroimaging Statistical models Functional magnetic resonance imaging Normal distribution Principal component analysis Kullback–Leibler divergence Independent component analysis Statistics Data analysis Multivariate statistics
17	Simplicity Bias in the Estimation of Causal Functions Daniel R. Little ([removed]) Richard M. Shiffrin ([removed]) Department of Psychological and Brain Sciences, Indiana University 1101 E. 10th St, Add to Reading List Source URL: old.psych.unimelb.edu.au Language: English - Date: 2012-03-06 16:06:07 Statistical theory Econometrics Bayesian inference Bayesian linear regression Polynomial regression Linear regression Statistical inference Normal distribution Conjugate prior Statistics Bayesian statistics Regression analysis
18	Decomposing Spatiotemporal Brain Patterns into Topographic Latent Sources Samuel J. Gershman∗ Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Bayesian statistics Statistical theory Kullback–Leibler divergence Thermodynamics Identifiability Marginal likelihood Gamma distribution Functional magnetic resonance imaging Markov chain Statistics Logic Estimation theory
19	Magnetic Resonance in Medicine 55:187–[removed]Modeling Water Diffusion Anisotropy Within Fixed Newborn Primate Brain Using Bayesian Probability Theory Christopher D. Kroenke,1* G. Larry Bretthorst,1 Terrie E. Inder Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2011-05-02 17:40:39 Optics Diffusion MRI Tensors Recording Voxel Parameter Diffusion Neuroimaging Magnetic resonance imaging Imaging
20	Measuring efficiency in the estimation of causal functions Daniel R. Little, Richard M. Shiffrin & Woojae Kim Department of Psychological and Brain Sciences, Indiana University Introduction Add to Reading List Source URL: old.psych.unimelb.edu.au Language: English - Date: 2012-03-06 16:06:09 Bayesian linear regression Perceptron Statistics Bayesian statistics Posterior probability

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