{ "cells": [ { "cell_type": "markdown", "id": "c720c87d", "metadata": {}, "source": [ "# WaveSense: Training a Spiking Neural Network with Temporal Convolutions\n", "\n", "In this notebook we will demonstrate how to create and train a WaveSense network as described in https://arxiv.org/pdf/2111.01456.pdf.\n", "\n", "\n", "The key feature of this model is its temporal convolution layer which is inspired by the famous WaveNet architecture from Google: \n", "https://arxiv.org/pdf/1609.03499.pdf and\n", "https://deepmind.com/blog/article/wavenet-generative-model-raw-audio\n", " \n", "\n", "\"Dilations\"\n", "\n", "\n", "WaveNet uses so called \"dilated convolutional layers\" as depicted in panel A. Dilated convolutional layers are basically the same as a normal convolutional layers, execpt that the kernel is causal and sparse in the time domain. By choosing the sparseness (dilations) in a smart way, no information is lost but much less parameters have to be trained.\n", "\n", "We adapt this method in our spiking neural network implementation. As can be seen in panel A, a dilated connection means that there is a connection which is fast (instantaneous) and one which is delayed by the dilation value. In order to correctly implement that in a SNN, we could simply use an axonal delay for the dilated connection (panel B). Unfortunately, axonal delays are not supported by our hardware. Hence, we chose to represent the fast connection with a synapse having a short time constant and the dilated connection having a long time constant (panel C). Note that this means that our dilated neuron model differs from the standard LIF neuron model as it has two synaptic currents with different time constants.\n", "\n", "\n", "There are additional parts to the model worth mentioning. The dilated connection happens in a computational block called \"WaveBlock\". Moreover, the WaveBlock uses a residual connection to connect to the next block and also a skip connection directly to the readout layer. \n", "\n", "The WaveBlock looks like this:\n", "\n", " A single WaveBlock\n", " ▲\n", " To next block │ ┌────────────┐\n", " ┌──────────────────┼────────────┤ WaveBlock ├───┐\n", " │ │ └────────────┘ │\n", " │ Residual path .─. │\n", " │ ─ ─ ─ ─ ─ ─▶( + ) │\n", " │ │ `─' │\n", " │ ▲ │\n", " │ │ │ │\n", " │ .─────. │\n", " │ │ ( Spike ) │\n", " │ `─────' │\n", " │ │ ▲ │\n", " │ │ │\n", " │ │ ┌──────────┐ │\n", " │ │ Linear │ │\n", " │ │ └──────────┘ Skip path │ Skip\n", " │ ▲ ┌──────┐ .─────. │ connections\n", " │ │ ├──────▶│Linear│──▶( Spike )──┼──────────▶\n", " │ │ └──────┘ `─────' │\n", " │ │ .─────. │\n", " │ ( Spike ) │\n", " │ │ `─────' │\n", " │ ╲┃╱ │\n", " │ │ ┃ Dilation │\n", " │ ┌──────────┐ │\n", " │ │ │ Linear │ │\n", " │ └──────────┘ │\n", " │ │ ▲ │\n", " │ ─ ─ ─ ─ ─ ─ ─│ │\n", " └──────────────────┼─────────────────────────────┘\n", " │ From previous block\n", " │\n", "\n", "\n", "\n", "\n", "The WaveSense network stacks multiple such WaveBlocks and adds a two layered readout:\n", "\n", "\n", "\n", "\n", " The WaveSense network\n", " Threshold\n", " on output\n", " .───────.\n", " (Low-pass )────▶\n", " `───────'\n", " ▲\n", " │\n", " ┌──────────┐\n", " │ Linear │\n", " └──────────┘\n", " ▲\n", " │\n", " .─────.\n", " ( Spike )\n", " ┌──────────────────────┐ Skip `─────'\n", " │ ├┐ outputs ▲\n", " │ WaveBlock stack │├┬───┐ │\n", " │ ││├┬──┤ .─. ┌──────────┐\n", " └┬─────────────────────┘││├──┴┬───▶( + )─▶│ Linear │\n", " └┬─────────────────────┘││───┘ `─' └──────────┘\n", " └┬─────────────────────┘│\n", " └──────────────────────┘\n", " ▲\n", " │\n", " .─────.\n", " ( Spike )\n", " `─────'\n", " ▲\n", " │\n", " ┌──────────┐\n", " │ Linear │\n", " └──────────┘\n", " ▲ Spiking\n", " │ input\n", "\n", "Now, that the model is introduced, let's get started and define the task." ] }, { "cell_type": "code", "execution_count": 1, "id": "df42fab8", "metadata": {}, "outputs": [], "source": [ "import sys\n", "!{sys.executable} -m pip install --quiet matplotlib\n", "import matplotlib.pyplot as plt\n", "\n", "%matplotlib inline\n", "plt.rcParams[\"figure.figsize\"] = [12, 4]\n", "plt.rcParams[\"figure.dpi\"] = 300" ] }, { "cell_type": "markdown", "id": "fd7ff1f4", "metadata": {}, "source": [ "## Temporal XOR Task\n", "\n", "For demonstation purposes, we want to train the WaveSense model on a toy task which is representative to the tasks it is meant to be applied. We chose the temporal version of logical XOR as it easy but still requires temporal memory, which is the key problem solved by WaveSense.\n", "\n", "We create a TemporalXOR task of length `T_total`. \n", "The created input spike trains contains two stimuli containing `num_channels` neurons of duration `T_stim`.\n", "Between the presentation of the two stimuli is a certain temporal delay which is randomized around `T_delay +- T_randomize`.\n", "\n", "```\n", " | T_Stim | random delay | T_Stim |\n", "|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n", "| |\n", "| | \n", "| FIRST STIM ... Silence ... SECOND STIM ... Silence ... | \n", "| | \n", "| |\n", "|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n", " | T_total | \n", " \n", " Time ->\n", "\n", "```\n", " \n", "The supervision signal is equal to logical XOR(stim_0, stim_1):\n", "\n", "```\n", "targets = {\n", " XOR(Stim_A, Stim_A) = 0\n", " XOR(Stim_A, Stim_B) = 1\n", " XOR(Stim_B, Stim_A) = 1\n", " XOR(Stim_B, Stim_B) = 0\n", " }\n", "```\n", "\n", "The problem which has to be solved is two-fold.\n", "\n", " 1) It's non-linear.\n", "\n", " 2) It requires temporal memory. The model can only make a decision after both simuli are presented meaning it has to remember the first stimulus for at least the delay period." ] }, { "cell_type": "code", "execution_count": 2, "id": "7a4dd76b", "metadata": {}, "outputs": [], "source": [ "from torch.utils.data import Dataset\n", "import torch\n", "import numpy as np\n", "\n", "\n", "class TemporalXOR(Dataset):\n", " def __init__(\n", " self,\n", " T_total=100,\n", " T_stim=20,\n", " T_delay=40,\n", " T_randomize=20,\n", " max_num_spikes=15,\n", " num_channels=16,\n", " ):\n", "\n", " self.T_total = T_total\n", " self.T_stim = T_stim\n", " self.T_delay = T_delay\n", " self.T_randomize = T_randomize\n", " self.max_num_spikes = max_num_spikes\n", " self.num_channels = num_channels\n", "\n", " # two different stimuli\n", " self.inp_A = torch.randint(\n", " 0, self.max_num_spikes + 1, (self.T_stim, self.num_channels)\n", " )\n", " self.inp_A[:, : self.num_channels // 2] = 0\n", " self.inp_B = torch.randint(\n", " 0, self.max_num_spikes + 1, (self.T_stim, self.num_channels)\n", " )\n", " self.inp_B[:, self.num_channels // 2 :] = 0\n", "\n", " # stimuli sequence for logical XOR\n", " self.key_stim_map = {\n", " 0: [self.inp_A, self.inp_A],\n", " 1: [self.inp_A, self.inp_B],\n", " 2: [self.inp_B, self.inp_A],\n", " 3: [self.inp_B, self.inp_B],\n", " }\n", "\n", " # supervision signal for logical XOR\n", " self.key_target_map = {0: 0, 1: 1, 2: 1, 3: 0}\n", "\n", " def __getitem__(self, key):\n", "\n", " # generate input sample as\n", " # [FIRST STIM, ... silence ..., SECOND STIM, ... silence ...]\n", " inp = torch.zeros(self.T_total, self.num_channels)\n", " inp[: self.T_stim] = self.key_stim_map[key][0]\n", " T_second_stim = (\n", " self.T_stim\n", " + self.T_delay\n", " - np.random.randint(-self.T_randomize, self.T_randomize)\n", " )\n", " inp[T_second_stim : T_second_stim + self.T_stim] = self.key_stim_map[key][1]\n", "\n", " # supervision signal\n", " tgt = torch.Tensor([self.key_target_map[key]]).long()\n", "\n", " return inp, tgt\n", "\n", " def __len__(self):\n", " return len(self.key_stim_map)" ] }, { "cell_type": "code", "execution_count": 3, "id": "fe077258", "metadata": {}, "outputs": [], "source": [ "from torch.utils.data import DataLoader\n", "\n", "data = TemporalXOR(\n", " T_total=100,\n", " T_stim=20,\n", " T_delay=30,\n", " T_randomize=20,\n", " max_num_spikes=15,\n", " num_channels=16,\n", ")\n", "dataloader = DataLoader(data, batch_size=len(data), shuffle=True)" ] }, { "cell_type": "markdown", "id": "77b692d0", "metadata": {}, "source": [ "Now that the taks is defined and we created a dataloader, let's visualize the data. " ] }, { "cell_type": "code", "execution_count": 4, "id": "a7b14e88", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=[12, 12])\n", "for i in range(len(data)):\n", " inp, target = data[i]\n", " ax = fig.add_subplot(len(data), 1, i + 1)\n", " ax.imshow(inp.T, aspect=\"auto\", interpolation=\"None\")\n", " ax.set_ylabel(\"input neuron\")\n", " ax.set_title(f\"Target class: {target.item()}\")\n", "ax.set_xlabel(\"Time\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "6cdb5788", "metadata": {}, "source": [ "Now let's define the WaveSense network.\n", "\n", "As the problem is simple, we use only `16` neurons per layer and `2` WaveBlocks. We want the time constants in the network as short as possible as long time constants blurr the data unnecessarily. On the other hand, we need long memory in the network so we use one long time constant in the second WaveBlock (`dilation = 16`). \n", "\n", "We can define the number of WaveBlocks and their time constants by the `dilations` parameter. Remember, the dilated connection in WaveBlock `i` has two time constants which are calculated as:\n", "```\n", " tau_syn_0 = base_tau_syn\n", " tau_syn_1 = dilation[i] * base_tau_syn\n", "```\n", "\n", "Finally, WaveSense can low-pass the output of the readout with an exponential kernel (time constant `tau_lp`). This is not strictly necessary but can help to smooth the gradients.