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Perceptual load theory is a psychological theory of attention.It was presented by Nilli Lavie in the mid-nineties as a potential resolution to the early/late selection debate.
To explain the process of perception, an example could be an ordinary shoe. The shoe itself is the distal stimulus. When light from the shoe enters a person's eye and stimulates the retina, that stimulation is the proximal stimulus. [9] The image of the shoe reconstructed by the brain of the person is the percept.
Voluntary attention, otherwise known as top-down attention, is the aspect over which we have control, enabling us to act in a goal-directed manner. [14] In contrast, reflexive attention is driven by exogenous stimuli redirecting our current focus of attention to a new stimulus, thus it is a bottom-up influence. These two divisions of attention ...
Feature integration theory is a theory of attention developed in 1980 by Anne Treisman and Garry Gelade that suggests that when perceiving a stimulus, features are "registered early, automatically, and in parallel, while objects are identified separately" and at a later stage in processing.
[1]: 1 A classic example of a cuing study undertaken to evaluate object-based attention was that of Egly, Driver, and Rafal. [6] Their results demonstrated that it was quicker to detect a target that was located on a cued object than it was to locate the target when it was the same distance away, but on an uncued object.
In 1980, Treisman and Gelade published their seminal paper on Feature Integration Theory (FIT). [15] One key element of FIT is that early stages of object perception encode features such as color, form, and orientation as separate entities; focused attention combines these distinct features into perceived objects.
Perceptual learning is a more in-depth relationship between experience and perception. Different perceptions of the same sensory input may arise in individuals with different experiences or training. This leads to important issues about the ontology of sensory experience, the relationship between cognition and perception. An example of this is ...
The paper introduced a new deep learning architecture known as the transformer, based on the attention mechanism proposed in 2014 by Bahdanau et al. [4] It is considered a foundational [5] paper in modern artificial intelligence, as the transformer approach has become the main architecture of large language models like those based on GPT.