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@@ -254,7 +254,7 @@
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"metadata": {},
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"source": [
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"# Define NetworkUnit classes<a id='cla'></a>\n",
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- "A general experimental data class is defined, which is the basis to load the two data sets into the NetworkUnit framework. For the sake of simplicity, we load all the single unit activity data within a fixed time window of 800ms ranging from `'TS_ON'` to `'CUE_ON'`. `'TS_ON'` defines the start of the trial and 800ms later the grip type is signalled by `'CUE_ON'`. This means that there is no trial type information in the given time window. The data is handed over to NetworkUnit as a list of spiketrains with `n_units * n_trial` elements. Spike trains are discarded if their signal to noise ration is small (`SNR`$<2.5$)."
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+ "A general experimental data class is defined, which is the basis to load the two data sets into the NetworkUnit framework. For the sake of simplicity, we load all the single unit activity data within a fixed time window of 800ms ranging from `'TS_ON'` to `'CUE_ON'`. `'TS_ON'` defines the start of the trial and 800ms later the grip type is signaled by `'CUE_ON'`. This means that there is no trial type information in the given time window. The data is handed over to NetworkUnit as a list of spike trains with `n_units * n_trial` elements. Spike trains are discarded if their signal to noise ration is small (`SNR`$<2.5$)."
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]
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},
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{
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@@ -292,7 +292,7 @@
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" stop_event = get_events(data_segment, properties={\n",
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" 'trial_event_labels': self.params['stop_trigger'],\n",
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" 'performance_in_trial': session.performance_codes['correct_trial']})[0]\n",
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- " # select segments and get spiketrains\n",
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+ " # select segments and get spike trains\n",
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" selected_trial_segments = self.select_trial_segments(data_segment, start_event, stop_event)\n",
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" spiketrains = self.get_spiketrains(selected_trial_segments)\n",
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" return spiketrains\n",
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@@ -509,7 +509,7 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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- "## Rasterplots"
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+ "## Raster plots"
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]
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},
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{
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@@ -538,7 +538,7 @@
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"fig, ax = plt.subplots(nrows=ndat, ncols=1, figsize=(14,ndat*4), sharex=True)\n",
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"fig.subplots_adjust(hspace=0)\n",
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"\n",
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- "# plot first 2000 spiketrains as example\n",
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+ "# plot first 2000 spike trains as example\n",
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"nunits = 2000\n",
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"sts_list = [d.spiketrains[:nunits] for d in DATA]\n",
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"\n",
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mvonpapen