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many facets of the model are similar to facets of the models discussed in Chapter
6, but facets of several different models are brought together.
This chapter is devoted to a summarised development of the model and its
application to various simple visual threshold situations discussed in the
preceding chapters. Its applicability to more complex viewing situations will be
discussed in Chapters 8, 9, 12 and 13. It should be noted that, although the
reader is referred to previous publications for detail information on model
development, certain data contained in these previous publications are now
believed to be in error. In such cases the information believed to be erroneous is
superceded by data contained herein. It should also be stressed at this point that,
whilst this model is believed to be compatible with the general form of neural
network in the retina, it does not purport to explain all the detailed workings of
the neural networks either at the retina or in the cortex, but only to provide
what might be termed an overall information transfer function between retinal
images and the decision making part of the brain. Should the reader be
interested in pursuing the detailed workings of the neural networks he is referred
to Pirenne, Polyak, Alpern, Brindley, Cornsweet and Walter as a
start to an appreciation of the probable detailed workings of the eye and brain.
Such studies are not, however, considered by the author to help very much with
general appreciation of threshold behaviour. Rather, from the author’s own
experience, they tend to cloud the issue with excessive detail.
7.1 Basic concepts
7.2 The basic foveal model
7.3 The effects of time presentation
7.4 The effects of scene luminance
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