notebook metadata fix

SpikeAI · Oct 14, 2023 · b500b7d · b500b7d
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diff --git a/examples/tutorial_1_spikegen.ipynb b/examples/tutorial_1_spikegen.ipynb
@@ -1495,7 +1495,7 @@
     "mszPTrYOluym",
     "VTHK-wAWV57B"
    ],
-   "name": "Copy of quantAwareTrain.ipynb",
+   "name": "snntorch_tutorial_1.ipynb",
    "provenance": []
   },
   "interpreter": {

diff --git a/examples/tutorial_2_lif_neuron.ipynb b/examples/tutorial_2_lif_neuron.ipynb
@@ -1448,7 +1448,7 @@
     "colab": {
       "collapsed_sections": [],
       "include_colab_link": true,
-      "name": "Untitled17.ipynb",
+      "name": "snntorch_tutorial_2.ipynb",
       "provenance": []
     },
     "kernelspec": {

diff --git a/examples/tutorial_3_feedforward_snn.ipynb b/examples/tutorial_3_feedforward_snn.ipynb
@@ -660,7 +660,7 @@
   "metadata": {
     "colab": {
       "include_colab_link": true,
-      "name": "Copy of Untitled17.ipynb",
+      "name": "snntorch_tutorial_3.ipynb",
       "provenance": []
     },
     "kernelspec": {

diff --git a/examples/tutorial_4_advanced_neurons.ipynb b/examples/tutorial_4_advanced_neurons.ipynb
@@ -521,7 +521,7 @@
     "colab": {
       "collapsed_sections": [],
       "include_colab_link": true,
-      "name": "Copy of Untitled17.ipynb",
+      "name": "snntorch_tutorial_4.ipynb",
       "provenance": []
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diff --git a/examples/tutorial_5_FCN.ipynb b/examples/tutorial_5_FCN.ipynb
@@ -1037,7 +1037,7 @@
     "accelerator": "GPU",
     "colab": {
       "include_colab_link": true,
-      "name": "Copy of tutorial_2_FCN_truncatedfromscratch.ipynb",
+      "name": "snntorch_tutorial_5.ipynb",
       "provenance": []
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diff --git a/examples/tutorial_6_CNN.ipynb b/examples/tutorial_6_CNN.ipynb
@@ -817,7 +817,7 @@
     "accelerator": "GPU",
     "colab": {
       "include_colab_link": true,
-      "name": "tutorial_6_CNN.ipynb",
+      "name": "snntorch_tutorial_6.ipynb",
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diff --git a/examples/tutorial_7_neuromorphic_datasets.ipynb b/examples/tutorial_7_neuromorphic_datasets.ipynb
@@ -642,7 +642,7 @@
     "accelerator": "GPU",
     "colab": {
       "include_colab_link": true,
-      "name": "Copy of tutorial_5_neuromorphic_datasets.ipynb",
+      "name": "snntorch_tutorial_7.ipynb",
       "provenance": []
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diff --git a/examples/tutorial_pop.ipynb b/examples/tutorial_pop.ipynb
@@ -39,7 +39,7 @@
         "For a comprehensive overview on how SNNs work, and what is going on under the hood, [then you might be interested in the snnTorch tutorial series available here.](https://snntorch.readthedocs.io/en/latest/tutorials/index.html)\n",
         "The snnTorch tutorial series is based on the following paper. If you find these resources or code useful in your work, please consider citing the following source:\n",
         "\n",
-        "> <cite> [Jason K. Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, and Wei D. Lu. \"Training Spiking Neural Networks Using Lessons From Deep Learning\". arXiv preprint arXiv:2109.12894, September 2021.](https://arxiv.org/abs/2109.12894) </cite>"
+        "> <cite> [Jason K. Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, and Wei D. Lu. \"Training Spiking Neural Networks Using Lessons From Deep Learning\". Proceedings of the IEEE, 111(9) September 2023.](https://ieeexplore.ieee.org/abstract/document/10242251) </cite>"
       ]
     },
     {
@@ -438,7 +438,7 @@
     "accelerator": "GPU",
     "colab": {
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-      "name": "Copy of tutorial_5_neuromorphic_datasets.ipynb",
+      "name": "snntorch_population_codes.ipynb",
       "provenance": []
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diff --git a/examples/tutorial_regression_1.ipynb b/examples/tutorial_regression_1.ipynb
@@ -620,7 +620,7 @@
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diff --git a/examples/tutorial_regression_2.ipynb b/examples/tutorial_regression_2.ipynb
@@ -628,7 +628,7 @@
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         "VTHK-wAWV57B"
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-      "name": "Copy of quantAwareTrain.ipynb",
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