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    "# MNE: Experiment Name\n",
    "\n",
    "\n",
    "Lead authors: First Name Last Name <email>\n",
    "\n",
    "- Description of experiment\n",
    "The `Experiment Name` code experiment in `Used Coding Library` can be found here:\n",
    "\n",
    "[Experiment Name Code](https://www.google.com)"
   ]
  },
  {
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   "id": "b316439776c43a9c",
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   "source": [
    "## Importing data \n",
    "\n",
    "The data used in this notebook is hosted on `NYU BOX`. Permissions are given upon request.\n",
    "\n",
    "- Install the BOX app from [here](https://www.box.com/resources/downloads)\n",
    "- Set an environment variable with name `MEG_DATA` to the path of the Data folder e.g.,\n",
    "    - `C:\\Users\\user_name\\Box\\MEG\\Data`\n",
    "    - or `C:\\Users\\user_name\\Box\\Data\n",
    "\n",
    "## MNE setup\n",
    "\n",
    "\n",
    "Make sure that:\n",
    "- MNE is installed in MATLAB\n",
    "- MNE 1.10.2 version has been used for this notebook\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "628d494b81032095",
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   "source": [
    "Example for KIT\n",
    "\n",
    "Each experiment run using the KIT system generates a `.con` file and two or more .mrk files.\n"
   ]
  },
  {
   "cell_type": "markdown",
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    "Example for OPM\n",
    "\n",
    "Each experiment run using the OPM system generates a `.fif` file. We will work with the `.fif` generated by the Fieldline OPM file set below, the .fif file contains all sensor measurements during the experiments and trigger channels data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea59b301",
   "metadata": {},
   "source": [
    "## Spatio-temporal clustering using MNE "
   ]
  }
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