Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Dynamics of Random Neural Networks with Bistable Units   We construct and analyze a rate-based neural network model in which
self-interacting units represent clusters of neurons with strong local
connectivity and random inter-unit connections reflect long-range interactions.
When sufficiently strong, the self-interactions make the individual units
bistable. Simulation results, mean-field calculations and stability analysis
reveal the different dynamic regimes of this network and identify the locations
in parameter space of its phase transitions. We identify an interesting
dynamical regime exhibiting transient but long-lived chaotic activity that
combines features of chaotic and multiple fixed-point attractors.

24
The categories of this paper are: dg-ga
28
The categories of this paper are: alg-geom
1
The categories of this paper are: cs
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
22
The categories of this paper are: chao-dyn
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The categories of this paper are: bayes-an
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The categories of this paper are: hep-lat
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys
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The categories of this paper are: hep-th
30
The categories of this paper are: q-alg
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph