{ "cells": [ { "cell_type": "markdown", "id": "57a6fc24", "metadata": {}, "source": [ "## Mismatch response (MMR) as a measure of stimulus change" ] }, { "cell_type": "code", "execution_count": 2, "id": "08a235ca", "metadata": {}, "outputs": [], "source": [ "# introduce MMR" ] }, { "cell_type": "markdown", "id": "675fcd2e", "metadata": {}, "source": [ "## MMR response depending on P1, N1, P2 and P3 states" ] }, { "cell_type": "code", "execution_count": 3, "id": "033b6507", "metadata": {}, "outputs": [], "source": [ "# show examples for individual session\n", "# compute across sessions?" ] }, { "cell_type": "markdown", "id": "af381ac6", "metadata": {}, "source": [ "## Behavioral relevance of the MMR for performance in SIT" ] }, { "cell_type": "code", "execution_count": 4, "id": "4de99e39", "metadata": {}, "outputs": [], "source": [ "# compute..." ] }, { "cell_type": "code", "execution_count": null, "id": "d287fdfa", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.10" } }, "nbformat": 4, "nbformat_minor": 5 }