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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "740a0b46",
+   "metadata": {},
+   "source": [
+    "# Visualizing Neuronal Unit Spikes\n",
+    "\n",
+    "Some of this content is adapted from the [Allen SDK Documentation](https://allensdk.readthedocs.io/en/latest/_static/examples/nb/ecephys_session.html).\n",
+    "\n",
+    "After processing Neuropixel ecephys data with [Kilosort](https://github.com/MouseLand/Kilosort), individual neuronal units have been identified and are stored in the Units table, in the `Units` section of the NWB file. The Units table contains information about hypothetical neurons determined by Kilosort. With this information, and the stimulus information found in the stimulus tables of the `Intervals` section, this notebook helps examine the spiking behavior of these units in response to stimulus and their associated waveforms"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4c83be96",
+   "metadata": {},
+   "source": [
+    "### Environment Setup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "09650a3e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "\n",
+    "from dandi import dandiapi\n",
+    "from pynwb import NWBHDF5IO\n",
+    "\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3cc865a1",
+   "metadata": {},
+   "source": [
+    "### Download Ecephys File\n",
+    "Change the code to download the file you're interested in. Set `dandiset_id` and `dandi_filepath` to correspond to the dandiset id and filepath of the file, respectively. If you're accessing an embargoed dataset, change `authenticate` to True, and change `dandi_api_key` to your dandi api key. If you want to stream a file instead of downloading it, checkout [Streaming an NWB File with fsspec](../basics/stream_nwb.ipynb)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "faa81fb6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dandiset_id = \"000021\"\n",
+    "dandi_filepath = \"sub-703279277/sub-703279277_ses-719161530.nwb\"\n",
+    "authenticate = False\n",
+    "# dandi_api_key = os.environ['DANDI_API_KEY']\n",
+    "download_loc = \".\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "bd981ccb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "filename = dandi_filepath.split(\"/\")[-1]\n",
+    "filepath = f\"{download_loc}/{filename}\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "6f3884c6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "A newer version (0.48.0) of dandi/dandi-cli is available. You are using 0.46.3\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Got dandiset DANDI:000021/draft\n"
+     ]
+    }
+   ],
+   "source": [
+    "if authenticate:\n",
+    "    client = dandiapi.DandiAPIClient(token=dandi_api_key)\n",
+    "else:\n",
+    "    client = dandiapi.DandiAPIClient()\n",
+    "my_dandiset = client.get_dandiset(dandiset_id)\n",
+    "print(f\"Got dandiset {my_dandiset}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "91aa3183",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloaded file to ./sub-703279277_ses-719161530.nwb\n"
+     ]
+    }
+   ],
+   "source": [
+    "file = my_dandiset.get_asset_by_path(dandi_filepath)\n",
+    "# this may take awhile, especially if the file to download is large\n",
+    "file.download(filepath)\n",
+    "\n",
+    "print(f\"Downloaded file to {filepath}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "53919d11",
+   "metadata": {},
+   "source": [
+    "### Extracting Unit Data and Stimulus Data\n",
+    "Below, the `Units` table is read from the file. Individual units are identified with the `id` column. Note that, while each id is unique, they are not perfectly ordinal; some ids are missing. In the cells below, the unit properties are listed and a slice of the units table is shown. More thorough descriptions of several unit properties can be found in [Visualizing Unit Quality Metrics](visualize_unit_metrics.ipynb)\n",
+    "\n",
+    "Additionally, the stimulus data is also read from the NWB file's `Intervals` section. Stimulus information is stored as a series of tables depending on the type of stimulus shown in the session. One such table is displayed below."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "ac9d9572",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\carter.peene\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\hdmf\\spec\\namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.1.3 because version 1.5.1 is already loaded.\n",
+      "  warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n",
+      "C:\\Users\\carter.peene\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\hdmf\\spec\\namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.2 because version 2.5.0 is already loaded.\n",
+      "  warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n"
+     ]
+    }
+   ],
+   "source": [
+    "io = NWBHDF5IO(filepath, mode=\"r\", load_namespaces=True)\n",
+    "nwb = io.read() "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "50a4d0b6",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['waveform_duration', 'cluster_id', 'peak_channel_id',\n",
+       "       'cumulative_drift', 'amplitude_cutoff', 'snr', 'recovery_slope',\n",
+       "       'isolation_distance', 'nn_miss_rate', 'silhouette_score',\n",
+       "       'velocity_above', 'quality', 'PT_ratio', 'l_ratio', 'velocity_below',\n",
+       "       'max_drift', 'isi_violations', 'firing_rate', 'amplitude',\n",
+       "       'local_index', 'spread', 'waveform_halfwidth', 'd_prime',\n",
+       "       'presence_ratio', 'repolarization_slope', 'nn_hit_rate', 'spike_times',\n",
+       "       'spike_amplitudes', 'waveform_mean'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# this may take awhile when using file streaming\n",
+    "units = nwb.units.to_dataframe()\n",
+    "units.keys()\n",
+    "# units = nwb.units\n",
+    "# units.colnames"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "ce0e64b4",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
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+       "      <td>0.250970</td>\n",
+       "      <td>...</td>\n",
+       "      <td>235</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>0.082412</td>\n",
+       "      <td>6.011525</td>\n",
+       "      <td>0.71</td>\n",
+       "      <td>0.613976</td>\n",
+       "      <td>0.995134</td>\n",
+       "      <td>[2625.1812451333517, 2625.195478447402, 2625.2...</td>\n",
+       "      <td>[9.332805407085107e-05, 0.00011217241356378219...</td>\n",
+       "      <td>[[0.0, -1.2247949999999905, 3.6318750000000044...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>950958064</th>\n",
+       "      <td>0.604355</td>\n",
+       "      <td>242</td>\n",
+       "      <td>850256511</td>\n",
+       "      <td>314.21</td>\n",
+       "      <td>0.084867</td>\n",
+       "      <td>3.099177</td>\n",
+       "      <td>-0.064093</td>\n",
+       "      <td>49.170211</td>\n",
+       "      <td>0.001985</td>\n",
+       "      <td>0.153596</td>\n",
+       "      <td>...</td>\n",
+       "      <td>238</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>0.151089</td>\n",
+       "      <td>4.192806</td>\n",
+       "      <td>0.99</td>\n",
+       "      <td>0.426358</td>\n",
+       "      <td>0.947028</td>\n",
+       "      <td>[8.229957206651436, 8.243390521785514, 9.81902...</td>\n",
+       "      <td>[0.00021079520849161493, 0.0001983938878704022...</td>\n",
+       "      <td>[[0.0, -4.4120700000000035, -6.431880000000012...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3232 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           waveform_duration  cluster_id  peak_channel_id  cumulative_drift  \\\n",
+       "id                                                                            \n",
+       "950921187           0.604355           4        850249267            481.80   \n",
+       "950921172           0.521943           3        850249267            681.53   \n",
+       "950921152           0.467002           2        850249267           1070.71   \n",
+       "950921135           0.467002           1        850249267            253.42   \n",
+       "950921111           0.439531           0        850249267            141.82   \n",
+       "...                      ...         ...              ...               ...   \n",
+       "950958827           0.686767         327        850256505            425.47   \n",
+       "950958817           0.535678         326        850256505            391.97   \n",
+       "950958015           0.576884         236        850256505            195.00   \n",
+       "950958038           0.137353         239        850256507            132.76   \n",
+       "950958064           0.604355         242        850256511            314.21   \n",
+       "\n",
+       "           amplitude_cutoff       snr  recovery_slope  isolation_distance  \\\n",
+       "id                                                                          \n",
+       "950921187          0.425574  2.209140       -0.118430           17.537571   \n",
+       "950921172          0.390098  1.959983       -0.109729           14.677643   \n",
+       "950921152          0.500000  2.522905       -0.109867           15.783665   \n",
+       "950921135          0.500000  2.803475       -0.150379           26.666930   \n",
+       "950921111          0.018056  4.647943       -0.328727           66.901065   \n",
+       "...                     ...       ...             ...                 ...   \n",
+       "950958827          0.013262  1.197137       -0.033924           47.100934   \n",
+       "950958817          0.029259  2.162418       -0.045889           44.871938   \n",
+       "950958015          0.003844  3.398071       -0.072890           43.340940   \n",
+       "950958038          0.001628  3.938438       -0.121152           84.593734   \n",
+       "950958064          0.084867  3.099177       -0.064093           49.170211   \n",
+       "\n",
+       "           nn_miss_rate  silhouette_score  ...  local_index spread  \\\n",
+       "id                                         ...                       \n",
