Temporal dynamics of information content carried by neurons in the
primary visual cortex
D. Nikolic, S. Haeusler, W. Singer, and W. Maass
We use multi-electrode recordings from cat primary visual cortex and
investigate whether a simple linear classifier ca n extract information about
the presented stimuli. We find that information is extractable and that it
even las ts for several hundred milliseconds after the stimulus has b een
removed. In a fast sequence of stimulus presentation, information about both
new and old stimuli is present simultaneously and nonlinear relations between
these stimuli can be extracted. These results suggest nonlinear properties of
cortical representat ions. The implications of these properties for the
nonlinear brain theory are discussed.
Reference: D. Nikolic, S. Haeusler, W. Singer, and W. Maass.
Temporal dynamics of information content carried by neurons in the primary
In Proc. of NIPS 2006, Advances in Neural Information Processing
Systems, volume 19, pages 1041-1048. MIT Press, 2007.