Upcoming seminars of potential interest at Columbia Monday, Jan. 28 12.10-1.30, Schermerhorn 200C (Psych Dept Cognitive Lunch)
Kevin Ochsner (Columbia)
“Understanding the role of control in emotion life”
Abstract: Some popular theories suggest that emotional processes and higher-level cognitive processes, such as those supporting self-control, are antagonists that compete for control over behavior, with the rise of one leading to the fall of the other. While such, 'seesaw', models can be useful, they fail to account for the full range interactions between affective and cognitive processes of which humans are capable - and on which they depend on a daily basis. Here I present an alternative account of their relationship, motivated by a mix of old-school appraisal theory and contemporary neuroscience data and theory, whereby top-down cognitive control mechanisms play an integral role in at least four aspects of our emotional lives: generating emotions, reporting on and understanding our own emotions, understanding the emotions of others, and regulating our emotions. This account suggests that cognitive and affective processes are intimately intertwined and provides a unifying foundation for understanding core functional relationships among multiple kinds of behavior and for asking new kinds of questions about them.
iCal (to add this event to your calendar) For more information on Psych Dept Cognitive Lunch:
http://www.columbia.edu/cu/psychology/news/areatalks/lunch.html 2.30-4.00, IAB (Economic Theory Workshop)
Benjamin Golub
"A Network Approach to Public Goods" (with Matthew Elliott)
http://www4.gsb.columbia.edu/filemgr?&file_id=7222529 iCal (to add this event to your calendar) For more information on Economic Theory Workshop:
http://www4.gsb.columbia.edu/finance/seminars/economictheory 2.40-4.00, Schermerhorn 200C (Psych Dept Social Snack)
Chris Crew (Columbia)
Title TBA
iCal (to add this event to your calendar) For more information on Psych Dept Social Snack:
http://www.columbia.edu/cu/psychology/news/areatalks/snack.html?mode=interactive&screen=view&dpRaGTbLww_save=true&dpRaGTbLww_comment=
Wednesday, Jan. 30 12.00-1.30, Know 509 (New Pathways for the Social Sciences Colloquium Series)
David Gibson (Princeton University)
Title TBA
iCal (to add this event to your calendar) For more information on New Pathways for the Social Sciences Colloquium Series:
http://sociology.columbia.edu/colloquium-series-new-pathways-social-sciences 4.10-5.30, Schermerhorn 614 (Psych Dept Colloquium)
Bruce McEwen (Rockefeller)
"Protective and Damaging Effects of Mediators of Stress and Adaptation: Central Role of the Brain"
http://www.rockefeller.edu/research/faculty/labheads/BruceMcEwen/ iCal (to add this event to your calendar) For more information on Psych Dept Colloquium:
http://www.columbia.edu/cu/psychology/lists/colloquia.html Thursday, Jan. 31 2.15-3.45, Uris 330 (Finance Seminar)
Job Market
iCal (to add this event to your calendar) For more information on Finance Seminar:
http://www4.gsb.columbia.edu/finance/seminars/finance Upcoming seminars of potential interest at NYU Monday, Jan. 28 12.30-1.30, CNS - Washington Square
Meyer Hall, Room 815
4-6 Washington Place
(NYU Neuroscience Colloquia)
Presenter: Gary Aston-Jones (MUSC))
iCal (to add this event to your calendar) For more information on the NYU Neuroscience Colloquia:
http://www.cns.nyu.edu/colloquia/ Tuesday, Jan. 29 2.30-4.00, Room 517, 19 West 4th St. (Neuroeconomics Seminar)
Presenter: Andrei Shleifer (Harvard)
"Salience and Consumer Choice "
http://www.neuroeconomics.nyu.edu/papers/Shleifer.pdf iCal (to add this event to your calendar) For more information on Neuroeconomics Seminar:
http://www.neuroeconomics.nyu.edu/events_neuroeconomics_seminar.html Weblink of the week Coursera’s Data Analysis with R course starts Jan 22Following on from Coursera's popular
course introducing the R language, a new course on data analysis with
R starts on January 22. The simply-titled
Data Analysis course will provide practically-oriented instruction on how to plan, carry out, and communicate analyses of real data sets with R
