Studied and gained an intuitive understanding of how the existent
circuitry is responsible for establishing orientation tuning based
on detailed computer simulations of the early visual system in the
cat, extending from the retina to the cortex. Showed that the
simulation is in agreementment with experimental data. Also Studied
the possible role of the lateral interaction between cortical cells
in orientation selectivity by using a Hopfield type of network
simulation. The model explained how orientation selectivity could
be sharpened by or arise from inhibition between cells in visual
cortex.
^{Dong D W and Koch C 1988}
{Inhibitory model of orientation selectivity}
{Posted at International Conference on Neural Networks, San Diego}{}
^{Wehmeier U, Dong D W, Koch C and Van Essen D 1989}
{Modeling the mammalian visual system}
{Methods in Neuronal Modeling: From Synapses to Networks
Koch C and Segev I (Eds), MIT Press, Cambridge, MA}{ pp 335--360}
We investigate if well-known LGN ion channel properties can
facilitate information-theoretic optimal coding through temporal
decorrelation; and if so, whether the degree of temporal
decorrelation can be adapted dynamically to ensure such optimization
at longer time scales. Significant temporal decorrelation for time
lags above $50$ ms is achievable in a LGN cell model with inputs
generated from natural visual stimuli. Dynamic decorrelation is
obtainable through adaptive temporal filtering by varying the
resting membrane potential. We conclude that the biophysical
properties of LGN cells support the role of temporal decorrelation
and enable a plausible feedback control mechanism that dynamically
adapt to changes in input statistics.
^{Truccolo W A and Dong D W: 2001}
{Dynamic temporal decorrelation: an information-theoretic and
biophysical model of the functional role of lateral geniculate nucleus}
{Neurocomputing}{ Vol~38-40, pp~993-1001}
Send comments to Dawei Dong: dawei@dove.ccs.fau.edu