diff --git a/code/base_eod.py b/code/base_eod.py
index 5a8c5ad..bf1e757 100644
--- a/code/base_eod.py
+++ b/code/base_eod.py
@@ -14,8 +14,8 @@ zeit = np.asarray(time)
 
 plt.plot(zeit[0:1000], eod[0:1000])
 plt.title('A.lepto EOD')#Plottitelk
-plt.xlabel('Time [ms]', fontsize = 12)#Achsentitel
-plt.ylabel('Amplitude[mv]', fontsize = 12)#Achsentitel
+plt.xlabel('time [ms]', fontsize = 12)#Achsentitel
+plt.ylabel('amplitude[mv]', fontsize = 12)#Achsentitel
 plt.xticks(fontsize = 12)
 plt.yticks(fontsize = 12)
 plt.show()
diff --git a/code/plot_eodform_spikehist.py b/code/plot_eodform_spikehist.py
index 19f7b5c..44892bc 100644
--- a/code/plot_eodform_spikehist.py
+++ b/code/plot_eodform_spikehist.py
@@ -31,7 +31,7 @@ ax.spines["right"].set_visible(False)
 fig.tight_layout()
 #plt.show()
 plt.savefig('isis.pdf')
-
+exit()
 
 # calculate coefficient of variation
 mu = np.mean(interspikeintervals)
diff --git a/code/stimulus_chirp.py b/code/stimulus_chirp.py
index ea785e0..5208d60 100644
--- a/code/stimulus_chirp.py
+++ b/code/stimulus_chirp.py
@@ -2,15 +2,16 @@ import numpy as np
 import matplotlib.pyplot as plt
 
 stimulusrate = 500.  # the eod frequency of the fake fish
-currentchirptimes = [0.1]
-chirpwidth = 0.05  # ms
+currentchirptimes = [0.0]
+chirpwidth = 0.014  # ms
 chirpsize = 100.
 chirpampl = 0.02
 chirpkurtosis = 1.
 p = 0.
 stepsize = 0.00001
+inch_factor = 2.54
 
-time = np.arange(0.0, 0.2, stepsize)
+time = np.arange(-0.05, 0.05, stepsize)
 signal = np.zeros(time.shape)
 ampl = np.ones(time.shape)
 freq = np.ones(time.shape)
@@ -34,14 +35,23 @@ for k, t in enumerate(time):
     p += f * stepsize
     signal[k] = a * np.sin(6.28318530717959 * p)
 
-fig = plt.figure()
+fig = plt.figure(figsize = (20/inch_factor, 15/inch_factor))
 ax1 = fig.add_subplot(211)
-ax2 = fig.add_subplot(212)
+plt.yticks(fontsize=18)
+ax2 = fig.add_subplot(212, sharex=ax1)
+plt.setp(ax1.get_xticklabels(), visible=False)
+ax1.plot(time*1000, signal, color = 'royalblue', lw = 1)
+ax2.plot(time*1000, freq, color = 'royalblue', lw = 3)
 
-ax1.plot(time, signal)
-ax2.plot(time, freq)
+ax1.set_ylabel("field [mV]", fontsize = 22)
 
-ax1.set_ylabel("fake fish field [rel]")
-ax2.set_xlabel("time [s]")
-ax2.set_ylabel("frequency [Hz]")
-plt.show()
+
+ax1.yaxis.set_label_coords(-0.1, 0.5)
+ax2.set_xlabel("time [ms]", fontsize = 22)
+ax2.set_ylabel("frequency [Hz]", fontsize = 22)
+ax2.yaxis.set_label_coords(-0.1, 0.5)
+plt.xticks(fontsize=18)
+plt.yticks(fontsize=18)
+fig.tight_layout()
+#plt.show()
+plt.savefig('stimulus_chirp.pdf')