\n", "\n", "We can also choose which implementation of the LIF neuron WaveSense should use. The options are:\n", "\n", " 1) LIFTorch, the most standard LIF dynamics (default)\n", " 2) LIFSlayer, speeds up the training drastically but won't be able to be quantized after training\n", " \n", "Here, we use LIFTorch as the most standard implementation of the LIF dynamics." ] }, { "cell_type": "code", "execution_count": 5, "id": "97d5b03a", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/dylan/rockpool/rockpool/nn/networks/__init__.py:10: UserWarning: This module needs to be ported to teh v2 API.\n", " warnings.warn(f\"{err}\")\n", "/home/dylan/rockpool/rockpool/nn/networks/__init__.py:15: UserWarning: This module needs to be ported to the v2 API.\n", " warnings.warn(f\"{err}\")\n" ] } ], "source": [ "from rockpool.nn.modules import LIFTorch # , LIFSlayer\n", "from rockpool.nn.networks.wavesense import WaveSenseNet\n", "from rockpool.parameters import Constant\n", "\n", "dilations = [2, 32]\n", "n_out_neurons = 2\n", "n_inp_neurons = data.num_channels\n", "n_neurons = 16\n", "kernel_size = 2\n", "tau_mem = 0.002\n", "base_tau_syn = 0.002\n", "tau_lp = 0.01\n", "threshold = 1.0\n", "dt = 0.001\n", "\n", "# - Use a GPU if available\n", "# device = \"gpu\" if torch.cuda.is_available() else \"cpu\"\n", "device = \"cpu\"\n", "\n", "model = WaveSenseNet(\n", " dilations=dilations,\n", " n_classes=n_out_neurons,\n", " n_channels_in=n_inp_neurons,\n", " n_channels_res=n_neurons,\n", " n_channels_skip=n_neurons,\n", " n_hidden=n_neurons,\n", " kernel_size=kernel_size,\n", " bias=Constant(0.0),\n", " smooth_output=True,\n", " tau_mem=Constant(tau_mem),\n", " base_tau_syn=base_tau_syn,\n", " tau_lp=tau_lp,\n", " threshold=Constant(threshold),\n", " neuron_model=LIFTorch,\n", " dt=dt,\n", ").to(device)" ] }, { "cell_type": "markdown", "id": "0589c2ab", "metadata": {}, "source": [ "Now the boilerplate code starts.\n", "\n", "We use CrossEntropyLoss as TemporalXOR is a classification task and make use of the Adam optimizer." ] }, { "cell_type": "code", "execution_count": 6, "id": "84b208d8", "metadata": {}, "outputs": [], "source": [ "from torch.nn import CrossEntropyLoss\n", "from torch.optim import Adam\n", "\n", "crit = CrossEntropyLoss()\n", "opt = Adam(model.parameters().astorch(), lr=1e-3)" ] }, { "cell_type": "markdown", "id": "b2386671", "metadata": {}, "source": [ "We train this model on the TemporalXOR task for `300` epochs. It is worth noting that we apply CrossEntropyLoss only on the last timestep of the output of the model. We do that because we know that the model had the possibility to integrate enough