Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Neural networks with transient state dynamics   We investigate dynamical systems characterized by a time series of distinct
semi-stable activity patterns, as they are observed in cortical neural activity
patterns. We propose and discuss a general mechanism allowing for an adiabatic
continuation between attractor networks and a specific adjoined transient-state
network, which is strictly dissipative. Dynamical systems with transient states
retain functionality when their working point is autoregulated; avoiding
prolonged periods of stasis or drifting into a regime of rapid fluctuations. We
show, within a continuous-time neural network model, that a single local
updating rule for online learning allows simultaneously (i) for information
storage via unsupervised Hebbian-type learning, (ii) for adaptive regulation of
the working point and (iii) for the suppression of runaway synaptic growth.
Simulation results are presented; the spontaneous breaking of time-reversal
symmetry and link symmetry are discussed.

1
The categories of this paper are: cs
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
36
The categories of this paper are: cmp-lg
25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
21
The categories of this paper are: adap-org
18
The categories of this paper are: econ
32
The categories of this paper are: atom-ph
27
The categories of this paper are: comp-gas
24
The categories of this paper are: dg-ga
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys