diff --git a/decoding_tf_analysis.py b/decoding_tf_analysis.py
index 1b03368..ae36b07 100644
--- a/decoding_tf_analysis.py
+++ b/decoding_tf_analysis.py
@@ -193,8 +193,8 @@ def time_frequency(dataset, filename, compute_tfr=True):
     :param compute_tfr: If True the TFRs will be created, else the TFRs will be loaded from a precomputed file
     """
     # Parameters
-    # freqs = np.linspace(0.1, 50, num=50) # Use this for linear space scaling
-    freqs = np.logspace(*np.log10([0.1, 50]), num=50)
+    freqs = np.linspace(0.1, 50, num=50) # Use this for linear space scaling
+    # freqs = np.logspace(*np.log10([0.1, 50]), num=50)
     n_cycles = freqs / 2
     cond1 = []
     cond2 = []
@@ -252,4 +252,4 @@ if __name__ == '__main__':
     mne.set_log_level(verbose=VERBOSE_LEVEL)
     ds = 'N170'
     decoding(ds, 'faces_vs_cars', True)
-    time_frequency(ds, 'face_intact_vs_all_0.1_50hz_ncf2', True)
+    time_frequency(ds, 'face_intact_vs_all_0.1_50hz_ncf2_linscale', True)