information about the task at the last time step." ] }, { "cell_type": "code", "execution_count": 7, "id": "3d15e5ba", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "979a8a7cacaf47bca3c8a8a61b0febbe", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Training: 0%| | 0/300 [00:00" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(losses)\n", "plt.yscale(\"log\")\n", "plt.title(\"Loss\")\n", "plt.ylabel(\"Loss\")\n", "plt.xlabel(\"Epoch\")\n", "\n", "plt.figure()\n", "plt.plot(accs)\n", "plt.title(\"Accuracy\")\n", "plt.ylabel(\"Accuracy\")\n", "plt.xlabel(\"Epoch\");" ] }, { "cell_type": "markdown", "id": "100dc11d", "metadata": {}, "source": [ "It seems that the model has learned the task successfully. But to make sure, let's visualize the input, and output of the last batch." ] }, { "cell_type": "code", "execution_count": 9, "id": "3ba337dc", "metadata": {}, "outputs": [ { "data": { "image/png": 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0KR577LHDrt27d298//vfj/e+972t7nMotUdbhgwZEosXL47x48dHRERjY2NMnz49Lr/88rj//vtj1apVsW7dunjqqafi1ltvjdNOOy3uuuuu5vXvfve7Y/78+VFTU9Pm/dUdaWRVP95boLicMbImG6CQZANkSTZAqcgGKGeyAagMzhhZkw1QSLIBsiQboFRkA5Qz2QBUBmeMUpAPUCiyAbIkG6BUZAOUM9lAerWl3gBQeLt3784Z9+3bN+97tFzz1ltvpdoTlevBBx+M7373uznX/v3f/z2GDBnS4bpC1WlTU1PzWJ12f6tXr45/+7d/ax7fdNNNOd3k0lBztKXlB/3Zs2fHm2++GRF/D/s+9alPxYUXXhijRo2K+vr6eO655+Kuu+6KJ554onnNihUr4rLLLovHH388evXq1eoZao/2jB49Op5++um4++67484774zly5fHfffdF/fdd1+7a4YOHRrXXXddfPGLX2yz3g5Sd6SRVf14b4HicsbIkmyAQpINkDXZAKUkG6BcyQagMjhjZEk2QCHJBsiabIBSkg1QrmQDUBmcMbImH6BQZANkTTZAKckGKFeygfR6lHoDQOG1/KHVslNNZ7T8odXynhAR8dxzz8WVV16Zc+2CCy6IuXPnHnatOqWlAwcOxD//8z/H22+/HRERZ511Vnz2s58t2P3VHC29/fbbzfV20CuvvBIREaecckqsWbMmbrnlljj//PPjH/7hH2LChAkxe/bsWLp0adxyyy0565588sn4+te/3uZz1B4d2b9/f+zfvz/69OnTbufLg4477ri45ZZb4rrrruswaIlQd6STVf2oUyguZ4ysyAYoJNkAWZMNUA5kA5Qj2QBUBmeMrMgGKCTZAFmTDVAOZAOUI9kAVAZnjCzJBygU2QBZkw1QDmQDlCPZQHoaOEAVONwv7kKtobq89NJLcfHFF+f8Qqurq4v//u//zqzm1Glluf322+Opp56KiIja2tr40Y9+FD179iza89Qc+/fvb/P6oEGD4uGHH47jjjuu3bVf+MIX4vOf/3zOtVtvvbVTH/LVHgctW7Ysxo0bF3Pnzo1ly5bFgQMHOpz/8ssvx+zZs+P444+PH/3oR3k9S92RRjl/tlOn0HnOGMUgG6DQZANkTTZAqckG6C7K+bOdOoXOc8YoBtkAhSYbIGuyAUpNNkB3Uc6f7dQpdJ4zRrHIBygk2QBZkw1QarIBuoty/lxXrnWqgQNUoAEDBuSMGxsb875HyzUt70l127JlS3zgAx+IV199tfnayJEj45FHHolhw4Z16h7qlENt2LAh/vVf/7V5fN1118WZZ55Z0GeoOVrq169f9OjR+uPwdddd12HQctBNN90UgwYNah5v3749Fi5c2Gqe2qMtjz76aEybNi02bdrUfO3YY4+Nm2++OVasWBE7d+6MPXv2xObNm+Phhx+Oq666KmprayMiYuvWrfHJT34yrr766kiSpM37qzvSyKp+1CkUlzNGsckGKDTZAKUgG6CUZAOUM9kAVAZnjGKTDVBosgFKQTZAKckGKGeyAagMzhhZkA9QSLIBSkE2QCnJBihnsoH0NHCAClTJP7Qove3bt8e0adNi7dq1zdeOPvroWLRoUZx44omdvo865aAkSeKTn/xkNDQ0RETEmDFjYt68eQV/jpqjLf3792917corr+z02g9/+MM515YsWdJqntqjpa1bt8asWbOiqamp+doHP/jBWL16dXz5y1+OM888MwYNGhS9evWKESNGxPTp0+Puu++OpUuXxtChQ5vX/PCHP4xvfOMbbT5D3ZGGsAUqgzNGMckGKDTZAKUkG6AUZAOUO9kAVAZnjGKSDVBosgFKSTZAKcgGKHeyAagMzhjFJh+gkGQDlJJsgFKQDVDuZAPpaeAAFejQzl0REQ0NDVFfX5/XPbZs2ZIzPuqoo9Juiwqwa9euuOCCC2LVqlXN1wYPHhyPPPJInHrqqXndq2Wdbt26Na/1u3fvbvXLVZ12Tz/84Q/jscceax7fcccd0bdv34I/R83RlpbfwxEjRsTo0aM7vf7ss8/OGa9Zs6bVHLVHS9/61rdy6uDkk0+O++67