Lab Home | Phone | Search
Center for Nonlinear Studies  Center for Nonlinear Studies
 Home 
 People 
 Current 
 Affiliates 
 Alumni 
 Visitors 
 Students 
 Research 
 ICAM-LANL 
 Quantum 
 Publications 
 Publications 
 2007 
 2006 
 2005 
 2004 
 2003 
 2002 
 2001 
 2000 
 <1999 
 Conferences 
 Workshops 
 Sponsorship 
 Talks 
 Colloquia 
 Colloquia Archive 
 Seminars 
 Postdoc Seminars Archive 
 Quantum Lunch 
 CMS Colloquia 
 Q-Mat Seminars 
 Q-Mat Seminars Archive 
 Archive 
 Kac Lectures 
 Dist. Quant. Lecture 
 Ulam Scholar 
 Colloquia 
 
 Jobs 
 Students 
 Summer Research 
 Student Application 
 Visitors 
 Description 
 Past Visitors 
 Services 
 General 
 PD Travel Request 
 
 History of CNLS 
 
 Maps, Directions 
 CNLS Office 
 T-Division 
 LANL 
 
Monday, January 14, 2008
3:00 PM - 4:00 PM
CNLS Conference Room (TA-3, Bldg 1690)

Colloquium

Visual Computations and Visual Cortex

Steven Zucker
Dept. of Computer Science and Program in Applied Mathematics, Yale University

We seek to understand the principles underlying visual information processing as an abstraction in computational neuroscience. A theory of early computational vision, from boundary detection to color, shading and stereo, is sketched. The theory is geometrical. It is derived by identifying the columnar organization prevalent in primate neurobiology with the tangent bundle. We consider in particular how long-range horizontal connections relate to connection forms (curvatures). For example, edge elements are identified with a local approximation to tangents and curvature is necessary to introduce consistency between them. Local circuitry for these computations in primate V1 is described. The resultant models quantitatively predict the anatomy and physiology of long-range horizontal connections to second-order, and provide a foundation for inferences about perceptual surfaces. Steven W. Zucker Dept. of Computer Science and Program in Applied Mathematics Yale University New Haven, CT 06520-8285 steven.zucker@yale.edu

Host: Eddy Timmermans/T-CNLS