+       "950921187      0.009496          0.036369  ...            4   50.0   \n",
+       "950921172      0.003857          0.103446  ...            3   40.0   \n",
+       "950921152      0.017776          0.027818  ...            2   50.0   \n",
+       "950921135      0.023742          0.076530  ...            1   40.0   \n",
+       "950921111      0.006595               NaN  ...            0   30.0   \n",
+       "...                 ...               ...  ...          ...    ...   \n",
+       "950958827      0.000569          0.003954  ...          323   70.0   \n",
+       "950958817      0.004134         -0.030602  ...          322   50.0   \n",
+       "950958015      0.001142         -0.127013  ...          232   40.0   \n",
+       "950958038      0.000101          0.250970  ...          235   40.0   \n",
+       "950958064      0.001985          0.153596  ...          238   60.0   \n",
+       "\n",
+       "           waveform_halfwidth   d_prime  presence_ratio  repolarization_slope  \\\n",
+       "id                                                                              \n",
+       "950921187            0.357119  2.962274            0.99              0.381716   \n",
+       "950921172            0.260972  2.067810            0.99              0.536663   \n",
+       "950921152            0.247236  2.220043            0.99              0.566559   \n",
+       "950921135            0.233501  2.339206            0.99              0.669090   \n",
+       "950921111            0.219765  4.395994            0.99              1.261416   \n",
+       "...                       ...       ...             ...                   ...   \n",
+       "950958827            0.219765  3.495039            0.99              0.166195   \n",
+       "950958817            0.164824  3.535095            0.96              0.374690   \n",
+       "950958015            0.137353  4.977663            0.92              0.634695   \n",
+       "950958038            0.082412  6.011525            0.71              0.613976   \n",
+       "950958064            0.151089  4.192806            0.99              0.426358   \n",
+       "\n",
+       "           nn_hit_rate                                        spike_times  \\\n",
+       "id                                                                          \n",
+       "950921187     0.473829  [1.0439430431793884, 1.543311060144649, 2.7287...   \n",
+       "950921172     0.445946  [10.406435026164546, 17.127986534673788, 18.48...   \n",
+       "950921152     0.284058  [1.2775103414155262, 2.3915133536963493, 3.701...   \n",
+       "950921135     0.590737  [9.473732504122962, 13.198542576065163, 18.302...   \n",
+       "950921111     0.952667  [1.1677100445138795, 1.1707767194728813, 1.349...   \n",
+       "...                ...                                                ...   \n",
+       "950958827     0.562500  [56.68879155534432, 56.71539151930708, 140.382...   \n",
+       "950958817     0.618474  [32.77642395146384, 53.25072954651286, 53.3577...   \n",
+       "950958015     0.767932  [171.13333650757914, 614.5358357924764, 895.59...   \n",
+       "950958038     0.995134  [2625.1812451333517, 2625.195478447402, 2625.2...   \n",
+       "950958064     0.947028  [8.229957206651436, 8.243390521785514, 9.81902...   \n",
+       "\n",
+       "                                            spike_amplitudes  \\\n",
+       "id                                                             \n",
+       "950921187  [0.0001908626967721937, 0.00016134635752077775...   \n",
+       "950921172  [0.00014485615850768024, 0.0001722424107984555...   \n",
+       "950921152  [0.00014859435856024575, 0.0001531048673600236...   \n",
+       "950921135  [0.00032386170367170055, 0.0004518112387675137...   \n",
+       "950921111  [0.00015644521007973124, 0.000214412247939483,...   \n",
+       "...                                                      ...   \n",
+       "950958827  [7.006826592238747e-05, 6.896932990521833e-05,...   \n",
+       "950958817  [7.075155819535531e-05, 7.864810630992507e-05,...   \n",
+       "950958015  [9.143536229559716e-05, 0.00010639289111014194...   \n",
+       "950958038  [9.332805407085107e-05, 0.00011217241356378219...   \n",
+       "950958064  [0.00021079520849161493, 0.0001983938878704022...   \n",
+       "\n",
+       "                                               waveform_mean  \n",
+       "id                                                            \n",
+       "950921187  [[0.0, 0.5961149999999966, 5.378099999999993, ...  \n",
+       "950921172  [[0.0, -1.341600000000002, -0.4586399999999933...  \n",
+       "950921152  [[0.0, -0.6427199999999993, -2.836079999999998...  \n",
+       "950921135  [[0.0, -3.2800950000000078, -6.087510000000009...  \n",
+       "950921111  [[0.0, -0.9291749999999945, -6.120270000000007...  \n",
+       "...                                                      ...  \n",
+       "950958827  [[0.0, 1.456064999999999, -2.1444149999999933,...  \n",
+       "950958817  [[0.0, 5.052254999999994, -0.3732300000000003,...  \n",
