Signal Transforms in the Early Visual System
A half-century of in vivo electrophysiological recordings indicate that neurons in many areas of the CNS, including the visual system, become sensitive to increasingly specific characteristics of external cues as stimulus-evoked signals propagate centrally. However, recent studies provide evidence for neurons early in the visual pathway with highly selective receptive field properties, suggesting that the early representation of the visual scene is perhaps more elaborate than established models suggest. These new findings emphasize the need for a better understanding of the functional and anatomical organization of circuits throughout the visual pathway: (1) Which neurons comprise the circuit and how are they connected? (2) How do these neurons process and convey information to a subsequent synapse(s)? (3) How are signals transformed throughout multiple stages of processing?
Registration for this conference is closed.
Organizers
Felice Dunn, University of California, San Francisco
Martin Meyer, King's College London
Gabe Murphy, Janelia Research Campus/HHMI
Invited Participants
Johann Bollmann, Max Planck Institute for Medical Research
David Brainard, University of Pennsylvania
Kevin Briggman, National Institute of Neurological Disorders and Stroke/NIH
Jianhua Cang, Northwestern University
Gwyneth Card, Janelia Research Campus/HHMI
E.J. Chichilnisky, Stanford University
Marlene Cohen, University of Pittsburgh
Lindsey Glickfeld, Duke University
Tim Gollisch, University Medical Center Göttingen
Judith Hirsch, University of Southern California
Greg Horwitz, University of Washington
Andrew Huberman, University of California, San Diego
Richard Krauzlis, National Eye Institute/NIH
Wei Li, National Eye Institute/NIH
Thomas Mrsic-Flogel, University of Basel
Cristopher Niell, University of Oregon
Michael Orger, Champalimaud Neuroscience Programme
Nicholas Priebe, University of Texas at Austin
Tatyana Sharpee, Salk Institute
Eric Shea-Brown, University of Washington
Eero Simoncelli, HHMI/New York University
Rachel Wong, University of Washington