Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: How much baseline correction do we need in ERP research? Extended GLM
  model can replace baseline correction while lifting its limits   Baseline correction plays an important role in past and current
methodological debates in ERP research (e.g. the Tanner v. Maess debate in
Journal of Neuroscience Methods), serving as a potential alternative to strong
highpass filtering. However, the very assumptions that underlie traditional
baseline also undermine it, making it statistically unnecessary and even
undesirable and reducing signal-to-noise ratio. Including the baseline interval
as a predictor in a GLM-based statistical approach allows the data to determine
how much baseline correction is needed, including both full traditional and no
baseline correction as subcases, while reducing the amount of variance in the
residual error term and thus potentially increasing statistical power.

4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
17
The categories of this paper are: q-fin
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
5
The categories of this paper are: gr-qc
24
The categories of this paper are: dg-ga
37
The categories of this paper are: supr-con
28
The categories of this paper are: alg-geom
33
The categories of this paper are: plasm-ph