{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Adaptive Leaky Integrate and Fire (ALIF)\n:class:`~sinabs.layers.ALIF` layer with an adaptive threshold based on the output spikes. \n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "from utils import plot_evolution\nimport sinabs.layers as sl\nimport torch\n\n\nconst_current = torch.ones((1, 100, 1)) * 0.12\n\nalif_neuron = sl.ALIF(\n    tau_mem=40.0, tau_adapt=40.0, adapt_scale=20, norm_input=False, record_states=True\n)\nplot_evolution(alif_neuron, const_current)"
      ]
    }
  ],
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      "display_name": "Python 3",
      "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": "3.7.9"
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