citation update

README.rst

@@ -81,8 +81,8 @@ If you find snnTorch useful in your work, please cite the following source:
 
 `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>`_
+Spiking Neural Networks Using Lessons From Deep Learning”. Proceedings of the IEEE, 111(9)
+September 2023. <https://ieeexplore.ieee.org/abstract/document/10242251>`_
 
 .. code-block:: bash
 
@@ -91,8 +91,11 @@ September 2021. <https://arxiv.org/abs/2109.12894>`_
           author  =  {Eshraghian, Jason K and Ward, Max and Neftci, Emre and Wang, Xinxin 
                       and Lenz, Gregor and Dwivedi, Girish and Bennamoun, Mohammed and 
                      Jeong, Doo Seok and Lu, Wei D},
-          journal = {arXiv preprint arXiv:2109.12894},
-          year    = {2021}
+          journal = {Proceedings of the IEEE},
+          volume  = {111},
+          number  = {9},
+          pages   = {1016--1054},
+          year    = {2023}
   }
 
 Let us know if you are using snnTorch in any interesting work, research or blogs, as we would love to hear more about it! Reach out at [email protected].

docs/tutorials/tutorial_1.rst

@@ -12,8 +12,7 @@ The snnTorch tutorial series is based on the following paper. If you find these
 
     `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>`_
+    Spiking Neural Networks Using Lessons From Deep Learning”. Proceedings of the IEEE, 111(9) September 2023. <https://ieeexplore.ieee.org/abstract/document/10242251>`_
 
 .. note::
   This tutorial is a static non-editable version. Interactive, editable versions are available via the following links:

docs/tutorials/tutorial_2.rst

@@ -12,8 +12,7 @@ The snnTorch tutorial series is based on the following paper. If you find these
 
     `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>`_
+    Spiking Neural Networks Using Lessons From Deep Learning”. Proceedings of the IEEE, 111(9) September 2023. <https://ieeexplore.ieee.org/abstract/document/10242251>`_
 
 .. note::
   This tutorial is a static non-editable version. Interactive, editable versions are available via the following links:

docs/tutorials/tutorial_3.rst

@@ -12,8 +12,7 @@ The snnTorch tutorial series is based on the following paper. If you find these
 
     `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>`_
+    Spiking Neural Networks Using Lessons From Deep Learning”. Proceedings of the IEEE, 111(9) September 2023. <https://ieeexplore.ieee.org/abstract/document/10242251>`_
 
 .. note::
   This tutorial is a static non-editable version. Interactive, editable versions are available via the following links:

docs/tutorials/tutorial_4.rst

@@ -12,8 +12,7 @@ The snnTorch tutorial series is based on the following paper. If you find these
 
     `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>`_
+    Spiking Neural Networks Using Lessons From Deep Learning”. Proceedings of the IEEE, 111(9) September 2023. <https://ieeexplore.ieee.org/abstract/document/10242251>`_
 
 .. note::
   This tutorial is a static non-editable version. Interactive, editable versions are available via the following links:

docs/tutorials/tutorial_6.rst

@@ -12,8 +12,7 @@ The snnTorch tutorial series is based on the following paper. If you find these
 
     `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>`_
+    Spiking Neural Networks Using Lessons From Deep Learning”. Proceedings of the IEEE, 111(9) September 2023. <https://ieeexplore.ieee.org/abstract/document/10242251>`_
 
 .. note::
   This tutorial is a static non-editable version. Interactive, editable versions are available via the following links:

docs/tutorials/tutorial_7.rst

@@ -12,8 +12,7 @@ The snnTorch tutorial series is based on the following paper. If you find these
 
     `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>`_
+    Spiking Neural Networks Using Lessons From Deep Learning”. Proceedings of the IEEE, 111(9) September 2023. <https://ieeexplore.ieee.org/abstract/document/10242251>`_
 
 .. note::
   This tutorial is a static non-editable version. Interactive, editable versions are available via the following links:

docs/tutorials/tutorial_ipu_1.rst

@@ -9,8 +9,7 @@ The snnTorch tutorial series is based on the following paper. If you find these
 
     `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>`_
+    Spiking Neural Networks Using Lessons From Deep Learning”. Proceedings of the IEEE, 111(9) September 2023. <https://ieeexplore.ieee.org/abstract/document/10242251>`_
 
 .. note::
   This tutorial is a static non-editable version. An editable script is available via the following link:

docs/tutorials/tutorial_pop.rst

@@ -13,8 +13,7 @@ The snnTorch tutorial series is based on the following paper. If you find these
 
     `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>`_
+    Spiking Neural Networks Using Lessons From Deep Learning”. Proceedings of the IEEE, 111(9) September 2023. <https://ieeexplore.ieee.org/abstract/document/10242251>`_
 
 .. note::
   This tutorial is a static non-editable version. Interactive, editable versions are available via the following links:

docs/tutorials/tutorial_regression_1.rst

@@ -23,8 +23,7 @@ in your work, please consider citing the following sources:
 
     `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>`_
+    Spiking Neural Networks Using Lessons From Deep Learning”. Proceedings of the IEEE, 111(9) September 2023. <https://ieeexplore.ieee.org/abstract/document/10242251>`_
 
 .. note::
   This tutorial is a static non-editable version. Interactive, editable versions are available via the following links:

docs/tutorials/tutorial_regression_2.rst

@@ -23,8 +23,7 @@ in your work, please consider citing the following sources:
 
     `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>`_
+    Spiking Neural Networks Using Lessons From Deep Learning”. Proceedings of the IEEE, 111(9) September 2023. <https://ieeexplore.ieee.org/abstract/document/10242251>`_
 
 .. note::
   This tutorial is a static non-editable version. Interactive, editable versions are available via the following links:

docs/tutorials/tutorial_sae.rst

@@ -25,12 +25,9 @@
    find these resources or code useful in your work, please consider
    citing the following source:
 
-      `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>`__
-
+    `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>`_
 .. container:: cell markdown
 
    In this tutorial, you will learn how to use snnTorch to:

examples/tutorial_1_spikegen.ipynb

@@ -20,14 +20,15 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {
     "id": "4blpfg4y44uO"
    },
    "source": [
     "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>"
    ]
   },
   {

examples/tutorial_2_lif_neuron.ipynb

@@ -30,14 +30,15 @@
       ]
     },
     {
+      "attachments": {},
       "cell_type": "markdown",
       "metadata": {
         "id": "H56eQUdm3IuT"
       },
       "source": [
         "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>\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\". Proceedings of the IEEE, 111(9) September 2023.](https://ieeexplore.ieee.org/abstract/document/10242251) </cite>\n"
       ]
     },
     {

examples/tutorial_3_feedforward_snn.ipynb

@@ -3,8 +3,8 @@
     {
       "cell_type": "markdown",
       "metadata": {
-        "id": "view-in-github",
-        "colab_type": "text"
+        "colab_type": "text",
+        "id": "view-in-github"
       },
       "source": [
         "<a href=\"https://colab.research.google.com/github/jeshraghian/snntorch/blob/docs-update/examples/tutorial_3_feedforward_snn.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
@@ -31,14 +31,15 @@
       ]
     },
     {
+      "attachments": {},
       "cell_type": "markdown",
       "metadata": {
         "id": "H56eQUdm3IuT"
       },
       "source": [
         "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>\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\". Proceedings of the IEEE, 111(9) September 2023.](https://ieeexplore.ieee.org/abstract/document/10242251) </cite>"
       ]
     },
     {
@@ -658,9 +659,9 @@
   ],
   "metadata": {
     "colab": {
+      "include_colab_link": true,
       "name": "Copy of Untitled17.ipynb",
-      "provenance": [],
-      "include_colab_link": true
+      "provenance": []
     },
     "kernelspec": {
       "display_name": "Python 3.7.0 ('snnenv': venv)",
@@ -687,4 +688,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 0
-}
+}

examples/tutorial_4_advanced_neurons.ipynb

@@ -30,14 +30,15 @@
       ]
     },
     {
+      "attachments": {},
       "cell_type": "markdown",
       "metadata": {
         "id": "H56eQUdm3IuT"
       },
       "source": [
         "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>\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\". Proceedings of the IEEE, 111(9) September 2023.](https://ieeexplore.ieee.org/abstract/document/10242251) </cite>"
       ]
     },
     {