Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning with a network of competing synapses   Competition between synapses arises in some forms of correlation-based
plasticity. Here we propose a game theory-inspired model of synaptic
interactions whose dynamics is driven by competition between synapses in their
weak and strong states, which are characterized by different timescales. The
learning of inputs and memory are meaningfully definable in an effective
description of networked synaptic populations. We study, numerically and
analytically, the dynamic responses of the effective system to various signal
types, particularly with reference to an existing empirical motor adaptation
model. The dependence of the system-level behavior on the synaptic parameters,
and the signal strength, is brought out in a clear manner, thus illuminating
issues such as those of optimal performance, and the functional role of
multiple timescales.

26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
35
The categories of this paper are: mtrl-th
34
The categories of this paper are: chem-ph
6
The categories of this paper are: astro-ph
19
The categories of this paper are: eess
13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin