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. Author manuscript; available in PMC: 2009 Apr 1.
Published in final edited form as: J Neurosci. 2008 Oct 1;28(40):10045–10055. doi: 10.1523/JNEUROSCI.2142-08.2008

Figure 2.

Figure 2

Selectivity of the entire population of IT neurons among the “restricted experience” objects. a) Each point shows the selectivity of a single IT neuron measured at both the trained position (ordinate) and the non-trained position (abscissa). Selectivity was computed using a standard index that takes into account all the response data for these objects collected at each position (F ratio; see Methods). The gray region highlights the fact that many IT neurons that had little or no selectivity among these objects (see Results). b) Driven responses of an IT neuron (indicated by letter “A” in panel a) that showed selectivity at the trained position (+2 deg for this monkey), but little selectivity at the non-trained position (−2 deg). Each line shows the average post-stimulus spiking response to each object (presented at time 0 for 100 ms duration, see Fig. 1b; a 100 ms sliding boxcar is applied to the binned spike counts). Object identity is indicated by color (and the numbers refer to the object identity numbers shown in Figure 1a). Gray boxes indicate the standard time window used for all analyses (see Methods). b) Data from eight example neurons (indicated by letters in panel a). Each plot shows the mean response of one neuron to each of the four objects presented in each position (filled bars = trained position; open bars = non-trained position). Dashed line is mean firing rate in the 100 ms window on each trial just before stimuli were presented. For clarity, in each plot, object identity is rank-ordered according to the response in the trained position (different neurons generally prefer different objects, not shown here), and the same object identity order is used for the non-trained position.