Properties of artificial neurons that report lightness based on accumulated experience with luminance
The responses of visual neurons in experimental animals have been extensively characterized. To ask whether these responses are consistent with a wholly empirical concept of visual perception, we optimized simple neural networks that respond according to the cumulative frequency of occurrence of lo...
Main Authors: | Yaniv eMorgenstern, Dhara Venkata Rukmini, Brian B Monson, Dale ePurves |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2014-11-01
|
Series: | Frontiers in Computational Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00134/full |
Similar Items
-
Will understanding vision require a wholly empirical paradigm?
by: Dale ePurves, et al.
Published: (2015-07-01) -
Perception and Reality:Why a Wholly Empirical Paradigm is Needed to Understand Vision
by: Dale ePurves, et al.
Published: (2015-11-01) -
An Alternative Theory of Binocularity
by: Cherlyn J. Ng, et al.
Published: (2019-10-01) -
Are auditory percepts determined by experience?
by: Brian B Monson, et al.
Published: (2013-01-01) -
Calculating luminous flux and lighting levels for domesticated mammals and birds
by: J.E. Saunders, et al.
Published: (2008-01-01)