PPT-1 st level analysis: Design matrix, contrasts, and inference

Author : wilson | Published Date : 2022-05-17

Roy Harris amp Caroline Charpentier Outline What is 1st level analysis The Design matrix What are we testing for What do all the black lines mean What do we need

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1 st level analysis: Design matrix, contrasts, and inference: Transcript


Roy Harris amp Caroline Charpentier Outline What is 1st level analysis The Design matrix What are we testing for What do all the black lines mean What do we need to include Contrasts. We usually want to answer certain questions posed by the objectives of the experiment. Irrigation experiment (a 2 x 2 factorial). 1 cm/ha applied early . (m. 1. ). 1 cm/ha applied late . (m. 2. ). 2 cm/ha applied early . 1. Inferior parietal involvement in long term memory. There is a hypothesis that different brain regions are recruited during recall processes. A distinction between recognition -> I remember details of learning how to calculate contrasts, like who taught me and why. and familiarity -> I have a vague notion that contrasts were described to me at some point.. Kari Lock Morgan. Department of Statistical Science, Duke University. kari@stat.duke.edu. . with Robin Lock, Patti Frazer Lock, Eric Lock, Dennis Lock. ECOTS. 5/16/12. Hypothesis Testing:. Use a formula to calculate a test statistic. fMRI. Guillaume Flandin. Wellcome. Trust Centre for Neuroimaging. University College London. SPM Course. Chicago, 22-23 Oct 2015. Brief. Stimulus. Undershoot. Peak. BOLD . r. esponse. Early event-related fMRI studies . Chris . Mathys. Wellcome Trust Centre for Neuroimaging. UCL. SPM Course. London, May 11, 2015. Thanks to Jean . Daunizeau. and . Jérémie. . Mattout. for previous versions of this talk. A spectacular piece of information. STOP!. Notice and Note. Signpost One– . Contrasts and . Contradictions. WHY USE IT? To examine how and why a character is changing in a story, developing over time.. STOP!. Notice and Note. When you . Sergio Pissanetzky. Sergio@SciControls.com. Emergent Inference. Any system. VISION. ROBOT. SOFTWARE. your mom. grab. an. object. computer. program. eyes. cameras,. sensors. translation. 100,000,000. Warm up. Share your picture with the people at your table group.. Make sure you have your Science notebook, agenda and a sharpened pencil. use tape to put it in front of your table of contents. Describe the difference between observations and inferences. Susan Athey, Stanford GSB. Based on joint work with Guido Imbens, Stefan Wager. References outside CS literature. Imbens and Rubin Causal Inference book (2015): synthesis of literature prior to big data/ML. Warm up. Share your picture with the people at your table group.. Make sure you have your Science notebook, agenda and a sharpened pencil. use tape to put it in front of your table of contents. Describe the difference between observations and inferences. Chapter 19 . Temporal models. 2. Goal. To track object state from frame to frame in a video. Difficulties:. Clutter (data association). One image may not be enough to fully define state. Relationship between frames may be complicated. A PRIORI . OR PLANNED CONTRASTS. ANOVA. ANOVA is used to compare means. . However, if a difference is detected, and more than two means are being compared, . ANOVA cannot tell you . where the difference lies.. Hikaru. . Tsujimura. and . Hsuan. -Chen Wu. Design . Matrix. . , . Contrasts. & . Inference. Motion. correction. Smoothing. kernel. Spatial. normalisation. Standard. template. fMRI. time-series. Adapted from Patrick J. Hurley, . A Concise Introduction to Logic. (Belmont: Thomson Wadsworth, 2008).. Predicate Logic. Before I go on to explain quantifiers, first let me address different ways of symbolizing statements. Previously, we used one letter to symbolize one statement. But there is another way to symbolize certain kinds of statements that are relevant to quantifiers. We can also symbolize statements by symbolizing the predicate and subject separately. .

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