Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Boundary solution based on rescaling method: recoup the first and
  second-order statistics of neuron network dynamics   There is a strong nexus between the network size and the computational
resources available, which may impede a neuroscience study. In the meantime,
rescaling the network while maintaining its behavior is not a trivial mission.
Additionally, modeling patterns of connections under topographic organization
presents an extra challenge: to solve the network boundaries or mingled with an
unwished behavior. This behavior, for example, could be an inset oscillation
due to the torus solution; or a blend with/of unbalanced neurons due to a lack
(or overdose) of connections. We detail the network rescaling method able to
sustain behavior statistical utilized in Romaro et al. (2018) and present a
boundary solution method based on the previous statistics recoup idea.

29
The categories of this paper are: funct-an
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
19
The categories of this paper are: eess
16
The categories of this paper are: stat
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
11
The categories of this paper are: hep-lat
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
3
The categories of this paper are: physics
28
The categories of this paper are: alg-geom
27
The categories of this paper are: comp-gas