Scottish Dementia Research Consortium Annual Conference 2021 Jun 16, 2021 10:00 AM - 03:30 PM — Virtual Meeting (online)
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eLearning

SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists.


Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

Flies and humans share a motion estimation strategy that exploits natural scene statistics

Author(s): Damon A. Clark, James E. Fitzgerald, Justin M. Ales, Daryl M. Gohl, Marion A. Silies, Anthony M. Norcia, Thomas R. Clandinin

Abstract:
Sighted animals extract motion information from visual scenes by processing spatiotemporal patterns of light falling on the retina. The dominant models for motion estimation exploit intensity correlations only between pairs of points in space and time. Moving natural scenes, however, contain more complex correlations. We found that fly and human visual systems encode the combined direction and contrast polarity of moving edges using triple correlations that enhance motion estimation in natural environments. Both species extracted triple correlations with neural substrates tuned for light or dark edges, and sensitivity to specific triple correlations was retained even as light and dark edge motion signals were combined. Thus, both species separately process light and dark image contrasts to capture motion signatures that can improve estimation accuracy. This convergence argues that statistical structures in natural scenes have greatly affected visual processing, driving a common computational strategy over 500 million years of evolution.

Full version: Available here

Click the link to go to an external website with the full version of the paper


ISBN: 1097-6256
Publication Year: 2014
Periodical: Nat Neurosci
Periodical Number: 2
Volume: 17
Pages: 296-303
Author Address: