Biological Learning Example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import scipy.io\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "mat = scipy.io.loadmat('mnist_all.mat')\n",
    "\n",
    "Nc=10\n",
    "N=784\n",
    "Ns=60000\n",
    "M=np.zeros((0,N))\n",
    "for i in range(Nc):\n",
    "    M=np.concatenate((M, mat['train'+str(i)]), axis=0)\n",
    "M=M/255.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def draw_weights(synapses, Kx, Ky):\n",
    "    yy=0\n",
    "    HM=np.zeros((28*Ky,28*Kx))\n",
    "    for y in range(Ky):\n",
    "        for x in range(Kx):\n",
    "            HM[y*28:(y+1)*28,x*28:(x+1)*28]=synapses[yy,:].reshape(28,28)\n",
    "            yy += 1\n",
    "    plt.clf()\n",
    "    nc=np.amax(np.absolute(HM))\n",
    "    im=plt.imshow(HM,cmap='bwr',vmin=-nc,vmax=nc)\n",
    "    fig.colorbar(im,ticks=[np.amin(HM), 0, np.amax(HM)])\n",
    "    plt.axis('off')\n",
    "    fig.canvas.draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "eps0=2e-2    # learning rate\n",
    "Kx=10\n",
    "Ky=10\n",
    "hid=Kx*Ky    # number of hidden units that are displayed in Ky by Kx array\n",
    "mu=0.0\n",
    "sigma=1.0\n",
    "Nep=200      # number of epochs\n",
    "Num=100      # size of the minibatch\n",
    "prec=1e-30\n",
    "delta=0.4    # Strength of the anti-hebbian learning\n",
    "p=2.0        # Lebesgue norm of the weights\n",
    "k=2          # ranking parameter, must be integer that is bigger or equal than 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
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       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
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       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
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       "        return fig.key_event(event, event['data']);\n",
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       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
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       "            pass_mouse_events = false;\n",
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       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
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       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
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       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
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       "\n",
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       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
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       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
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       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
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       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
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       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
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       "\n",
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       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
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     "output_type": "display_data"
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    }
   ],
   "source": [
    "\n",
    "%matplotlib inline\n",
    "%matplotlib notebook\n",
    "fig=plt.figure(figsize=(12.9,10))\n",
    "\n",
    "synapses = np.random.normal(mu, sigma, (hid, N))\n",
    "for nep in range(Nep):\n",
    "    eps=eps0*(1-nep/Nep)\n",
    "    M=M[np.random.permutation(Ns),:]\n",
    "    for i in range(Ns//Num):\n",
    "        inputs=np.transpose(M[i*Num:(i+1)*Num,:])\n",
    "        sig=np.sign(synapses)\n",
    "        tot_input=np.dot(sig*np.absolute(synapses)**(p-1),inputs)\n",
    "        \n",
    "        y=np.argsort(tot_input,axis=0)\n",
    "        yl=np.zeros((hid,Num))\n",
    "        yl[y[hid-1,:],np.arange(Num)]=1.0\n",
    "        yl[y[hid-k],np.arange(Num)]=-delta\n",
    "        \n",
    "        xx=np.sum(np.multiply(yl,tot_input),1)\n",
    "        ds=np.dot(yl,np.transpose(inputs)) - np.multiply(np.tile(xx.reshape(xx.shape[0],1),(1,N)),synapses)\n",
    "        \n",
    "        nc=np.amax(np.absolute(ds))\n",
    "        if nc<prec:\n",
    "            nc=prec\n",
    "        synapses += eps*np.true_divide(ds,nc)\n",
    "        \n",
    "    draw_weights(synapses, Kx, Ky)\n",
    "    print(nep)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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