Jack Cowan Mathematics Department, Neurology Department, Committee on Computational Neuroscience, University of Chicago, USA
|
|
Friday 20 May
2005
|
|
** 14:00 ** | |
B10 Seminar Room Alexandra House, 17 Queen Square, LONDON, WC1N 3AR |
|
Statistical Neural Field Theory
|
|
In 1972, 1973 Wilson and Cowan introduced a mathematical
model for the population dynamics of nets of interacting neurons, based on a
mean field description of the activity. In 1978 Cowan (unpublished)
showed that such a mean field can be derived from a master equation, and in
1991 that such a master equation can be conveniently represented in terms of
the annihilation and creation operators of a quantum field theory. In
effect, neural nets can be represented in terms of quantum spins. The
resulting theory (Ohira & Cowan 1993) proved difficult to calculate.
Recently Buice & Cowan (in preparation) have found a more tractable way to
represent such quantum spins, and to calculate (perturbatively) the effects
of fluctuations and correlations in such nets beyond the range of mean field
theory. A short account of this will be given.
|