Sun, 27 Jul 2008 11:07:16 BST CiteULike: mbregman bayesian http://www.citeulike.org/user/mbregman/tag/bayesian CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/mbregman/article/2906224 <i>Journal of Theoretical Biology, Vol. 29, No. 3. (December 1970), pp. 427-445.</i><br /><br />This paper reviews techniques for examining sequential dependencies in a series of behavioural events and points out the relationship between the [chi]2 goodness-of-fit test and information theory. The paper also considers how the techniques should be modified when the behavioural events are not immediately repeated or when events are often repeated a large number of times. Some examples are given to illustrate the use of information theory. Analysing sequences of behavioural events Christopher Chatfield Robert Lemon doi:10.1016/0022-5193(70)90107-4 Journal of Theoretical Biology, Vol. 29, No. 3. (December 1970), pp. 427-445. 2008-06-18T21:18:21-00:00 1970 Journal of Theoretical Biology 29 3 427 445 bayesian birdsong probability http://www.citeulike.org/user/mbregman/article/1317469 <i>Nat Neurosci (13 May 2007)</i><br /><br />There are many causes for variation in the responses of the motor apparatus to neural commands. Fast-timescale disturbances occur when muscles fatigue. Slow-timescale disturbances occur when muscles are damaged or when limb dynamics change as a result of development. To maintain performance, motor commands need to adapt. Computing the best adaptation in response to any performance error results in a credit assignment problem: which timescale is responsible for this disturbance? Here we show that a Bayesian solution to this problem accounts for numerous behaviors of animals during both short- and long-term training. Our analysis focused on characteristics of the oculomotor system during learning, including the effects of time passage. However, we suggest that learning and memory in other paradigms, such as reach adaptation, adaptation of visual neurons and retrieval of declarative memories, largely follow similar rules. The dynamics of memory as a consequence of optimal adaptation to a changing body. Konrad P Kording Joshua B Tenenbaum Reza Shadmehr doi:10.1038/nn1901 Nat Neurosci (13 May 2007) 2007-05-21T14:39:45-00:00 2007 Nat Neurosci 1097-6256 bayesian motor http://www.citeulike.org/user/mbregman/article/397843 <i>Psychol Rev, Vol. 112, No. 4. (October 2005), pp. 979-999.</i><br /><br />Several norms for how people should assess a question's usefulness have been proposed, notably Bayesian diagnosticity, information gain (mutual information), Kullback-Liebler distance, probability gain (error minimization), and impact (absolute change). Several probabilistic models of previous experiments on categorization, covariation assessment, medical diagnosis, and the selection task are shown to not discriminate among these norms as descriptive models of human intuitions and behavior. Computational optimization found situations in which information gain, probability gain, and impact strongly contradict Bayesian diagnosticity. In these situations, diagnosticity's claims are normatively inferior. Results of a new experiment strongly contradict the predictions of Bayesian diagnosticity. Normative theoretical concerns also argue against use of diagnosticity. It is concluded that Bayesian diagnosticity is normatively flawed and empirically unjustified. ((c) 2005 APA, all rights reserved). Finding useful questions: on bayesian diagnosticity, probability, impact, and information gain. JD Nelson doi:10.1037/0033-295X.112.4.979 Psychol Rev, Vol. 112, No. 4. (October 2005), pp. 979-999. 2005-11-17T02:14:27-00:00 2005 Psychol Rev 0033-295X 112 4 979 999 bayesian decision-making