{ "cells": [ { "attachments": {}, "cell_type": "markdown", "id": "55b31aa4", "metadata": {}, "source": [ "# Tutorial: Auditory Stimuli Inputs using FilterNet\n", "\n", "* Allows users to use audio wav files as stimuli for virtual neurons with filters that detect spectral and temporal modulation\n", "\n", "* Users need to install pycochleagram to run this\n", "https://github.com/mcdermottLab/pycochleagram\n", "https://readthedocs.org/projects/pycochleagram/\n", "\n", "In the first part of the tutorial, we will make a simple auditory filter virtual neuron. For convenience, we will clone it five times to simulate 5 trials for the creation of a peristimulus time histogram.\n" ] }, { "cell_type": "code", "execution_count": null, "id": "741ff9f8-2287-485e-a7cd-1c7b1c2bf4ff", "metadata": { "scrolled": true }, "outputs": [], "source": [ "import numpy as np\n", "from matplotlib import pyplot as plt\n", "from bmtk.builder import NetworkBuilder\n", "import shutil\n", "import os\n", "\n", "# Clear existing outputs and network files if rerunning\n", "if os.path.exists('./sim_aud/output'):\n", " shutil.rmtree('./sim_aud/output')\n", "if os.path.exists('./sim_aud/network'):\n", " shutil.rmtree('./sim_aud/network')\n", " \n", "# Add a single node and plot its properties and response to the sound \n", "\n", "net = NetworkBuilder('aud') # Initialize network called 'aud'\n", "\n", "net.add_nodes(\n", " N = 5,\n", " model_type='virtual',\n", " model_template='audmodel:AUD_filt',\n", " y = 4, # log2(center frequency/50 Hz)\n", " t_mod_freq = 5.0,\n", " sp_mod_freq = 0.0,\n", " delay = 5, # ms\n", " dynamics_params='AUD_filt_partial.json',\n", " plot_filt = True\n", ")\n", "\n", "# Create and save the network\n", "net.build()\n", "net.save_nodes(output_dir='sim_aud/network')\n", "\n", "from bmtk.utils.sim_setup import build_env_filternet\n", "\n", "build_env_filternet(\n", " base_dir='sim_aud', \n", " network_dir='sim_aud/network', \n", " tstop=3000.0, # run the simulation for 3 seconds \n", " include_examples=True) # includes example model files which we'll use in this tutorial\n", " \n", "from bmtk.simulator import filternet\n", "\n", "config = filternet.Config.from_json('sim_aud/config.json')\n", "config.build_env()\n", "net = filternet.FilterNetwork.from_config(config)\n", "sim = filternet.FilterSimulator.from_config(config, net)\n", "sim.run()" ] }, { "cell_type": "code", "execution_count": null, "id": "889c4ece-f385-4647-8d19-e653e6b4beac", "metadata": {}, "outputs": [], "source": [ "from bmtk.analyzer.spike_trains import plot_raster\n", "from scipy import signal\n", "from scipy.io import wavfile\n", "\n", "fig, ax0 = plt.subplots(1, 1, figsize = (6,4.5),sharex=True)\n", "\n", "sample_rate, samples = wavfile.read('sim_aud/audio/sa1.wav')\n", "frequencies, times, spectrogram = signal.spectrogram(samples, sample_rate)\n", "\n", "ax0.pcolormesh(times*1000, frequencies/1000, np.log(spectrogram))\n", "ax0.set_ylabel('Frequency [kHz]')\n", "ax0.set_xlabel('Time [ms]')\n", "ax0.set_xlim((0,3000))\n", "\n", "figr = plot_raster(config_file='sim_aud/config.json', group_by='model_template')\n", "figr.set_figwidth(6)" ] }, { "cell_type": "markdown", "id": "11fdf5b3", "metadata": {}, "source": [ "Let's take a look in the simulation_config.json file, where the stimulus is controlled:\n", "\n", "```json\n", "\"inputs\": {\n", " \"movie\": {\n", " \"input_type\": \"audio\",\n", " \"module\": \"wav_file\",\n", " \"data_file\": \"$BASE_DIR/audio/sa1.wav\",\n", " \"normalize\": \"full\",\n", " \"interp_to_freq\": true,\n", " \"padding\": \"edge\"\n", " }\n", "}\n", "``` \n", "\n", "To change the stimulus to a WAV file of your choice, point to the relative path of the file under \"data_file\". " ] }, { "attachments": {}, "cell_type": "markdown", "id": "b6c384b8", "metadata": {}, "source": [ "The filter carrier consists of a sinusoidal modulation in 2D akin to a plane wave. This carrier is multiplied by a Gaussian envelope in the spectral axis and an asymmetric scaled gamma distribution function in the temporal axis to allow for faster onset of responses and a slower tail decay. \n", "\n", "Filters with very little spectral modulation have a \"vertical\" appearance and respond preferentially to broadband temporal edges such as sound onsets. Filters with very little temporal modulation have a \"horizontal\" appearance and respond preferentially to sustained spectral edges. If the nodes are ordered by their center frequencies, we can construct different \"views\" of the stimulus (speech in this case) through these different types of filters.\n", "\n", "
