Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A simple spontaneously active Hebbian learning model: homeostasis of
  activity and connectivity, and consequences for learning and epileptogenesis   A spontaneously active neural system that is capable of continual learning
should also be capable of homeostasis of both firing rate and connectivity.
Experimental evidence suggests that both types of homeostasis exist, and that
connectivity is maintained at a state that is optimal for information
transmission and storage. This state is referred to as the critical state. We
present a simple stochastic computational Hebbian learning model that
incorporates both firing rate and critical homeostasis, and we explore its
stability and connectivity properties. We also examine the behavior of our
model with a simulated seizure and with simulated acute deafferentation. We
argue that a neural system that is more highly connected than the critical
state (i.e., one that is "supercritical") is epileptogenic. Based on our
simulations, we predict that the post-seizural and post-deafferentation states
should be supercritical and epileptogenic. Furthermore, interventions that
boost spontaneous activity should be protective against epileptogenesis.

23
The categories of this paper are: solv-int
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph
8
The categories of this paper are: hep-ex
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
18
The categories of this paper are: econ
28
The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
30
The categories of this paper are: q-alg