LwYOHNjhurPPPjt++ctf5ly78cYbW31ui1B3pJNV/XhvgeJyxigW2QDFIBuglGQDlIJsgHInG4DK4IxRLLIBikE2QCnJBigF2QDlTjYAlcEZo5jkAxSabIBSkg1QCrIByp1sID0NHKACDR06NAYPHpxz7aWXXsrrHi+++GLOOJ8OiFSmt956K2bMmBHLly9vvjZw4MB4+OGH48wzz8z7fi1rqmXNHU7L+UOGDGlV93QPX/va15r/+6KLLoqxY8fGpk2bOvzavHlzzj327dvXas6ePXty5qg52nLSSSfljI855pi81r/jHe/IGW/btq3VHLVHS/fff3/O+Mtf/nIcccQRnVp7/vnnxznnnNM8bmxsjHvvvbfVPHVHGlnVj/cWKC5njGKQDVAssgFKSTZAKcgGKHeyAagMzhjFIBugWGQDlJJsgFKQDVDuZANQGZwxikU+QDHIBigl2QClIBug3MkG0qst9QaA4hg3blz8/ve/bx6vW7cuxo0b1+n1GzZsaHU/qld9fX1cdNFF8dRTTzVfGzBgQCxcuDDe/e53d+meLWtq3bp1ea1vWaOnnHJKl/ZB6R3aTeuhhx6Kd77znXnf49VXX221bsWKFTkhoJqjLaeeemo8+uijzeM+ffrktb7l/KamplZz1B6Hqq+vj/Xr1+dcO//88/O6x7Rp02Lp0qXN46effrrVHHVHGlnWj/cWKC5njEKSDVBMsgFKSTZA1mQDdAeyAagczhiFJBugmGQDlJJsgKzJBugOZANQOZwxCk0+QLHIBigl2QBZkw3QHcgG0utR6g0AxfGud70rZ/zkk092em19fX08//zzHd6P6tHY2BiXXHJJPPHEE83X+vXrF7/97W9jypQpXb5vy5p6/vnno6GhodPrly1b1uH9oCU1R1tOP/30nPHOnTvzWt9y/tChQ1vNUXscqq0aGzlyZF73aDn/zTffbDVH3ZFGlvXjvQWKyxmjUGQDVAo1R1tkA2RNNkB3IBuAyuGMUSiyASqFmqMtsgGyJhugO5ANQOVwxigk+QCVQL3RFtkAWZMN0B3IBtLTwAEq1IwZM3LGS5Ys6fTapUuXxr59+5rH48ePjxEjRhRqa3QjTU1N8aEPfSinfo444oj49a9/He973/tS3fuYY47JecnZt29fTphzOC1r+sILL0y1HyqfmqMtF154YdTU1DSPN2zY0GbHy/b86U9/yhmPGjWq1Ry1x6GOOuqoVtfq6+vzusfu3btzxgMGDGg1R92RRpb1470FissZoxBkA1QSNUdbZANkTTZAdyAbgMrhjFEIsgEqiZqjLbIBsiYboDuQDUDlcMYoFPkAlUK90RbZAFmTDdAdyAbS08ABKtT06dOjb9++zeMnn3wy/vKXv3Rq7d13350zvvTSSwu5NbqJPXv2xIc//OFYtGhR87U+ffrEggUL4vzzzy/IM1rW1k9+8pNOrfvLX/4STz/9dPO4f//+ccEFFxRkT2Rv586dkSRJXl+LFy/OuUddXV2rOWeeeWarZ6k5WnrHO94RkydPbh7v3bs3Hn300U6vf/jhh3PG55xzTpvz1B4H9e/fPwYOHJhzbcWKFXndY/ny5Tnj9rptqjvSyKp+vLdAcTljpCUbICuyAUpJNkDWZAN0F7IBqAzOGGnJBsiKbIBSkg2QNdkA3YVsACqDM0YhyAfIgmyAUpINkDXZAN2FbCAdDRygQvXr1y8+8pGP5Fz7+te/fth1a9eujQcffLB5XFtbGx/96EcLvj/K2759+2LmzJmxcOHC5mu9evWK+fPnx/Tp0wv2nI997GPRs2fP5vEDDzwQL7zwwmHXtazlmTNnxhFHHFGwfVG51BxtmT17ds74W9/6VqfWLV26NP7whz80j3v06BEXXXRRm3PVHoc699xzc8Z33nlnp9du3rw5fv3rX+dcay/kU3ekkVX9eG+B4nLGSEM2QKVSc7RFNkDWZAN0B7IBqAzOGGnIBqhUao62yAbImmyA7kA2AJXBGSMt+QCVSL3RFtkAWZMN0B3IBlJKgIq1fv36pFevXklENH/96le/and+Y2NjMmXKlJz511xzTYY7phzs27cvmTlzZk4d1NbWJg888EBRnjdnzpycZ02ZMiVpbGxsd/6CBQty5vfu3TvZtGlTUfZG+Vq8eHFOHdTV1XV6rZqjpX379iXjxo3L+T5/85vf7HDNG2+8kZxwwgk5a6644ooO16g9DvrZz36W872tqalJ/uu//uuw65qampJp06blrB0wYECyffv2dteou+qT5ndkS1nVj/cWKC5njK6QDdAdyAYoJNkAWZMNUEyyAaAlZ4yukA3QHcgGKCTZAFmTDVBMsgGgJWeMrpIPUO5kAxSSbICsyQYoJtlAedDAASrc9ddfn/NDqFevXsl3vvOd5O23386Zt3r16lY/sIYOHZq89tprJdo5pXLllVfm1EFEJN/4xjeSjRs35v3V0S/jg15++eVk8ODBOc+bOnVqsmbNmpx5TU1Nybe//e1Wv4hvuOGGYv1TUMbSfJBUc7Tld7/7XdKjR4+c7/VnP/vZNl9iH3nkkWTs2LE5cwcPHpxs2LChw2eoPQ7av39/csYZZ7QKXD772c+2+9nrscceS84888xWv6NvuummDp+l7irXyy+/3Obnr1/84hc538Njjz223c9qW7duPewzsqof7y1QXM4Y+ZIN0B3IBig02QBZkg1QCLIB7y2QD2eMfMkG6A5kAxSabIAsyQYoBNmA9xbIhzNGV8gHKHeyAQpNNkCWZAMUgmygvN9bapIkSQKoWPv3748PfvCDsXDhwpzrw4cPjwkTJsSRRx4ZGzZsiGeffTYO/XHQu3fvWLRoUZxzzjlZb5kSq6mpKdi9Fi9eHOeee+5h5y1ZsiSmT58ee/bsydnHWWedFWPGjIldu3bFs88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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(17, 7))\n", "for i in range(len(data)):\n", " ax = fig.add_subplot(2, len(data), i + 1)\n", " ax.imshow(inp[i].T, aspect=\"auto\", interpolation=\"None\")\n", " ax.set_ylabel(\"input neuron\")\n", " ax = fig.add_subplot(2, len(data), len(data) + i + 1)\n", " ax.plot(out[i, :, 0].detach().cpu().numpy(), label=\"output_0\")\n", " ax.plot(out[i, :, 1].detach().cpu().numpy(), label=\"output_1\")\n", " ax.legend()\n", " ax.set_ylabel(\"output\")\n", " ax.set_xlabel(\"Time\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "ad98f57f", "metadata": {}, "source": [ "As can be seen, the output at the last timestep predicts the target correctly. Output neuron 0 is more active on the last timestep than output neuron 1 if `XOR(inp) == 0` and vice versa.\n", "\n", "We can also visualize the activity of each layer in WaveSense by accessing the record dict returned by rockpool on each forward path. We can access the state of each layer (synaptic current and membrane potential) or the spiking output. \n", "\n", "Let's take a look at the spiking output." ] }, { "cell_type": "code", "execution_count": 10, "id": "2140796a", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# collect all spiking output from the recordings\n", "spk_layers = []\n", "for name, d in rec.items():\n", " if \"spk\" in name and \"output\" in name:\n", " spk_layers.append([name, d])\n", " elif \"wave\" in name and not \"output\" in name:\n", " wave_name = name\n", " for name, d in d.items():\n", " if \"spk\" in name and \"output\" in name:\n", " spk_layers.append([wave_name + \" \" + name, d])\n", "\n", "# plot spiking activity over layers\n", "fig = plt.figure(figsize=(16, 20))\n", "for i, (name, layer_rec) in enumerate(spk_layers):\n", " ax = fig.add_subplot(len(spk_layers), 1, i + 1)\n", " img = ax.imshow(layer_rec[0].detach().int().abs().cpu().numpy().T, aspect=\"auto\")\n", " fig.colorbar(img, ax=ax)\n", " ax.set_ylabel(name)\n", "ax.set_xlabel(\"Time\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "48b6ff46", "metadata": {}, "source": [ "What we can see here is that the first layers (including the first WaveBlock) respond quickly to the stimuli which is expected as the time constants of those layers are short. \n", "\n", "The second WaveBlock has the only long time constant in the network and is able to maintain an active state for the whole delay period. This reflects the memory in the network and can be utilized by the readout layer (the last layer).\n", "\n", "We can save the model to json format using `model.save(path)` and load it again after initialization with `model.load(path)`." ] }, { "cell_type": "code", "execution_count": 11, "id": "2150265a", "metadata": {}, "outputs": [], "source": [ "# save model\n", "# model.save(\"WaveSense.json\")\n", "\n", "# load model\n", "# model.load(\"WaveSense.json\")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3.8.13 ('py38')", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.13" }, "vscode": { "interpreter": { "hash": "cb88bc135d05a2341e3cb126d78f83330a5c316ea17e1399798ae369290a3c17" } } }, "nbformat": 4, "nbformat_minor": 5 }