Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Balanced Information Storage and Transfer in Modular Spiking Neural
  Networks   While information processing in complex systems can be described in abstract,
general terms, there are cases in which the relation between these computations
and the physical substrate of the underlying system is itself of interest.
Prominently, the brain is one such case. With the aim of relating information
and dynamics in biological neural systems, we study a model network of spiking
neurons with different coupling configurations, and explore the relation
between its informational, dynamical, and topological properties. We find that
information transfer and storage peak at two separate points for different
values of the coupling parameter, and are balanced at an intermediate point. In
this configuration, avalanches in the network follow a long-tailed, power
law-like distribution. Furthermore, the avalanche statistics at this point
reproduce empirical findings in the biological brain.

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The categories of this paper are: atom-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: q-alg
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The categories of this paper are: acc-phys
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The categories of this paper are: solv-int
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The categories of this paper are: math-ph
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The categories of this paper are: q-fin
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The categories of this paper are: supr-con
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The categories of this paper are: hep-th
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The categories of this paper are: astro-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: nlin
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The categories of this paper are: eess
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The categories of this paper are: comp-gas
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The categories of this paper are: dg-ga