This indicates that there is less signal in them than commonly thought. From a practical perspective, parametric distributions are much more compact and robust. The extracted distribution parameters lent themselves
very well to linear regression, compressing the entire set of distributions to just two regression parameters each. This is much more effective data pooling than smoothing over neighboring contexts.
***
SLC-4, 27 January 2011
16h-17h30, room C3.108, Science Park 904
Theme: Recursion across cognitive domains
16h00-16h30 Talk by Katja Abramova (MSc Brain & Cognitive Science), "Recursive Processing across Domains"
16h30-17h30 Discussion / reading group
Papers:
Patel, A.D. (2012). Language, music, and the brain: A resource-sharing framework. In: P. Rebuschat, M. Rohrmeier, J. Hawkins, & I. Cross (Eds.), Language and Music as
Cognitive Systems (pp. 204-223). Oxford: Oxford University Press.
http://vesicle.nsi.edu/users/patel/Patel_2012_LMCS_chapter.pdf
Scheepers, C., Sturt, P., Martin, C., Myachykov, A., Teevan, K., and Viskupova, I. (in press) Structural priming across cognitive domains: From simple arithmetic to relative clause attachment. To appear in Psychological Science
http://pss.sagepub.com/content/early/2011/08/26/0956797611416997
(This is the work presented by Sturt at the workshop following Gideon's PhD defense)
(BTW: this meeting follows the independent event of the Music Group with a talk by Michiel Schuijer on Pitch-Class Set Theory and the Notion of Distance in Music at 2pm).