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Fabian Sinz
2014-11-03 11:55:53 +01:00
parent 57f727ecf4
commit 29b33fdf93
3 changed files with 12 additions and 14 deletions
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13
projects/project_fano_slope/fano_slope.tex
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@@ -103,13 +103,12 @@ spikes = lifboltzmanspikes( trials, input, tmax, Dnoise, imax, ithresh, slope );
For which slopes can the two stimuli be well discriminated?
\underline{Hint:} A possible readout is to set a threshold $n_{thresh}$ for
the observed spike count. Any response smaller than the threshold
assumes that the stimulus was $I_1$, any response larger than the
threshold assumes that the stimulus was $I_2$. What is the
probability that the stimulus was indeed $I_1$ or $I_2$,
respectively? Find the threshold $n_{thresh}$ that
results in the best discrimination performance.
\underline{Hint:} A possible readout is to set a threshold
$n_{thresh}$ for the observed spike count. Any response smaller
than the threshold assumes that the stimulus was $I_1$, any
response larger than the threshold assumes that the stimulus was
$I_2$. Find the threshold $n_{thresh}$ that results in the best
discrimination performance.
\part Also plot the Fano factor as a function of the slope. How is it related to the discriminability?