From 127521bf48eb504e391086ef22e25ae20bb21737 Mon Sep 17 00:00:00 2001
From: Jan Grewe <jan.grewe@g-node.org>
Date: Sun, 13 Jan 2019 11:49:31 +0100
Subject: [PATCH] [project_fi] better text

---
 projects/project_ficurves/ficurves.tex | 56 +++++++++++++-------------
 1 file changed, 29 insertions(+), 27 deletions(-)

diff --git a/projects/project_ficurves/ficurves.tex b/projects/project_ficurves/ficurves.tex
index 7bfba31..b3bad65 100644
--- a/projects/project_ficurves/ficurves.tex
+++ b/projects/project_ficurves/ficurves.tex
@@ -11,33 +11,37 @@
 
 
 %%%%%%%%%%%%%% Questions %%%%%%%%%%%%%%%%%%%%%%%%%
-\section{Quantifying the responsiveness of a neuron by its F-I curves}
+\section{Quantifying the responsiveness of a neuron using the F-I curve}
 The responsiveness of a neuron is often quantified using an F-I
 curve. The F-I curve plots the \textbf{F}iring rate of the neuron as a
 function of the stimulus \textbf{I}ntensity.
 
+ In the accompanying datasets you find the \textit{spike\_times} of an
+ P-unit electroreceptor of the weakly electric fish
+ \textit{Apteronotus leptorhynchus} to a stimulus of a certain
+ intensity, i.e. the \textit{contrast}. The spike times are given in
+ milliseconds relative to the stimulus onset.
+
 \begin{questions}
-  \question In the accompanying datasets you find the
-  \textit{spike\_times} of an P-unit electroreceptor of the weakly
-  electric fish \textit{Apteronotus leptorhynchus} to a stimulus of a
-  certain intensity, i.e. the \textit{contrast}. The spike times are
-  given in milliseconds relative to the stimulus onset.
+  \question{Estimate the FI-curce for the onset and the steady state response.}
   \begin{parts}
-    \part For each stimulus intensity estimate the average response
+    \part Estimate for each stimulus intensity the average response
     (PSTH) and plot it. You will see that there are three parts.  (i)
     The first 200\,ms is the baseline (no stimulus) activity. (ii)
     During the next 1000\,ms the stimulus was switched on. (iii) After
     stimulus offset the neuronal activity was recorded for further
     825\,ms.
 
-    \part Extract the neuron's activity for every 50\,ms after
-    stimulus onset and for one 50\,ms slice before stimulus onset.
+    \part Extract the neuron's activity in a 50\,ms time window immediately
+    after stimulus onset (onset response) and 50\,ms before stimulus offset (steady state response).
 
-    For each time slice plot the resulting F-I curve by plotting the
+    For each plot the resulting F-I curve by plotting the
     computed firing rates against the corresponding stimulus
     intensity, respectively the contrast.
 
-    \part Fit a Boltzmann function to each of the F-I-curves. The
+  \end{parts}
+
+  \question{} Fit a Boltzmann function to each of the F-I-curves. The
     Boltzmann function is a sigmoidal function and is defined as
     \begin{equation}
        f(x) = \frac{\alpha-\beta}{1+e^{-k(x-x_0)}}+\beta \; .
@@ -47,26 +51,24 @@ function of the stimulus \textbf{I}ntensity.
     position of the sigmoid, and $k$ (together with $\alpha-\beta$)
     sets the slope.
 
-    Before you do the fitting, familiarize yourself with the four
-    parameter of the Boltzmann function. What is its value for very
-    large or very small stimulus intensities? How does the Boltzmann
-    function change if you change either of the parameter?
-
-    How could you get good initial estimates for the parameter?
-
-    Do the fits and show the resulting Boltzmann functions together
-    with the corresponding data.
+    \begin{parts}
+      \part{} Before you do the fitting, familiarize yourself with the four
+      parameters of the Boltzmann function. What is its value for very
+      large or very small stimulus intensities? How does the Boltzmann
+      function change if you change the parameters?
 
-    \part Illustrate how the F-I curves change in time also by means
-    of the parameter you obtained from the fits with the Boltzmann
-    function. 
+      \part{} Can you get good initial estimates for the parameters?
+      \part{} Do the fits and show the resulting Boltzmann functions together
+      with the corresponding data.
 
-    Which parameter stay the same, which ones change with time?
+      \part{} Illustrate how fit to the F-I curves changes during the fitting
+      process. You can plot the parameters as a function fit iterations.
+      Which parameter stay the same, which ones change with time?
 
-    Support your conclusion with appropriate statistical tests.
+      Support your conclusion with appropriate statistical tests.
 
-    \part Discuss you results with respect to encoding of different
-    stimulus intensities.
+      \part{} Discuss you results with respect to encoding of different
+      stimulus intensities.
   \end{parts}
 \end{questions}