{ "cells": [ { "cell_type": "markdown", "id": "viz-01", "metadata": {}, "source": "# Synthetic evoked-response visualization workflow\n\nThis example builds a continuous recording with repeatable evoked responses, configures stimulus trials and baseline timing, and produces overview, focused, and customized Matplotlib figures.\n\n**Prerequisites:** install `vneurotk[viz,notebook]`. Everything below is deterministic and offline. The `viz` module plots neural recordings; it does not run the DNN vision models provided by `vneurotk.vision`." }, { "cell_type": "markdown", "id": "viz-02", "metadata": {}, "source": [ "## Synthesize a recording\n", "\n", "The signal combines low-amplitude oscillations with a stimulus-locked Gaussian response. Two stimulus categories use different channel profiles, making their evoked activity visible without downloading data." ] }, { "cell_type": "code", "execution_count": 1, "id": "viz-03", "metadata": { "execution": { "iopub.execute_input": "2026-08-02T13:11:15.588178Z", "iopub.status.busy": "2026-08-02T13:11:15.587988Z", "iopub.status.idle": "2026-08-02T13:11:16.567264Z", "shell.execute_reply": "2026-08-02T13:11:16.566303Z" } }, "outputs": [], "source": [ "import numpy as np\n", "from loguru import logger\n", "\n", "import vneurotk as vtk\n", "\n", "logger.remove()\n", "\n", "sfreq = 100.0\n", "n_samples = 700\n", "times = np.arange(n_samples) / sfreq\n", "onsets = np.array([120, 330, 540])\n", "stim_ids = np.array([\"face\", \"object\", \"face\"])\n", "channel_profiles = {\n", " \"face\": np.array([1.0, 0.7, 0.2, -0.3, -0.6, -0.2]),\n", " \"object\": np.array([0.2, 0.5, 1.0, 0.7, 0.1, -0.4]),\n", "}\n", "\n", "neuro = np.column_stack(\n", " [0.08 * np.sin(2 * np.pi * (2.0 + 0.35 * channel) * times + 0.3 * channel) for channel in range(6)]\n", ")\n", "for onset, stimulus in zip(onsets, stim_ids, strict=True):\n", " latency = (np.arange(n_samples) - onset) / sfreq\n", " response = np.exp(-0.5 * ((latency - 0.22) / 0.07) ** 2)\n", " neuro += response[:, None] * channel_profiles[stimulus][None, :]\n", "\n", "recording = vtk.BaseData.for_continuous(\n", " neuro,\n", " neuro_info={\n", " \"ch_names\": [\"O1\", \"Oz\", \"O2\", \"PO3\", \"POz\", \"PO4\"],\n", " \"sfreq\": sfreq,\n", " },\n", ")" ] }, { "cell_type": "markdown", "id": "viz-04", "metadata": {}, "source": [ "## Configure stimuli and baseline\n", "\n", "The integer trial window `[-20, 70]` spans 20 baseline samples before each onset and 70 samples after it. At 100 Hz, the derived baseline is −0.20 to 0 seconds and the full trial is −0.20 to 0.70 seconds." ] }, { "cell_type": "code", "execution_count": 2, "id": "viz-05", "metadata": { "execution": { "iopub.execute_input": "2026-08-02T13:11:16.569291Z", "iopub.status.busy": "2026-08-02T13:11:16.568986Z", "iopub.status.idle": "2026-08-02T13:11:16.574417Z", "shell.execute_reply": "2026-08-02T13:11:16.573786Z" } }, "outputs": [ { "data": { "text/plain": [ "{'baseline': [-20, 0], 'trial_window': [-20, 70]}" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "recording.configure(\n", " stim_ids=stim_ids,\n", " vision_onsets=onsets,\n", " trial_window=[-20, 70],\n", ")\n", "recording.trial_info" ] }, { "cell_type": "markdown", "id": "viz-06", "metadata": {}, "source": [ "## Inspect the full experiment\n", "\n", "Integer display bounds are sample indices. The overview includes all three configured trials." ] }, { "cell_type": "code", "execution_count": 3, "id": "viz-07", "metadata": { "execution": { "iopub.execute_input": "2026-08-02T13:11:16.575819Z", "iopub.status.busy": "2026-08-02T13:11:16.575636Z", "iopub.status.idle": "2026-08-02T13:11:17.201539Z", "shell.execute_reply": "2026-08-02T13:11:17.200212Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "overview_figure = recording.plot(window=(0, 700), figsize=(9, 4.5))\n", "overview_figure" ] }, { "cell_type": "markdown", "id": "viz-08", "metadata": {}, "source": [ "## Focus on one evoked response\n", "\n", "Non-integral float bounds are seconds. This 2.9–4.1 second view isolates the object trial while retaining its baseline and response." ] }, { "cell_type": "code", "execution_count": 4, "id": "viz-09", "metadata": { "execution": { "iopub.execute_input": "2026-08-02T13:11:17.204263Z", "iopub.status.busy": "2026-08-02T13:11:17.204075Z", "iopub.status.idle": "2026-08-02T13:11:17.759330Z", "shell.execute_reply": "2026-08-02T13:11:17.758051Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "focused_figure = recording.plot(window=(2.9, 4.1), figsize=(8, 4))\n", "focused_figure" ] }, { "cell_type": "markdown", "id": "viz-10", "metadata": {}, "source": [ "## Customize and annotate the returned axes\n", "\n", "`BaseData.plot` returns an ordinary Matplotlib figure. Pass plotting options through the method, then find the neural-activity axis and add domain-specific annotations. The figure remains caller-owned for further edits, saving, or closing." ] }, { "cell_type": "code", "execution_count": 5, "id": "viz-11", "metadata": { "execution": { "iopub.execute_input": "2026-08-02T13:11:17.761585Z", "iopub.status.busy": "2026-08-02T13:11:17.761432Z", "iopub.status.idle": "2026-08-02T13:11:18.330878Z", "shell.execute_reply": "2026-08-02T13:11:18.329996Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "custom_figure = recording.plot(\n", " window=(4.9, 6.2),\n", " figsize=(8, 4),\n", " cmap_neuro=\"RdBu_r\",\n", " cmap_ontime=\"viridis\",\n", " color_offtime=\"0.45\",\n", " marker_size=55,\n", ")\n", "neural_axis = next(axis for axis in custom_figure.axes if axis.get_title(loc=\"left\") == \"Neural Activity\")\n", "stimulus_time = onsets[-1] / sfreq\n", "neural_axis.axvline(stimulus_time, color=\"#A23B72\", linewidth=1.5, linestyle=\"--\")\n", "neural_axis.annotate(\n", " \"stimulus onset\",\n", " xy=(stimulus_time, 5.7),\n", " xytext=(stimulus_time + 0.12, 5.25),\n", " arrowprops={\"arrowstyle\": \"->\", \"color\": \"#A23B72\"},\n", " color=\"#6F2450\",\n", " fontsize=9,\n", ")\n", "custom_figure" ] }, { "cell_type": "markdown", "id": "viz-12", "metadata": {}, "source": "The overview establishes experiment structure, the focused view checks one trial in detail, and the custom view demonstrates Matplotlib-level extension without transferring figure ownership away from the caller.\n\n## Related documentation\n\n- {doc}`Visualization usage guide <../usage/viz>`\n- {doc}`Neural-data example `\n- [Visualization API](../api/viz.md)\n- [Core data API](../api/core.md)" } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.13.13" } }, "nbformat": 4, "nbformat_minor": 5 }