+       "950958015  [[0.0, 7.7005500000000175, 12.612210000000019,...  \n",
+       "950958038  [[0.0, -1.2247949999999905, 3.6318750000000044...  \n",
+       "950958064  [[0.0, -4.4120700000000035, -6.431880000000012...  \n",
+       "\n",
+       "[3232 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "units"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "d61e1459",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "dict_keys(['drifting_gratings_presentations', 'flashes_presentations', 'gabors_presentations', 'invalid_times', 'natural_movie_one_presentations', 'natural_movie_three_presentations', 'natural_scenes_presentations', 'spontaneous_presentations', 'static_gratings_presentations'])\n"
+     ]
+    }
+   ],
+   "source": [
+    "stimulus_names = nwb.intervals.keys()\n",
+    "print(stimulus_names)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "aa347405",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>start_time</th>\n",
+       "      <th>stop_time</th>\n",
+       "      <th>stimulus_name</th>\n",
+       "      <th>stimulus_block</th>\n",
+       "      <th>color</th>\n",
+       "      <th>mask</th>\n",
+       "      <th>opacity</th>\n",
+       "      <th>phase</th>\n",
+       "      <th>size</th>\n",
+       "      <th>units</th>\n",
+       "      <th>stimulus_index</th>\n",
+       "      <th>orientation</th>\n",
+       "      <th>spatial_frequency</th>\n",
+       "      <th>contrast</th>\n",
+       "      <th>tags</th>\n",
+       "      <th>timeseries</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1290.883097</td>\n",
+       "      <td>1291.133309</td>\n",
+       "      <td>flashes</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>-1.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>[300.0, 300.0]</td>\n",
+       "      <td>deg</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>[stimulus_time_interval]</td>\n",
+       "      <td>[(3647, 1, timestamps pynwb.base.TimeSeries at...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1292.884817</td>\n",
+       "      <td>1293.135016</td>\n",
+       "      <td>flashes</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>[300.0, 300.0]</td>\n",
+       "      <td>deg</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>[stimulus_time_interval]</td>\n",
+       "      <td>[(3648, 1, timestamps pynwb.base.TimeSeries at...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1294.886487</td>\n",
+       "      <td>1295.136691</td>\n",
+       "      <td>flashes</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>[300.0, 300.0]</td>\n",
+       "      <td>deg</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>[stimulus_time_interval]</td>\n",
+       "      <td>[(3649, 1, timestamps pynwb.base.TimeSeries at...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1296.888137</td>\n",
+       "      <td>1297.138344</td>\n",
+       "      <td>flashes</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>[300.0, 300.0]</td>\n",
+       "      <td>deg</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>[stimulus_time_interval]</td>\n",
+       "      <td>[(3650, 1, timestamps pynwb.base.TimeSeries at...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1298.889787</td>\n",
+       "      <td>1299.140004</td>\n",
+       "      <td>flashes</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>-1.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>[300.0, 300.0]</td>\n",
+       "      <td>deg</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>[stimulus_time_interval]</td>\n",
+       "      <td>[(3651, 1, timestamps pynwb.base.TimeSeries at...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>145</th>\n",
+       "      <td>1581.125517</td>\n",
+       "      <td>1581.375726</td>\n",
+       "      <td>flashes</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>[300.0, 300.0]</td>\n",
+       "      <td>deg</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>[stimulus_time_interval]</td>\n",
+       "      <td>[(3792, 1, timestamps pynwb.base.TimeSeries at...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>146</th>\n",
+       "      <td>1583.127217</td>\n",
+       "      <td>1583.377419</td>\n",
+       "      <td>flashes</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>[300.0, 300.0]</td>\n",
+       "      <td>deg</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>[stimulus_time_interval]</td>\n",
+       "      <td>[(3793, 1, timestamps pynwb.base.TimeSeries at...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>147</th>\n",
+       "      <td>1585.128807</td>\n",
+       "      <td>1585.379029</td>\n",
+       "      <td>flashes</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>-1.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>[300.0, 300.0]</td>\n",
+       "      <td>deg</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>[stimulus_time_interval]</td>\n",
+       "      <td>[(3794, 1, timestamps pynwb.base.TimeSeries at...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>148</th>\n",
+       "      <td>1587.130507</td>\n",
