{
"metadata": {
"name": "",
"signature": "sha256:fbcd58473f0b01a3cb54f57cc3a5a972808faadd42a70c9d8cf38b5739582f7c"
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Brain Observatory Stimuli\n",
"The next few sections will describe how to understand the various stimulus tables present in the NWB file. First, here is a function we can use to plot when a given stimulus condition is on the screen. We'll use this further down.\n",
"\n",
"Download this notebook in .ipynb format here."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import matplotlib.pyplot as plt\n",
"import matplotlib.patches as patches\n",
"%matplotlib inline\n",
"\n",
"def plot_stimulus_table(stim_table, title):\n",
" fstart = stim_table.start.min()\n",
" fend = stim_table.end.max()\n",
" \n",
" fig = plt.figure(figsize=(15,1))\n",
" ax = fig.gca()\n",
" for i, trial in stim_table.iterrows(): \n",
" x1 = float(trial.start - fstart) / (fend - fstart)\n",
" x2 = float(trial.end - fstart) / (fend - fstart) \n",
" ax.add_patch(patches.Rectangle((x1, 0.0), x2 - x1, 1.0, color='r'))\n",
" ax.set_xticks((0,1))\n",
" ax.set_xticklabels((fstart, fend))\n",
" ax.set_yticks(())\n",
" ax.set_title(title)\n",
" ax.set_xlabel(\"frames\")"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Drifting Gratings\n",
"The drifting gratings stimulus describes the temporal frequency and direction of motion of the displayed grating. We can use this information to figure out when a given stimulus condition (temporal frequency + orientation) is visible during the experiment."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from allensdk.core.brain_observatory_cache import BrainObservatoryCache\n",
"boc = BrainObservatoryCache(manifest_file='boc/manifest.json')\n",
"data_set = boc.get_ophys_experiment_data(501940850)\n",
"\n",
"# this is a pandas DataFrame. find trials with a given stimulus condition.\n",
"temporal_frequency = 4\n",
"orientation = 225\n",
"stim_table = data_set.get_stimulus_table('drifting_gratings')\n",
"stim_table = stim_table[(stim_table.temporal_frequency == temporal_frequency) & (stim_table.orientation == orientation)]\n",
"\n",
"# plot the trials\n",
"plot_stimulus_table(stim_table, \"TF %d ORI %d\" % (temporal_frequency, orientation))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stderr",
"text": [
"WARNING:allensdk.api.queries.brain_observatory_api:Downloading ophys_experiment 501940850 NWB. This can take some time.\n"
]
},
{
"metadata": {},
"output_type": "display_data",
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"text": [
""
]
}
],
"prompt_number": 2
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Static Gratings Stimulus\n",
"This stimulus table is very similar to the drifting grating stimulus table. Static gratings have three parameters: spatial frequency, orientation, and phase. We can make a similar plot to identify frame ranges with a given paramerization."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data_set = boc.get_ophys_experiment_data(501498760)\n",
"\n",
"# this is a pandas DataFrame. find trials with a given stimulus condition.\n",
"spatial_frequency = 0.02\n",
"orientation = 30\n",
"phase = 0.0\n",
"stim_table = data_set.get_stimulus_table('static_gratings')\n",
"stim_table = stim_table[(stim_table.spatial_frequency == spatial_frequency) & \\\n",
" (stim_table.orientation == orientation) & \\\n",
" (stim_table.phase == phase) ]\n",
"\n",
"# plot the trials\n",
"plot_stimulus_table(stim_table, \"SF %.02f ORI %d Phase %.02f\" % (spatial_frequency, orientation, phase))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stderr",
"text": [
"WARNING:allensdk.api.queries.brain_observatory_api:Downloading ophys_experiment 501498760 NWB. This can take some time.\n"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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g6CSfBU6uqt+siwFJknRXMrhJkoZkZe/964Grq+rAJOsBN/WW3dx7v7r3eTW3/W0L8Jiq\n+tPINo5M8nXgWcAZSZ5RVRfdZSOQJGkd8B43SdJQbQb8tr1/GbDeLNc/DVgw9SHJ7u3f7atqcVW9\nH/gJsNNdsK+SJK1TBjdJ0lyrMe8/AhyU5Fy6cLViTL/RWlPLFgB7JDkvyWLgFa39tUnOT3Ie8Cfg\nW3d2AJIkrWs+nESSJEmSBs4ZN0mSJEkaOIObJEmSJA2cwU2SJEmSBs7gJkmSJEkDZ3CTJEmSpIEz\nuEmSJEnSwBncJEmSJGngDG6SJEmSNHD/B7xUpA0WdgwqAAAAAElFTkSuQmCC\n",
"text": [
""
]
}
],
"prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Natural Scenes Stimulus\n",
"The natural scene stimulus is simply a series of static images. The natural scene template section of the NWB file contains the array of images."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data_set = boc.get_ophys_experiment_data(501498760)\n",
"\n",
"scene_nums = [4, 83]\n",
"\n",
"# read in the array of images\n",
"scenes = data_set.get_stimulus_template('natural_scenes')\n",
"\n",
"# display a couple of the scenes\n",
"fig, axes = plt.subplots(1,len(scene_nums))\n",
"for ax,scene in zip(axes, scene_nums):\n",
" ax.imshow(scenes[scene,:,:], cmap='gray')\n",
" ax.set_axis_off()\n",
" ax.set_title('scene %d' % scene)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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np4fVq1fT399PJBJRmmyhkcRZ3XzzzdjtdvLz8/nwww85evQoBoOB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"text": [
""
]
}
],
"prompt_number": 4
