To examine a possible biological mechanism for a cognitive timer, the stochastic dynamics of a network of neurons possessing two stable states ("on" and "off" states) is studied. The fraction of on neurons existing at t = 0 remains large for an extended interval, and then abruptly falls. The distribution of the lengths of the interval is scale invariant in the following sense: The ratio (k root of (mu(k))/m, with m and mu(k) being the mean and the kth central moment, respectively, is invariant under scale transformations of m and mu(k). In the special case k = 2, this gives Weber's law, a hallmark of cognitive timing.
[1]
D. Sherrington.
Stochastic Processes in Physics and Chemistry
,
1983
.
[2]
V. A. JULIUS,et al.
On Time
,
1877,
Nature.
[3]
N. Kampen,et al.
Stochastic processes in physics and chemistry
,
1981
.
[4]
J. Gibbon,et al.
Timing and time perception.
,
1984,
Annals of the New York Academy of Sciences.
[5]
M. Alexander,et al.
Principles of Neural Science
,
1981
.