template for Hopfield Network Assignment

Author: jeremymanning

content/assignments/Assignment_1:Hopfield_Networks/hopfield_assignment_template.ipynb

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+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/ContextLab/memory-models-course/blob/main/content/assignments/Assignment_1%3AHopfield_Networks/hopfield_assignment_template.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "4112dba2",
+      "metadata": {
+        "id": "4112dba2"
+      },
+      "source": [
+        "# Assignment 1: Hopfield Networks\n",
+        "\n",
+        "This notebook provides a suggested starter template for completing the [Hopfield network assignment](https://contextlab.github.io/memory-models-course/assignments/Assignment_1%3AHopfield_Networks/README.html).\n",
+        "\n",
+        "You should submit your assignment by uploading your completed notebook to [Canvas](https://canvas.dartmouth.edu/courses/71051/assignments/517353).  Please ensure that your notebook runs without errors in [Google Colaborator](https://colab.research.google.com/)."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "13a772fc",
+      "metadata": {
+        "id": "13a772fc"
+      },
+      "source": [
+        "## Setup\n",
+        "\n",
+        "Import necessary libraries and define helper functions."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "3487ab4e",
+      "metadata": {
+        "id": "3487ab4e"
+      },
+      "outputs": [],
+      "source": [
+        "import numpy as np\n",
+        "import matplotlib.pyplot as plt\n",
+        "\n",
+        "# Define any helper functions here"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "a38cd155",
+      "metadata": {
+        "id": "a38cd155"
+      },
+      "source": [
+        "## Task 1: Memory Storage and Retrieval\n",
+        "\n",
+        "Implement the Hebbian learning rule and update dynamics."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "49999427",
+      "metadata": {
+        "id": "49999427"
+      },
+      "outputs": [],
+      "source": [
+        "# TODO: Implement memory storage (Hebbian rule) and retrieval update rule here"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "ea862e41",
+      "metadata": {
+        "id": "ea862e41"
+      },
+      "source": [
+        "## Task 2: Small Network Test\n",
+        "\n",
+        "Use a small network with $N = 5$ to test memory storage and retrieval."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "3e5fb216",
+      "metadata": {
+        "id": "3e5fb216"
+      },
+      "outputs": [],
+      "source": [
+        "# TODO: Encode and test small network with noisy inputs"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "5c170918",
+      "metadata": {
+        "id": "5c170918"
+      },
+      "source": [
+        "## Task 3: Evaluate Storage Capacity\n",
+        "\n",
+        "Test how performance varies with network size and number of memories."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "97192fac",
+      "metadata": {
+        "id": "97192fac"
+      },
+      "outputs": [],
+      "source": [
+        "# TODO: Run multiple trials and generate heatmap + expectation plot"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "84937332",
+      "metadata": {
+        "id": "84937332"
+      },
+      "source": [
+        "## Task 4: Cued Recall\n",
+        "\n",
+        "Simulate associative memory with cue-response pairs."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "51395b97",
+      "metadata": {
+        "id": "51395b97"
+      },
+      "outputs": [],
+      "source": [
+        "# TODO: Implement A-B memory pairs and test cued retrieval"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "76339e63",
+      "metadata": {
+        "id": "76339e63"
+      },
+      "source": [
+        "## Task 5: Contextual Drift\n",
+        "\n",
+        "Simulate sequential memories with gradually shifting contexts."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "be69a9df",
+      "metadata": {
+        "id": "be69a9df"
+      },
+      "outputs": [],
+      "source": [
+        "# TODO: Implement drifting context memory and analyze retrieval bias"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "43278d97",
+      "metadata": {
+        "id": "43278d97"
+      },
+      "source": [
+        "## Discussion\n",
+        "\n",
+        "Summarize your findings, observations, and any interesting results."
+      ]
+    }
+  ],
+  "metadata": {
+    "language_info": {
+      "name": "python"
+    },
+    "colab": {
+      "provenance": [],
+      "include_colab_link": true
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 5
+}