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fig3/fig3.ipynb

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"# make sure you have fig3.py in this same folder\n",
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"import fig3 \n",
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"\n",
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"# evals37_final.npz contains the results of the analyses and it can be produced \n",
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"# by running data_analysis_fig3.ipynb\n",
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"# evals37.npz contains the results of the analyses \n",
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"evals = np.load(r'../results/evals37.npz', allow_pickle=True)['evals']\n",
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"evals = list(evals)\n",
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"\n",

fig3/other_datasets.ipynb

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"source": [
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"# M1/PMd\n",
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"!dandi download https://gui.dandiarchive.org/#/dandiset/000128\n",
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"!dandi download https://gui.dandiarchive.org/#/dandiset/000138\n",
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"!dandi download https://gui.dandiarchive.org/#/dandiset/000139\n",
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"!dandi download https://gui.dandiarchive.org/#/dandiset/000140\n",
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"other_datasets.mc_maze()"
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]
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},

fig5/fig5.ipynb

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fig5/fig5_1.png

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fig5/fig5_2.png

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fig5/fig5_3.png

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fig5/fig5_4.png

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fig5/fig5_raster1.npz

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fig5/fig5_raster2.npz

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