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The natural scenes stimulus table just describes when a given scene is on the screen. We can use this to find when the images above are visible."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data_set = boc.get_ophys_experiment_data(501498760)\n",
"\n",
"# the natural scenes stimulus table describes when each scene is on the screen\n",
"stim_table = data_set.get_stimulus_table('natural_scenes')\n",
"\n",
"# build up a mask of trials for which one of a list of scenes is visible\n",
"trial_mask = stim_table.frame == -2\n",
"for scene in scene_nums:\n",
" trial_mask |= (stim_table.frame == scene)\n",
"stim_table = stim_table[trial_mask]\n",
"\n",
"# plot the trials\n",
"plot_stimulus_table(stim_table, \"scenes %s \" % scene_nums)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAA3EAAAByCAYAAAD9CFh/AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nJEmSpA4xxEmSJElShxjiJEmSJKlD/gd4ESIObKMXmgAAAABJRU5ErkJggg==\n",
"text": [
""
]
}
],
"prompt_number": 5
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Natural Movie Stimulus\n",
"The natural movie stimulus is very similar to the natural scene stimulus in terms of data structures. Let's take a look at one frame of the \"natural_movie_one\" clip."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data_set = boc.get_ophys_experiment_data(501498760)\n",
"\n",
"# read in the natural movie one clip\n",
"movie = data_set.get_stimulus_template('natural_movie_one')\n",
"\n",
"# display a random frame for reference\n",
"frame = 200\n",
"plt.imshow(movie[frame,:,:], cmap='gray')\n",
"plt.axis('off')\n",
"plt.title('frame %d' % frame)\n",
"plt.show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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ciOswouu9DQkSZeY6fd8Lb9oImo9QfhgxEsBcNxgMivNBv7w2NZz9VZRengdH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OAAAg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\nnvF8Nm+hL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"text": [
""
]
}
],
"prompt_number": 6
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can now take a look at the stimulus table to see when a given frame (or range of frames) is played to the mouse. Here you can see that there are 10 repetitions of the video."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data_set = boc.get_ophys_experiment_data(501498760)\n",
"\n",
"# read in the stimulus table, which describes when a given frame is displayed\n",
"stim_table = data_set.get_stimulus_table('natural_movie_one')\n",
"\n",
"# find out when a particular frame range is displayed\n",
"frame_range = [ 100, 120 ]\n",
"stim_table = stim_table[(stim_table.frame >= frame_range[0]) & (stim_table.frame <= frame_range[1])]\n",
"\n",
"plot_stimulus_table(stim_table, \"frames %d -> %d \" % (frame_range[0], frame_range[1]))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAA3EAAAByCAYAAAD9CFh/AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAASUVORK5CYII=\n",
"text": [
""
]
}
],
"prompt_number": 7
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Locally Sparse Noise Stimulus\n",
"This is essentially a 28x16 pixel movie, so it is again similar to the natural movie and natural scene stimuli. One extra complication is that a nontrivial number of pixels from the movie are pushed off screen after warping the stimulus, so we provide some helper utilities to identify these pixels."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data_set = boc.get_ophys_experiment_data(505693621)\n",
"\n",
"# read in the locally sparse noise stimulus movie. \n",
"# the 'mask_offscreen' argument will set off-screen grid locations to LocallySparseNoise.LSN_OFF_SCREEN\n",
"lsn_movie, offscreen_mask = data_set.get_locally_sparse_noise_stimulus_template('locally_sparse_noise',\n",
" mask_off_screen=True)\n",
"\n",
"# show a single frame of the stimulus for reference\n",
"frame = 200\n",
"plt.imshow(lsn_movie[frame,:,:], cmap='gray', interpolation='nearest')\n",
"plt.axis('off')\n",
"plt.title('frame %d' % frame)\n",
"plt.show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAWwAAADqCAYAAACGAX/IAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/m29wAAAAABJRU5ErkJggg==\n",
"text": [
""
]
}
],
"prompt_number": 10
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can now take a look at the movie to determine the frame numbers for which a given grid location is 'on' or 'off' in the movie."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import numpy as np\n",
"from allensdk.brain_observatory.locally_sparse_noise import LocallySparseNoise\n",
"\n",
"# find frames at a given grid location that are 'on'\n",
"loc = (10,15)\n",
"on_frames = np.where(lsn_movie[:,loc[0],loc[1]] == LocallySparseNoise.LSN_ON)[0]\n",
"\n",
"# pull these trials out of the stimulus table\n",
"stim_table = data_set.get_stimulus_table('locally_sparse_noise')\n",
"stim_table = stim_table.loc[on_frames]\n",
"\n",
"plot_stimulus_table(stim_table, \"loc (%d,%d) \" % loc)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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"text": [
""
]
}
],
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}
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}