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philsci-archive.pitt.edu
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Access date: 2019-02-13 14:27:01.869555
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1 Abstract
How much does stimulus input shape perception? The common
-sense view is that our
perceptions are representations of objects and their features and that the stimulus structures the
perceptual object. The problem for this view concerns perceptual biases as r
esponsible for
distortions and the subjectivity of perceptual experience. These biases are increasingly studied as
constitutive factors of brain processes in recent neuroscience. In neural network models the brain
is said to cope with the plethora of senso
ry information by predicting stimulus regularities on
the
basis of
previous experiences. Drawing on this development, this chapter analy
ses perceptions as
processes. Looking at olfaction as a model system, it argues for the need to abandon a stimulus
-centr
ed perspective
, where smells are thought of as stable percepts
, computationally linked to
external objects such as odorous molecules. Perception here is presented as a measure of
changing signal ratios in
an
environment informed by expectancy effects from
top
-down
processes.
Keywords
anticipation;
computationalism;
forecasting; neural networks;
neuroscience;
olfaction; perceptual
bias
; predictive coding; smell
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