Kenneth Andrew Norman - Department of Psychology - Princeton ...

Kenneth Norman August 24, 2013 page 15 of 18
Society, Chapel Hill, NC, October, 2009
Member, Computational Cognitive Neuroscience Conference organizing committee, January
2008 – present
Member, Context and Episodic Memory Symposium organizing committee, October 2008 –
present
Panelist, NIH special emphasis grant review panels BBBP-E (January 2011), BBBP-E (November
2010), BBBP-D (June 2009), BBBP-L (March 2009)
Member, NIH ZRG1 F02A (20) study section (Neuroscience predoctoral & postdoctoral
fellowships), March 2004 – June 2004
Co-organizer (with Michael Kahana), Second Annual Episodic Memory Symposium, New
Orleans, LA, November 2003
Co-organizer (with Michael Kahana), First Annual Episodic Memory Symposium, Orlando, FL,
November 2002
Consultant on NIH R01 grant, Tim Curran PI, “ERP studies of dual processes in human
recognition memory”, January 2002 – December 2006
Co-organizer (with Ken Malmberg), Symposium on New Approaches to Dual-Process Models of
Recognition, Annual Interdisciplinary Conference, Jackson, WY, January 2001
Teaching
Spring 2004-05, Fall 2005-06, Fall 2007-08, Spring 2009-10, Fall 2011-12: PSY 306, “Memory
and Cognition”
This course provides an integrative treatment of learning and memory in humans and animals.
We explore working memory (our ability to actively maintain thoughts in the face of distraction)
and episodic memory (our ability to rapidly memorize specific details so we can recall them later),
as well as more incremental forms of learning. In studying these topics, we consider the
behavioral paradigms used to extract learning and memory data, as well as techniques from
cognitive neuroscience (e.g., neuroimaging, lesion studies, computational modeling) that shed
light on how the brain gives rise to learning and memory.
Fall 2003-04: FRS 165, “Memory Distortion and Forgetting”
This freshman seminar course provides an introduction to the neural basis of memory, and then
applies this knowledge to the (closely related) problems of why we fail to remember things that
happened and why we sometimes remember things that did not happen.
Spring 2002-03, Spring 2003-04, Spring 2005-06, Spring 2007-08, Spring 2008-09, Spring 2011-
12: PSY 330, “Introduction to Connectionist Models: Bridging Between Brain and Mind”
This course provides an introduction to the use of connectionist models (also known as neural
network or parallel distributed processing models) as a tool for exploring how psychological
functions are implemented in the brain. The goal of this course is to give students the theoretical
background and practical skills that they will need to pursue further independent research in
computational modeling of cognition.