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Bayesian brain
Results: 49

#	Item
31	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.princeton.edu Language: English - Date: 2014-05-19 05:49:39 Bayesian statistics Statistical theory Kullback–Leibler divergence Thermodynamics Identifiability Marginal likelihood Gamma distribution Functional magnetic resonance imaging Markov chain Statistics Logic Estimation theory
32	Factsheet - Baysian modelling Add to Reading List Source URL: archive.nwc.gov.au Language: English - Date: 2012-10-16 19:46:05 Bayesian network Adaptive management Environment Environmental flow Ecology Bayesian brain Swat-CUP Bayesian statistics Statistics Learning
33	A framework for Bayesian optimality of psychophysical laws Add to Reading List Source URL: www.rle.mit.edu Language: English - Date: 2012-10-01 12:00:38 Perception Psychophysics Bayesian statistics Logarithms Neuroscience Weber–Fechner law Mathematical psychology Just-noticeable difference Bayesian brain Psychology Mind Cognitive science
34	Learning Under Uncertainty: A model-based approach for understanding gambling behaviour Erica C. Yu, David Lagnado, & Nick Chater Department of Cognitive, Perceptual and Brain Sciences University College London Add to Reading List Source URL: www.rgsb.org.uk Language: English - Date: 2011-07-20 05:44:44 Bayesian statistics Science Behavioral finance Probability interpretations Measurement Uncertainty Prior probability Decision making Gambling Statistics Decision theory Probability and statistics
35	Early Warning of EUSIG-Deﬁned Hypotensive Events Using a Bayesian Artiﬁcial Neural Network Rob Donald, Tim Howells, Ian Piper, I. Chambers, G. Citerio, P. Enblad, B. Gregson, K. Kiening, J. Mattern, P. Nilsson, A. Ra Add to Reading List Source URL: www.brain-it.eu Language: English - Date: 2013-03-29 08:49:48 Artificial neural network Computational neuroscience Receiver operating characteristic Type I and type II errors Causality Bayesian inference Near-death experience Regression analysis Statistics Statistical classification Neuroscience
36	Markov Chain Monte Carlo with People Adam N. Sanborn Psychological and Brain Sciences Indiana University Bloomington, IN 47045 Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2008-12-18 19:25:53 Statistical inference Monte Carlo methods Markov models Markov chain Monte Carlo Markov chain Estimation theory Normal distribution Metropolis–Hastings algorithm Bayesian probability Statistics Probability and statistics Bayesian statistics
37	Colloquium Finding scientific topics Thomas L. Griffiths†‡ and Mark Steyvers§ Department of Psychology, Stanford University, Stanford, CA 94305; †Department of Brain and Cognitive Sciences, Massachusetts Instit Add to Reading List Source URL: psiexp.ss.uci.edu Language: English - Date: 2004-10-11 11:58:17 Latent Dirichlet allocation Markov models Gibbs sampling Variational Bayesian methods Expectation–maximization algorithm Gamma function Markov chain Object categorization from image search Statistics Statistical natural language processing Markov chain Monte Carlo
38	Bayesian Methods and Universal Darwinism John Campbell Abstract. Bayesian methods since the time of Laplace have been understood by their practitioners as closely aligned to the scientific method. Indeed a recent champio Add to Reading List Source URL: www.universaldarwinism.com Language: English - Date: 2009-10-12 12:38:57 Probability and statistics Statistical theory Philosophy of thermal and statistical physics Interdisciplinary fields Evolution Universal Darwinism Principle of maximum entropy Edwin Thompson Jaynes Bayesian brain Statistics Bayesian statistics Science
39	Statistical Models of the Brain: Topics Introduction • Overview of course: Statistical models of neural coding and human behavior • Statistical Background: probability; statistical models; and confidence intervals. Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2013-03-02 11:44:25 Science Neural coding Biology Cognition Biological neural network Temporal coding Bayesian brain Cognitive neuroscience Population coding Neural networks Computational neuroscience Neuroscience
40	REM II: A Bayesian model of the organization of the semantic and episodic memory systems Shane T. Mueller & Richard M. Shiffrin Indiana University, Bloomington, Department of Psychological and Brain Sciences stmuelle@ind Add to Reading List Source URL: obereed.net Language: English - Date: 2008-12-01 10:48:34 Cognitive science Psychology Semantic memory Episodic memory Storage Encoding Recognition memory Priming Mind Memory Mental processes