Studied the dynamics of learning or developing in a neural network
when two kinds of dynamic processes take place --- the change with
time of the activity of each neuron and the change in strength of
the connections (synapses) between neurons. Developed a Lyapunov
function to help understand the combined activity and synapse
dynamics for a class of such adaptive networks, particularly,
feedback networks. Illustrated the methods and viewpoint by using
them to describe the development of columnar structure of
orientation selective cells in primary visual cortex. Proposed a
biologically plausible model in which the columnar structure
originates from symmetry breaking in feedback pathways within an
area of cortex, rather than feedforward pathways between areas.
^{Dong D W 1991}
{Dynamic properties of neural network with adapting synapses}
{Proc International Joint Conference on Neural Networks, Seattle}
{ Vol~2 pp~255-260}
^{Dong D W and Hopfield J J 1992}
{Dynamics of interconnection development within visual cortex}
{Proc International Joint Conference on Neural Networks, Baltimore}
{ Vol~3 pp~85-90}
^{Dong D W and Hopfield J J 1992}
{Dynamic properties of neural networks with adapting synapses}
{Network: Computation in Neural Systems}{ Vol 3(3) pp 267--283}
Proposed a local and associative learning rule, in networks with
feedback connections, which dynamically decorrelates the network
inputs. Applied this dynamics to model both the long term
development and the short term adaptation of orientation selective
cells in visual cortex. Examined the implication of the hypothesis
that the intracortical connections dynamically decorrelate
activities of orientation selective cells. Showed that this
decorrelation dynamics leads to quantitative predictions of
orientation contrast and orientation adaptation which are in good
agreement with various psychophysical and neurophysiological
experiments.
^{Dong D W 1992}
{Hebbian learning in feedback networks: development within visual cortex}
{Computation and Neural Systems
Eeckman F H and Bower J M (Eds), Kluwer, Boston, MA}{ pp~383-388}
^{Dong D W 1993}
{Anti-Hebbian dynamics and total recall of associative memory}
{Proc World Congress on Neural Networks, Portland}{ Vol~2 pp~275-279}
^{Dong D W 1994}
{Associative decorrelation dynamics: a theory of
self-organization and optimization in feedback networks}
{In: Advances in Neural Information Processing Systems 7
(Tesauro G, Touretzky DS, Leen TK, eds) MIT Press, Cambridge, MA}
{pp~925-932}
Send comments to Dawei Dong: dawei@dove.ccs.fau.edu