+       "      <td>1587.380724</td>\n",
+       "      <td>flashes</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>-1.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>[300.0, 300.0]</td>\n",
+       "      <td>deg</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>[stimulus_time_interval]</td>\n",
+       "      <td>[(3795, 1, timestamps pynwb.base.TimeSeries at...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>149</th>\n",
+       "      <td>1589.132187</td>\n",
+       "      <td>1589.382401</td>\n",
+       "      <td>flashes</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>-1.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>[300.0, 300.0]</td>\n",
+       "      <td>deg</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[0.0, 0.0]</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>[stimulus_time_interval]</td>\n",
+       "      <td>[(3796, 1, timestamps pynwb.base.TimeSeries at...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>150 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      start_time    stop_time stimulus_name  stimulus_block color  mask  \\\n",
+       "id                                                                        \n",
+       "0    1290.883097  1291.133309       flashes             1.0  -1.0  None   \n",
+       "1    1292.884817  1293.135016       flashes             1.0   1.0  None   \n",
+       "2    1294.886487  1295.136691       flashes             1.0   1.0  None   \n",
+       "3    1296.888137  1297.138344       flashes             1.0   1.0  None   \n",
+       "4    1298.889787  1299.140004       flashes             1.0  -1.0  None   \n",
+       "..           ...          ...           ...             ...   ...   ...   \n",
+       "145  1581.125517  1581.375726       flashes             1.0   1.0  None   \n",
+       "146  1583.127217  1583.377419       flashes             1.0   1.0  None   \n",
+       "147  1585.128807  1585.379029       flashes             1.0  -1.0  None   \n",
+       "148  1587.130507  1587.380724       flashes             1.0  -1.0  None   \n",
+       "149  1589.132187  1589.382401       flashes             1.0  -1.0  None   \n",
+       "\n",
+       "     opacity       phase            size units  stimulus_index  orientation  \\\n",
+       "id                                                                            \n",
+       "0        1.0  [0.0, 0.0]  [300.0, 300.0]   deg             1.0          0.0   \n",
+       "1        1.0  [0.0, 0.0]  [300.0, 300.0]   deg             1.0          0.0   \n",
+       "2        1.0  [0.0, 0.0]  [300.0, 300.0]   deg             1.0          0.0   \n",
+       "3        1.0  [0.0, 0.0]  [300.0, 300.0]   deg             1.0          0.0   \n",
+       "4        1.0  [0.0, 0.0]  [300.0, 300.0]   deg             1.0          0.0   \n",
+       "..       ...         ...             ...   ...             ...          ...   \n",
+       "145      1.0  [0.0, 0.0]  [300.0, 300.0]   deg             1.0          0.0   \n",
+       "146      1.0  [0.0, 0.0]  [300.0, 300.0]   deg             1.0          0.0   \n",
+       "147      1.0  [0.0, 0.0]  [300.0, 300.0]   deg             1.0          0.0   \n",
+       "148      1.0  [0.0, 0.0]  [300.0, 300.0]   deg             1.0          0.0   \n",
+       "149      1.0  [0.0, 0.0]  [300.0, 300.0]   deg             1.0          0.0   \n",
+       "\n",
+       "    spatial_frequency  contrast                      tags  \\\n",
+       "id                                                          \n",
+       "0          [0.0, 0.0]       0.8  [stimulus_time_interval]   \n",
+       "1          [0.0, 0.0]       0.8  [stimulus_time_interval]   \n",
+       "2          [0.0, 0.0]       0.8  [stimulus_time_interval]   \n",
+       "3          [0.0, 0.0]       0.8  [stimulus_time_interval]   \n",
+       "4          [0.0, 0.0]       0.8  [stimulus_time_interval]   \n",
+       "..                ...       ...                       ...   \n",
+       "145        [0.0, 0.0]       0.8  [stimulus_time_interval]   \n",
+       "146        [0.0, 0.0]       0.8  [stimulus_time_interval]   \n",
+       "147        [0.0, 0.0]       0.8  [stimulus_time_interval]   \n",
+       "148        [0.0, 0.0]       0.8  [stimulus_time_interval]   \n",
+       "149        [0.0, 0.0]       0.8  [stimulus_time_interval]   \n",
+       "\n",
+       "                                            timeseries  \n",
+       "id                                                      \n",
+       "0    [(3647, 1, timestamps pynwb.base.TimeSeries at...  \n",
+       "1    [(3648, 1, timestamps pynwb.base.TimeSeries at...  \n",
+       "2    [(3649, 1, timestamps pynwb.base.TimeSeries at...  \n",
+       "3    [(3650, 1, timestamps pynwb.base.TimeSeries at...  \n",
+       "4    [(3651, 1, timestamps pynwb.base.TimeSeries at...  \n",
+       "..                                                 ...  \n",
+       "145  [(3792, 1, timestamps pynwb.base.TimeSeries at...  \n",
+       "146  [(3793, 1, timestamps pynwb.base.TimeSeries at...  \n",
+       "147  [(3794, 1, timestamps pynwb.base.TimeSeries at...  \n",
+       "148  [(3795, 1, timestamps pynwb.base.TimeSeries at...  \n",
+       "149  [(3796, 1, timestamps pynwb.base.TimeSeries at...  \n",
+       "\n",
+       "[150 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "stim_table = nwb.intervals[\"flashes_presentations\"]\n",
+    "stim_table[:]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f2ca9341",
+   "metadata": {},
+   "source": [
+    "### Getting Stimulus Epochs\n",
+    "Here, epochs are extracted from the stimulus tables. In this case, an 'epoch' is a continuous period of time during a session where a particular type of stimulus is shown. The output here is a list of epochs, where an epoch is a tuple of four values; the stimulus name, the stimulus block, the starting time and the ending time. Since stimulus information can vary signifcantly between experiments and NWB files, you may need to tailor the code below to extract epochs for the file you're interested in. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "9fdc4f40",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# extract epoch times from stim table where stimulus rows have a different 'block' than following row\n",
+    "# returns list of epochs, where an epoch is of the form (stimulus name, stimulus block, start time, stop time)\n",
+    "def extract_epochs(stim_name, stim_table, epochs):\n",
+    "    \n",
+    "    # specify a current epoch stop and start time\n",
+    "    epoch_start = stim_table.start_time[0]\n",
+    "    epoch_stop = stim_table.stop_time[0]\n",
+    "\n",
+    "    # for each row, try to extend current epoch stop_time\n",
+    "    for i in range(len(stim_table)):\n",
+    "        this_block = stim_table.stimulus_block[i]\n",
+    "        # if end of table, end the current epoch\n",
+    "        if i+1 >= len(stim_table):\n",
+    "            epochs.append((stim_name, this_block, epoch_start, epoch_stop))\n",
+    "            break\n",
+    "            \n",
+    "        next_block = stim_table.stimulus_block[i+1]\n",
+    "        # if next row is the same stim block, push back epoch_stop time\n",
+    "        if next_block == this_block:\n",
+    "            epoch_stop = stim_table.stop_time[i+1]\n",
+    "        # otherwise, end the current epoch, start new epoch\n",
+    "        else:\n",
+    "            epochs.append((stim_name, this_block, epoch_start, epoch_stop))\n",
+    "            epoch_start = stim_table.start_time[i+1]\n",
+    "            epoch_stop = stim_table.stop_time[i+1]\n",
+    "    \n",
+    "    return epochs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "2afe14f6",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "15\n",
+      "('gabors_presentations', 0.0, 89.8968273815905, 1001.8917716749913)\n",
+      "('flashes_presentations', 1.0, 1290.8830973815907, 1589.382401312724)\n",
+      "('drifting_gratings_presentations', 2.0, 1591.1338573815906, 2190.634543106125)\n",
+      "('natural_movie_three_presentations', 3.0, 2221.6604473815905, 2822.161967381591)\n",
+      "('natural_movie_one_presentations', 4.0, 2852.1870373815905, 3152.4377773815904)\n",
+      "('drifting_gratings_presentations', 5.0, 3182.4628573815908, 3781.963503106125)\n",
+      "('natural_movie_three_presentations', 6.0, 4083.215117381591, 4683.716567381592)\n",
+      "('drifting_gratings_presentations', 7.0, 4713.741627381592, 5397.312443106124)\n",
+      "('static_gratings_presentations', 8.0, 5398.31325738159, 5878.714467381591)\n",
+      "('natural_scenes_presentations', 9.0, 5908.739537381591, 6389.157337381589)\n",
+      "('natural_scenes_presentations', 10.0, 6689.408117381589, 7169.809297381591)\n",
+      "('static_gratings_presentations', 11.0, 7199.83431738159, 7680.268867381591)\n",
+      "('natural_movie_one_presentations', 12.0, 7710.293937381591, 8010.54467738159)\n",
+      "('natural_scenes_presentations', 13.0, 8040.56972738159, 8568.510620243858)\n",
+      "('static_gratings_presentations', 14.0, 8611.04613738159, 9151.49746738159)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# extract epochs from all valid stimulus tables\n",
+    "epochs = []\n",
+    "for stim_name in stimulus_names:\n",
+    "    stim_table = nwb.intervals[stim_name]\n",
+    "    try:\n",
+    "        epochs = extract_epochs(stim_name, stim_table, epochs)\n",
+    "    except:\n",
+    "        continue\n",
+    "\n",
+    "# epochs take the form (stimulus name, stimulus block, start time, stop time)\n",
+    "print(len(epochs))\n",
+    "epochs.sort(key=lambda x: x[2])\n",
+    "for epoch in epochs:\n",
+    "    print(epoch)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d1c90bcc",
+   "metadata": {},
+   "source": [
+    "### Visualizing Unit Activity Throughout Epochs\n",
