Change to FAQ, suggested by issue #22.

Demo scripts/Calibrated_spike_inference_with_Cascade.ipynb

@@ -675,6 +675,17 @@
         ">The output **spike_prob** is the _expected number of spikes_ in this time bin, at the same resolution as the original calcium recording. This metric is also called _spike probability_ for brevity in the paper and elsewhere. If you sum over the trace in time, you will get the estimated **number of spikes**. If you multiply the trace with the frame rate, you will get an estimate of the instantaneous **spike rate**. Spike probability and spike rates can therefore be converted by multiplication with the frame rate."
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "2tXN9GYU7Kc9"
+      },
+      "source": [
+        "#### Can **spike_prob** be larger than 1?\n",
+        "\n",
+        ">Yes. As described above (\"What does the output of the algorithm mean?\"), the output of the algorithm is strictly speakint not a probability and therefore not restricted to values between 0 and 1. A value >1 would simply indicate that the estimated number of spikes in the time bin is larger than 1. "
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {