Spontaneous firing in neural nets can be processed and interpreted as patterns of behavior. Such patterns can be learned through learning mechanisms present in synapses. This implies that behavioral patterns can form without a stimulus if the spontaneous firing rates in a neural net are sufficiently high.
EcclesJ. C.The understanding of the brain. New York: McGraw-Hill, 1973.
5.
GrinvaldA.SalzbergB. M.CohenL. B.Simultaneous recording from several neurones in an invertebrate central nervous system. Nature, 1977, 268, 140–141.
6.
HubelD. H.WieselT. N.Receptive fields, binocular interaction and functional architecture of the cat's visual cortex. J. Physiol, 1962, 160, 106–154.
7.
KandelE. R.Small systems of neurons. Scient. Amer., 1979, 241, 60–68.
8.
LevickW. R.WilliamsW. O.Maintained activity of lateral geniculate neurons in darkness. J. Physiol, 1964, 170, 582–597.
9.
MooreG. P.Bioengineering techniques for the nervous system. In BrownJ. H. U.JacobsJ. E.StarkI. (Eds.), Biomedical engineering. Philadelphia: Davis, 1971. Pp. 97–121.
10.
PenfieldW.The mystery of the mind. Princeton, NJ: Princeton Univer. Press, 1975.
11.
PerkelD. H.A computer program for simulating a network of interacting neurons. Computers biomed. Res., 1976, 9, 31–74.
12.
ReichardtW.Über das optische Auflosungsvermogen der Facettenaugen von Limulus. Kybernetik, 1961, 1, 57–69.
13.
SmithD. R.SmithG. K.A statistical analysis of the continual activity of single cortical neurons in the cat unaneschetized forebrain. Biophys. J., 1965, 5, 47–74.
14.
TaylorJ. G.Spontaneous behaviour in neural networks. J. theor. Biol., 1972, 36, 513–528.
15.
TaylorJ. G.Neural networks and the brain. In ConradM.GuttingerW.Dal CinM. (Eds.), Physics and mathematics of the nervous system. Lecture notes in biomathematics. Vol. 4. Berlin: Springer-Verlag, 1974. Pp. 230–253.
16.
WittieL. D.Large network models using the brain organisation simulation system. Simulation, 1978, 31, 117–122.