+    "Below is a view of the spiking activity of a unit throughout a session, where epochs are shown as colored sections. Set `unit_num` to be the id of the unit to view. Set `time_start` to the starting bound in seconds of the session, you'd like to see, and `time_end` to the ending bound. You may want to use the output above to inform your choice. As mentioned above, if your file's stimulus information differs signifcantly, this code may need to be modified to appropriately display the epochs."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "8b1d9007",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "unit_num = 950930672 # chosen from units table\n",
+    "time_start = 0\n",
+    "time_end = 10000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "8eacf09e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# make histogram of unit spikes per second over specified timeframe\n",
+    "spikes = units.spike_times[unit_num]\n",
+    "time_bin_edges = np.linspace(time_start, time_end, (time_end-time_start))\n",
+    "hist, bins = np.histogram(spikes, bins=time_bin_edges)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "6d11f911",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x1e20c0bf850>]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# generate plot of spike histogram with colored epoch intervals and legend\n",
+    "fig, ax = plt.subplots(figsize=(15,5))\n",
+    "\n",
+    "# assign unique color to each stimulus name\n",
+    "stim_names = list({epoch[0] for epoch in epochs})\n",
+    "colors = plt.cm.rainbow(np.linspace(0,1,len(stim_names)))\n",
+    "stim_color_map = {stim_names[i]:colors[i] for i in range(len(stim_names))}\n",
+    "\n",
+    "epoch_key = {}\n",
+    "height = max(hist)\n",
+    "# draw colored rectangles for each epoch\n",
+    "for epoch in epochs:\n",
+    "    stim_name, stim_block, epoch_start, epoch_end = epoch\n",
+    "    color = stim_color_map[stim_name]\n",
+    "    rec = ax.add_patch(mpl.patches.Rectangle((epoch_start, 0), epoch_end-epoch_start, height, alpha=0.2, facecolor=color))\n",
+    "    epoch_key[stim_name] = rec\n",
+    "    \n",
+    "ax.set_xlim(time_start, time_end)\n",
+    "ax.set_ylim(-0.1, height+0.1)\n",
+    "ax.set_xlabel(\"time (s)\")\n",
+    "ax.set_ylabel(\"# spikes\")\n",
+    "\n",
+    "fig.legend(epoch_key.values(), epoch_key.keys(), loc=\"lower right\", bbox_to_anchor=(1.12, 0.25))\n",
+    "ax.plot(bins[:-1], hist)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "24aa1cfc",
+   "metadata": {},
+   "source": [
+    "### Filtering Units\n",
+    "It might be of interest to only examine units with certain properties. They can be selected based on any metric with pandas syntax. Below, only units with a 'good' quality signal-to-noise ratio are chosen, along with a few other choices."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "4388f18c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(1852, 29)"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "selected_units = units[units.quality == 'good']\n",
+    "# selected_units = units[units.firing_rate > 5]\n",
+    "# selected_units = units[units.cumulative_drift < 200]\n",
+    "selected_units.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "44250b4b",
+   "metadata": {},
+   "source": [
+    "### Showing Spike Times\n",
+    "Here, a histogram plot of unit spikes over time is created. In the second cell below, set `stim_time` to be the time of the stimulus you're interested in viewing. To get an idea of the stimulus times you might be interested in, access one of the tables in the `Intervals` section, discussed above in **Extracting Unit Data and Stimulus Data**.  The first cell below shows how to access these. Set `interval_start` and `interval_end` to the relative time bounds, in seconds, of the histogram around `stim_time`. Finally, `start_unit` and `end_unit` can be used to choose the slice indices of `selected_units` to display. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "5569bac3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stim_time = 2000 # arbitrarily chosen here\n",
+    "interval_start = -0.1\n",
+    "interval_end = 5\n",
+    "\n",
+    "start_unit = 0\n",
+    "end_unit = 400"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "4cfaebe2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "400"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "spike_times = [elem for elem in selected_units.spike_times[start_unit:end_unit]]\n",
+    "if len(spike_times) == 0:\n",
+    "    raise Exception(\"There are no spiking units in this selection\")\n",
+    "len(spike_times)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "d1488828",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(400, 199)"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# for each unit, generate a histogram with 200 bins, where bins represent the number spikes per second\n",
+    "time_bin_edges = np.linspace(interval_start, interval_end, 200)\n",
+    "hists = []\n",
+    "for unit_spike_times in spike_times:\n",
+    "    hist, bins = np.histogram(unit_spike_times-stim_time, bins=time_bin_edges)\n",
+    "    hists.append(hist)\n",
+    "hists = np.array(hists)\n",
+    "\n",
+    "hists.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "3fe22c0d",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'unit spikes over time')"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1600x1600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# display array of histograms as 2D image with color\n",
