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The attention network was designed to identify high correlations patterns amongst words in a given sentence, assuming that it has learned word correlation patterns from the training data. This correlation is captured as neuronal weights learned during training with backpropagation .
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 ...
Attention is best described as the sustained focus of cognitive resources on information while filtering or ignoring extraneous information. Attention is a very basic function that often is a precursor to all other neurological/cognitive functions. As is frequently the case, clinical models of attention differ from investigation models.
A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable information about preceding tokens.
Selective attention theories are aimed at explaining why and how individuals tend to process only certain parts of the world surrounding them, while ignoring others. Given that sensory information is constantly besieging us from the five sensory modalities, it was of interest to not only pinpoint where selection of attention took place, but also explain how people prioritize and process ...
As an illustrative example, consider the sentence "my dog is cute". It would first be divided into tokens like "my 1 dog 2 is 3 cute 4". Then a random token in the sentence would be picked. Let it be the 4th one "cute 4". Next, there would be three possibilities: with probability 80%, the chosen token is masked, resulting in "my 1 dog 2 is 3 ...
In Japanese, a holophrastic or single-word sentence is meant to carry the least amount of information as syntactically possible, while intonation becomes the primary carrier of meaning. [16] For example, a person saying the Japanese word e.g. "はい" (/haɪ/) = 'yes' on a high level pitch would command attention.
For example, pre-attentive processing is slowed by sleep deprivation while attention, although less focused, is not slowed. [6] Furthermore, when searching for a particular visual stimulus among a variety of visual distractions, people often have more trouble finding what they are looking for if one or more of the distractions is particularly ...