Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Understanding Attention: In Minds and Machines   Attention is a complex and broad concept, studied across multiple disciplines
spanning artificial intelligence, cognitive science, psychology, neuroscience,
and related fields. Although many of the ideas regarding attention do not
significantly overlap among these fields, there is a common theme of adaptive
control of limited resources. In this work, we review the concept and variants
of attention in artificial neural networks (ANNs). We also discuss the origin
of attention from the neuroscience point of view parallel to that of ANNs.
Instead of having seemingly disconnected dialogues between varied disciplines,
we suggest grounding the ideas on common conceptual frameworks for a systematic
analysis of attention and towards possible unification of ideas in AI and
Neuroscience.

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The categories of this paper are: dg-ga
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The categories of this paper are: math-ph
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The categories of this paper are: stat
17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
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The categories of this paper are: eess
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The categories of this paper are: econ
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
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The categories of this paper are: solv-int
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The categories of this paper are: plasm-ph