updated discussion of dff

demos/notebooks/demo_pipeline.ipynb

@@ -1210,9 +1210,9 @@
     "\\Delta F/F = (F(t)-F_0)/F_0\n",
     "$$\n",
     "\n",
-    "Traditionally, the baseline value was calculated during some initial period of queiscience (e.g., in the visual system, when the animal was sitting in the dark). But because it is problematic to make any assumptions about a \"quiet\" baseline period, researchers have started to use a moving percentile for $F_0$, which is what Caiman does.\n",
+    "Traditionally, the baseline value was calculated during some initial period of queiscience (e.g., in the visual system, when the animal was sitting in the dark). However, it is problematic to make any assumptions about a \"quiet\" baseline period, so researchers have started to use a moving percentile for $F_0$. This is also what Caiman does.\n",
     "\n",
-    "More specifically, Caiman the baseline is a running percentile calculated over a `frames_window` moving window. You can calculate $\\Delta F/F$ using raw traces or the denoised traces in C (this is toggled using the `use_residuals` argument):"
+    "More specifically, in Caiman the baseline is a running percentile calculated over a `frames_window` moving window. You can calculate $\\Delta F/F$ using raw traces or the denoised traces in C (this is toggled using the `use_residuals` argument):"
    ]
   },
   {
@@ -1234,7 +1234,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The `estimates` object will now have a `F_dff` field, which makes it easier to compare traces across neurons/sessions. This value can be positive or negative because it is relative to a baseline value that is the \"zero\" value."
+    "The `estimates` object will now have a `F_dff` field, which makes it easier to compare traces across neurons/sessions because the data is normalized. Note that F_dff values can be positive or negative because it is relative to a baseline value that is the \"zero\" value."
    ]
   },
   {