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Added link to our paper.
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Louise Deason
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`dendritic_gated_network.ipynb` implements a Dendritic Gated Network (DGN) solving a regression (using quadratic loss) or a binary classification problem (using Bernoulli log loss).
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See our paper titled "A rapid and efficient learning rule for biological neural circuits" for details of the DGN model.
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See our paper titled ["A rapid and efficient learning rule for biological neural circuits"](https://www.biorxiv.org/content/10.1101/2021.03.10.434756v1) for details of the DGN model.
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### Instructions for running the `dendritic_gated_network.ipynb` colab/notebook.
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"\n",
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"This colab implements a Dendritic Gated Network (DGN) solving a regression (using quadratic loss) or a binary classification problem (using Bernoulli log loss).\n",
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"\n",
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"See our paper titled \"A rapid and efficient learning rule for biological neural circuits\" for details of the DGN model.\n",
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"See our paper titled [\"A rapid and efficient learning rule for biological neural circuits\"](https://www.biorxiv.org/content/10.1101/2021.03.10.434756v1) for details of the DGN model.\n",
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"\n",
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"\n",
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"Some implementation details:\n",
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