Et. Rolls et al., INFORMATION IN THE NEURONAL REPRESENTATION OF INDIVIDUAL STIMULI IN THE PRIMATE TEMPORAL VISUAL-CORTEX, Journal of computational neuroscience, 4(4), 1997, pp. 309-333
To analyze the information provided about individual visual stimuli in
the responses of single neurons in the primate temporal lobe visual c
ortex, neuronal responses to a set of 65 visual stimuli were recorded
in macaques performing a visual fixation task and analyzed using infor
mation theoretical measures. The population of neurons analyzed respon
ded primarily to faces. The stimuli included 23 faces and 42 nonface i
mages of real-world scenes, so that the function of this brain region
could be analyzed when it was processing relatively natural scenes. It
was found that for the majority of the neurons significant amounts of
information were reflected about which of several of the 23 faces had
been seen. Thus the representation was not local, for in a local repr
esentation almost all the information available can be obtained when t
he single stimulus to which the neuron responds best is shown. It is s
hown that the information available about any one stimulus depended on
how different (for example, how many standard deviations) the respons
e to that stimulus was from the average response to all stimuli. This
was the case for responses below the average response as well as above
. It is shown that the fraction of information carried by the low firi
ng Fates of a cell was large-much larger than that carried by the high
firing rates. Part of the reason for this is that the probability dis
tribution of different firing rates is biased toward low values (thoug
h with fewer very low values than would be predicted by an exponential
distribution). Another factor is that the variability of the response
is large at intermediate and high firing rates. Another finding is th
at at short sampling intervals (such as 20 ms) the neurons code inform
ation efficiently, by effectively acting as binary variables and behav
ing less noisily than would be expected of a Poisson process.