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This commit is contained in:
Jan Benda
2015-11-03 12:53:42 +01:00
parent cdd40dc3a7
commit b35365232d
3 changed files with 39 additions and 13 deletions
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22
projects/project_fano_slope/fano_slope.tex
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@@ -84,7 +84,7 @@ spikes = lifboltzmanspikes( trials, input, tmax, Dnoise, imax, ithresh, slope );
Think of calling the \texttt{lifboltzmanspikes()} function as a
simple way of doing an electrophysiological experiment. You are
presenting a stimulus of constant intensity $I$ that you set. The
presenting a stimulus with a constant intensity $I$ that you set. The
neuron responds to this stimulus, and you record this
response. After detecting the timepoints of the spikes in your
recordings you get what the \texttt{lifboltzmanspikes()} function
@@ -101,20 +101,22 @@ spikes = lifboltzmanspikes( trials, input, tmax, Dnoise, imax, ithresh, slope );
differrent stimuli.
\part Measure the tuning curve of the neuron with respect to the
input. That is, compute the mean firing rate (number of spikes within the recording time \texttt{tmax} divided by \texttt{tmax}) as a function of the
input strength. Find an appropriate range of input values. Do
this for different values of the \texttt{slope} parameter (values
between 0.1 and 2.0).
input. That is, compute the mean firing rate (number of spikes
within the recording time \texttt{tmax} divided by \texttt{tmax}
and averaged over trials) as a function of the input
strength. Find an appropriate range of input values. Do this for
different values of the \texttt{slope} parameter (values between
0.1 and 2.0).
\part Generate histograms of the spike counts within $W=200$\,ms
of the responses to the two differrent stimuli $I_1$ and
$I_2$. How do they depend on the slope of the tuning curve of the
neuron?
\part For the two differrent stimuli $I_1$ and $I_2$ generate
histograms of the spike counts of the evoked responses within all
windows of $W=200$\,ms width. How do the histograms of the spike
counts depend on the slope of the tuning curve of the neuron?
\part Think about a measure based on the spike count histograms
that quantifies how well the two stimuli can be distinguished
based on the spike counts. Plot the dependence of this measure as
a function of the observation time $W$.
a function of the observation time $W$ (width of the windows).
For which slopes can the two stimuli be well discriminated?