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[projects] fixed noiseficurves

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Jan Benda
2021-01-31 21:29:46 +01:00
parent d6b0eba65a
commit 18dc6c0002
3 changed files with 66 additions and 56 deletions
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10
projects/project_noiseficurves/noiseficurves.tex
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@@ -2,7 +2,7 @@
\newcommand{\ptitle}{Neural tuning and noise}
\input{../header.tex}
\firstpagefooter{Supervisor: Jan Benda}{phone: 29 74573}%
\firstpagefooter{Supervisor: Jan Benda}{}%
{email: jan.benda@uni-tuebingen.de}
\begin{document}
@@ -15,7 +15,7 @@ $I$ (think of that, for example, as a current $I$ injected via a
patch-electrode into the neuron).
We first characterize the neurons by their tuning curves (also called
intensity-response curve). That is, what is the mean firing rate of
intensity-response curves). That is, what is the mean firing rate of
the neuron's response as a function of the constant input current $I$?
In the second part we demonstrate how intrinsic noise can be useful
@@ -83,9 +83,9 @@ from different neurons with different noise properties by setting the
\question Subthreshold stochastic resonance
Let's now use as an input to the neuron a 1\,s long sine wave $I(t)
= I_0 + A \sin(2\pi f t)$ with offset current $I_0$, amplitude $A$,
and frequency $f$. Set $I_0=5$, $A=4$, and $f=5$\,Hz.
Let's now use a 1\,s long sine wave $I(t) = I_0 + A \sin(2\pi f t)$
with offset current $I_0$, amplitude $A$, and frequency $f$. Set
$I_0=5$, $A=4$, and $f=5$\,Hz as an input to the neuron.
\begin{parts}
\part Do you get a response of the noiseless ($D_{noise}=0$) neuron?