\n", "\n", "
\n", "\n", "![Responses](_static/_tutorial_images/Responses_to_diff_scales_and_orientations.png)" ] }, { "cell_type": "markdown", "id": "6480e56d", "metadata": {}, "source": [ "Now we will build a larger bank of filters with randomly assigned properties. Beware that if n_filts is set larger, the code could take a long time to run in the notebook." ] }, { "cell_type": "code", "execution_count": null, "id": "7d0e5bd8-248f-4a79-b7c8-c5ba09663b18", "metadata": {}, "outputs": [], "source": [ "n_filts = 100\n", "\n", "# Frequency range\n", "freq_range = np.array([50, 8000]) # min and max center frequencies in Hz\n", "\n", "# Convert to log scale relative to min frequency\n", "logCF_range = np.log2(freq_range/freq_range[0]) \n", "\n", "# Randomly distribute center frequencies with log uniform distribution\n", "logCF_list = np.random.uniform(logCF_range[0], logCF_range[1], size = n_filts)\n", "\n", "# Sort nodes by ascending center frequency just to facilitate plotting display\n", "logCF_list = np.sort(logCF_list)\n", "\n", "# Best Temporal Modulation Frequencies\n", "tmod_freq_range = [0.5, 32] # min and max temporal modulation rate in Hz\n", "tmod_list = np.exp(np.random.uniform(np.log(tmod_freq_range[0]), \n", " np.log(tmod_freq_range[1]),\n", " size = n_filts))\n", "\n", "# Best Spectral Modulation Frequencies\n", "spmod_freq_range = [0.125, 2] # min and max spectral modulation rate in Hz\n", "spmod_list = np.exp(np.random.uniform(np.log(spmod_freq_range[0]), \n", " np.log(spmod_freq_range[1]),\n", " size = n_filts))\n", "\n", "# Clear existing outputs and network files if rerunning\n", "if os.path.exists('./sim_aud/output'):\n", " shutil.rmtree('./sim_aud/output')\n", "if os.path.exists('./sim_aud/network'):\n", " shutil.rmtree('./sim_aud/network')\n", " \n", "# Add a single node and plot its properties and response to the sound \n", "\n", "net = NetworkBuilder('aud') # Initialize network called 'aud'\n", "\n", "net.add_nodes(\n", " N = n_filts,\n", " model_type='virtual',\n", " model_template='audmodel:AUD_filt',\n", " y = logCF_list,\n", " t_mod_freq = tmod_list,\n", " sp_mod_freq = spmod_list,\n", " delay = 5, # ms\n", " dynamics_params='AUD_filt_partial.json',\n", " plot_filt = True\n", ")\n", "\n", "# Create and save the network\n", "net.build()\n", "net.save_nodes(output_dir='sim_aud/network')\n", "\n", "# Run simulation - this can be slow...\n", "config = filternet.Config.from_json('sim_aud/config.json')\n", "config.build_env()\n", "net = filternet.FilterNetwork.from_config(config)\n", "sim = filternet.FilterSimulator.from_config(config, net)\n", "sim.run()" ] }, { "cell_type": "code", "execution_count": 4, "id": "ead40362", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/tmp/ipykernel_350175/4265489158.py:10: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3. Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading']. This will become an error two minor releases later.\n", " ax0.pcolormesh(times*1000, frequencies/1000, np.log(spectrogram))\n" ] }, { "data": { "image/png": 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", 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from bmtk.analyzer.spike_trains import plot_raster\n", "from scipy import signal\n", "from scipy.io import wavfile\n", "\n", "fig, ax0 = plt.subplots(1, 1, figsize = (6,3.5), sharex=True)\n", "\n", "sample_rate, samples = wavfile.read('sim_aud/audio/sa1.wav')\n", "frequencies, times, spectrogram = signal.spectrogram(samples, sample_rate)\n", "\n", "ax0.pcolormesh(times*1000, frequencies/1000, np.log(spectrogram))\n", "ax0.set_ylabel('Frequency [kHz]')\n", "ax0.set_xlabel('Time [ms]')\n", "ax0.set_xlim((0,3000))\n", "\n", "figr = plot_raster(config_file='sim_aud/config.json', group_by='model_template')\n", "figr.set_figwidth(6)" ] }, { "cell_type": "code", "execution_count": null, "id": "4656d736", "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": "3.10.13" }, "vscode": { "interpreter": { "hash": "767fe8696c8cc962c70a6cd3747f62506fbf52c40c2686ade3fa95a1ca22d7e7" } } }, "nbformat": 4, "nbformat_minor": 5 }