+    "fig, ax = plt.subplots(figsize=(16,16))\n",
+    "img = ax.imshow(hists)\n",
+    "cbar = plt.colorbar(img, shrink=0.5)\n",
+    "cbar.set_label('# spikes')\n",
+    "\n",
+    "ax.yaxis.set_major_locator(plt.NullLocator())\n",
+    "ax.set_ylabel(\"units\", fontsize=16)\n",
+    "\n",
+    "xtick_step=20\n",
+    "reltime = np.array(time_bin_edges)\n",
+    "ax.set_xticks(np.arange(0, len(reltime), xtick_step))\n",
+    "ax.set_xticklabels([f'{mp:1.3f}' for mp in reltime[::xtick_step]], rotation=45)\n",
+    "\n",
+    "ax.set_xlabel(\"time since stimulus event\", fontsize=16)\n",
+    "ax.set_title(\"unit spikes over time\", fontsize=20)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "34a45648",
+   "metadata": {},
+   "source": [
+    "### Waveforms\n",
+    "The `Units` table can also be used to view the waveforms of a units with the `waveform_mean` property, which consists of the mean waveform of that unit as measured by each channel along the probe. One channel will contain the peak waveform. With a bit of legwork, the `peak_channel_id` of the unit and the `Electrodes` section can be used to get the single peak waveform as shown below. There is also a timewise and channelwise view of all the mean waveforms and an average of the waveforms across all channels. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "32fd8345",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "unit_num = 950921187"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e4658307",
+   "metadata": {},
+   "source": [
+    "#### Peak waveform"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "b01f1b67",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# use peak_channel_id to fetch the peak waveform index from electrodes table\n",
+    "peak_channel_id = units.peak_channel_id[unit_num]\n",
+    "electrodes = nwb.electrodes.to_dataframe()\n",
+    "local_index = electrodes.loc[peak_channel_id].local_index\n",
+    "peak_waveform = units.waveform_mean[unit_num][local_index]\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(10,6))\n",
+    "ax.plot(peak_waveform)\n",
+    "\n",
+    "ax.set_xlabel(\"time (s)\")\n",
+    "ax.set_ylabel(\"membrane potential (uV)\")\n",
+    "ax.set_title(\"unit peak waveform\", fontsize=20)\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cc66a18f",
+   "metadata": {},
+   "source": [
+    "#### Time-wise waveforms"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "c8dd3ee0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1000x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(10,6))\n",
+    "colors = plt.cm.viridis(np.linspace(0, 1, len(units.waveform_mean[unit_num])))\n",
+    "ax.set_prop_cycle(color=colors)\n",
+    "ax.plot(np.transpose(units.waveform_mean[unit_num]))\n",
+    "\n",
+    "norm = mpl.colors.Normalize(vmin=0, vmax=len(colors))\n",
+    "cb = fig.colorbar(mpl.cm.ScalarMappable(norm=norm), ax=ax, label='channel #')\n",
+    "\n",
+    "ax.set_xlabel(\"time (s)\")\n",
+    "ax.set_ylabel(\"membrane potential (uV)\")\n",
+    "ax.set_title(\"unit waveforms\", fontsize=20)\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "655d111e",
+   "metadata": {},
+   "source": [
+    "#### Channel-wise waveforms"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "93e89bc5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1000x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(10,6))\n",
+    "colors = plt.cm.viridis(np.linspace(0, 1, len(np.transpose(units.waveform_mean[unit_num])) ))\n",
+    "ax.set_prop_cycle(color=colors)\n",
+    "ax.plot(units.waveform_mean[unit_num])\n",
+    "\n",
+    "norm = mpl.colors.Normalize(vmin=0, vmax=len(colors))\n",
+    "cb = fig.colorbar(mpl.cm.ScalarMappable(norm=norm), ax=ax, label='time (s)')\n",
+    "\n",
+    "ax.set_xlabel(\"channel #\")\n",
+    "ax.set_ylabel(\"membrane potential (uV)\")\n",
+    "ax.set_title(\"unit waveforms by channel\", fontsize=20)\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3bf4ee68",
+   "metadata": {},
+   "source": [
+    "#### Average waveform across channels"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "7d88c6c6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(82,)"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "avg_waveform = np.average(units.waveform_mean[unit_num],axis=0)\n",
+    "avg_waveform.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "4ae54d56",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "ax.plot(avg_waveform)\n",
+    "\n",
+    "ax.set_xlabel(\"time (s)\")\n",
+    "ax.set_ylabel(\"membrane potential (uV)\")\n",
+    "ax.set_title(\"average unit waveform\", fontsize=20)\n",
+    "\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
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+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
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+   "pygments_lexer": "ipython3",
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+ "nbformat_minor": 5
+}