Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Where Is My Mind (looking at)? Predicting Visual Attention from Brain
  Activity   Visual attention estimation is an active field of research at the crossroads
of different disciplines: computer vision, artificial intelligence and
medicine. One of the most common approaches to estimate a saliency map
representing attention is based on the observed images. In this paper, we show
that visual attention can be retrieved from EEG acquisition. The results are
comparable to traditional predictions from observed images, which is of great
interest. For this purpose, a set of signals has been recorded and different
models have been developed to study the relationship between visual attention
and brain activity. The results are encouraging and comparable with other
approaches estimating attention with other modalities. The codes and dataset
considered in this paper have been made available at
\url{https://figshare.com/s/3e353bd1c621962888ad} to promote research in the
field.

16
The categories of this paper are: stat
24
The categories of this paper are: dg-ga
7
The categories of this paper are: hep-th
2
The categories of this paper are: math
23
The categories of this paper are: solv-int
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th
14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
37
The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
36
The categories of this paper are: cmp-lg