Spike_IO-Main.ipynb

{
 "cells": [
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    "# imports of both spynnaker and external device plugin.\n",
    "import spynnaker.pyNN as Frontend\n",
    "import spynnaker_external_devices_plugin.pyNN as ExternalDevices\n",
    "\n",
    "#######################\n",
    "# import to allow prefix type for the prefix eieio protocol\n",
    "######################\n",
    "from spynnaker_external_devices_plugin.pyNN.connections\\\n",
    "    .spynnaker_live_spikes_connection import SpynnakerLiveSpikesConnection\n",
    "\n",
    "# plotter in python\n",
    "%matplotlib notebook\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import time\n",
    "import numpy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "n_neurons = 3000\n",
    "\n",
    "run_time = 5000 # timeScaleFactor  = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
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   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Allocating virtual identifiers\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Partitioning graph vertices\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Partitioning graph edges\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Generating partitioner report\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Filtering edges\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Placing graph vertices\n",
      "|0                           50%                         100%|\n",
      " ============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================\n",
      "Generating placement report\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Generating placement by core report\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Generating SDRAM usage report\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Routing\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Allocating tags\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Reporting Tags\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Getting the number of keys required by each edge using theapplication graph\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Allocating routing keys\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Generating Routing info report\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Generating routing tables\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Generating Router table report\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Compressing routing Tables\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Generating compressed router table report\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Generating comparison of router table report\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Generating sPyNNaker data specifications\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Loading routing data onto the machine\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Clearing tags\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Loading Tags\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Executing data specifications and loading data\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Finding binaries\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Loading executables onto the machine\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Initialising buffers\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Updating run time\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Creating database\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Loading buffers (0 bytes)\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Getting spikes for pop_input\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Getting spikes for pop_output\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Getting provenance data from machine graph\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Getting provenance data\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n",
      "Getting Router Provenance\n",
      "|0                           50%                         100%|\n",
      " ============================================================\n"
     ]
    }
   ],
   "source": [
    "# initial call to set up the front end (pynn requirement)\n",
    "Frontend.setup(timestep=1.0) #, min_delay=1.0, max_delay=144.0)\n",
    "\n",
    "\n",
    "weight_to_spike = 5.0\n",
    "\n",
    "# create ORDINARY populations\n",
    "pop_input = Frontend.Population(\n",
    "    n_neurons, Frontend.IF_curr_exp,\n",
    "    {}, label='pop_input')\n",
    "\n",
    "pop_output = Frontend.Population(\n",
    "    n_neurons, Frontend.IF_curr_exp,\n",
    "    {}, label='pop_output')\n",
    "\n",
    "# Create EXTERNAL INJECTION population\n",
    "spike_injector = Frontend.Population(\n",
    "    n_neurons, ExternalDevices.SpikeInjector,\n",
    "    {'port': 12345,\n",
    "     'database_notify_host':\"localhost\",\n",
    "     'database_notify_port_num':12345},\n",
    "    label='spike_injector')\n",
    "\n",
    "# port: internal port on SpiNNaker (you just can't use the same value to multiple SpikeInjectors)\n",
    "#       it's only really usefull if you are NOT using the spynnaker_live_spikes_connection.\n",
    "# database_notify_host: ip where the spikes are comming from (if using spynnaker_live_spikes_connection)\n",
    "# database_notify_port_num: port where the spikes are comming from (if using spynnaker_live_spikes_connection)\n",
    "\n",
    "# Create a connection from the injector into the input population\n",
    "Frontend.Projection(\n",
    "    spike_injector, pop_input,\n",
    "    Frontend.OneToOneConnector(weights=weight_to_spike))\n",
    "\n",
    "\n",
    "# Propagates the spikes from pop_input to pop_output\n",
    "Frontend.Projection(\n",
    "    pop_input, pop_output,\n",
    "    Frontend.OneToOneConnector(weights=weight_to_spike))\n",
    "\n",
    "\n",
    "# record spikes so that we can read off valid\n",
    "# results in a safe way afterwards, and verify the behavior\n",
    "pop_input.record()\n",
    "pop_output.record()\n",
    "\n",
    "# Activate the SENDING of live spikes from the pop_output\n",
    "ExternalDevices.activate_live_output_for(\n",
    "    pop_output, \n",
    "    database_notify_host=\"localhost\",\n",
    "    database_notify_port_num=12346)\n",
    "\n",
    "\n",
    "# Run the simulation on spiNNaker\n",
    "Frontend.run(run_time)\n",
    "\n",
    "\n",
    "# Retrieve spikes from the synfire chain population\n",
    "spikes_input = pop_input.getSpikes()\n",
    "spikes_output = pop_output.getSpikes()\n",
    "\n",
    "# Clear data structures on spiNNaker to leave the machine in a clean\n",
    "# state for future executions\n",
    "Frontend.end()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
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       "    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;\n",
       "    var y = canvas_pos.y;\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",
       "    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 + '\">');\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 dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\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>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# If there are spikes, plot using matplotlib\n",
    "if len(spikes_input) != 0 or len(spikes_output) != 0:\n",
    "    plt.figure()\n",
    "    if len(spikes_input) != 0:\n",
    "        plt.plot([i[1] for i in spikes_input],\n",
    "                   [i[0] for i in spikes_input], \"bo\", markersize=5, label=\"input\")\n",
    "    if len(spikes_output) != 0:\n",
    "        plt.plot([i[1] for i in spikes_output],\n",
    "                   [i[0] for i in spikes_output], \"rv\", label=\"output\")\n",
    "    plt.ylabel('neuron id')\n",
    "    plt.xlabel('Time/ms')\n",
    "    plt.title('spikes')\n",
    "#     plt.xlim(450,650)\n",
    "    plt.show()\n",
    "else:\n",
    "    print \"No spikes received\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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