Insect-based visual motion detection with contrast adaptation

Patrick A. Shoemaker; David C. O'Carroll

doi:10.1117/12.609470

31 May 2005 Insect-based visual motion detection with contrast adaptation

Patrick A. Shoemaker, David C. O'Carroll

Proceedings Volume 5783, Infrared Technology and Applications XXXI; (2005) https://doi.org/10.1117/12.609470
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

The visual pathway that leads from the retina to the tangential cells in the third optical ganglion of the fly is a sophisticated system for the detection of visual motion. The tangential cells, whose responses are thought to characterize the state of egomotion of the animal, show a remarkable ability to encode velocity information about optic flow patterns to which they are sensitive, independent of the structure and contrast of viewed scenery. We describe a simulation study based on a model that accounts for key physiological features observed in the biological system, which contains nonlinear features that we expect to contribute to this capability. One of these features is motion adaptation, a phenomenon on which recent research has shed new light. We conclude that our models significantly reduce dependence of response on variable natural scenery, although they still do not perform as well in this respect as the biological neurons. This biological system has inspired an implementation of visual motion processing in analog VLSI technology. The neuromorphic circuits are intended for eventual on- or near-focal plane integration with photosensing. We describe the design approach and present results from preliminary versions of these circuits.

Citation Download Citation

Patrick A. Shoemaker and David C. O'Carroll "Insect-based visual motion detection with contrast adaptation", Proc. SPIE 5783, Infrared Technology and Applications XXXI, (31 May 2005); https://doi.org/10.1117/12.609470

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available