{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a5702e7b",
   "metadata": {},
   "source": [
    "# 5-minute tour\n",
    "\n",
    "**Who it's for:** everyone — this single example serves both worlds. Computational neuroscientists get a working spiking network; brain-inspired-computing readers get the exact same model that is later trained with gradients.\n",
    "\n",
    "**What you'll learn:** how to build an excitatory–inhibitory (E/I) balanced network, run it efficiently with `brainstate.transform`, and plot a spike raster — the \"aha\" that shows what `brainpy.state` does."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3b129ad",
   "metadata": {},
   "source": [
    "## Imports\n",
    "\n",
    "Everything comes from the public ecosystem surface: `brainpy.state` for the models, `brainstate` for state + compilation, `braintools` for initializers, and `brainunit` for physical units."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a7a7302c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-17T09:11:34.618234Z",
     "iopub.status.busy": "2026-06-17T09:11:34.617992Z",
     "iopub.status.idle": "2026-06-17T09:11:38.631754Z",
     "shell.execute_reply": "2026-06-17T09:11:38.630584Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "An NVIDIA GPU may be present on this machine, but a CUDA-enabled jaxlib is not installed. Falling back to cpu.\n"
     ]
    }
   ],
   "source": [
    "import brainpy\n",
    "import brainstate\n",
    "import braintools\n",
    "import brainunit as u\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d18ccfbd",
   "metadata": {},
   "source": [
    "## The model: a COBA E/I network\n",
    "\n",
    "We build the classic conductance-based (COBA) balanced network of Vogels & Abbott (2005) / Brette et al. (2007): 3200 excitatory and 800 inhibitory leaky integrate-and-fire neurons, sparsely and recurrently connected.\n",
    "\n",
    "Notice the structure of each projection — this is the keystone **AlignPost** design (`AlignPostProj`), built from four roles:\n",
    "\n",
    "- `comm` — the connection matrix (here a sparse event-driven connectivity, `EventFixedProb`),\n",
    "- `syn` — the synapse dynamics (`Expon.desc`, an exponential synapse *describer*),\n",
    "- `out` — how the synapse drives the target (`COBA.desc`, conductance-based),\n",
    "- `post` — the postsynaptic population.\n",
    "\n",
    "We cover *why* this shape matters in [the keystone chapter](/concepts/alignpre-alignpost)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a532ed68",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-17T09:11:38.634351Z",
     "iopub.status.busy": "2026-06-17T09:11:38.633822Z",
     "iopub.status.idle": "2026-06-17T09:11:38.639446Z",
     "shell.execute_reply": "2026-06-17T09:11:38.638825Z"
    }
   },
   "outputs": [],
   "source": [
    "class EINet(brainstate.nn.Module):\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "        self.n_exc, self.n_inh = 3200, 800\n",
    "        self.num = self.n_exc + self.n_inh\n",
    "        # One shared population of refractory LIF neurons.\n",
    "        self.N = brainpy.state.LIFRef(\n",
    "            self.num,\n",
    "            V_rest=-60. * u.mV, V_th=-50. * u.mV, V_reset=-60. * u.mV,\n",
    "            tau=20. * u.ms, tau_ref=5. * u.ms,\n",
    "            V_initializer=braintools.init.Normal(-55., 2., unit=u.mV),\n",
    "        )\n",
    "        # Excitatory projection (reversal potential 0 mV).\n",
    "        self.E = brainpy.state.AlignPostProj(\n",
    "            comm=brainstate.nn.EventFixedProb(\n",
    "                self.n_exc, self.num, conn_num=0.02, conn_weight=0.6 * u.mS),\n",
    "            syn=brainpy.state.Expon.desc(self.num, tau=5. * u.ms),\n",
    "            out=brainpy.state.COBA.desc(E=0. * u.mV),\n",
    "            post=self.N,\n",
    "        )\n",
    "        # Inhibitory projection (reversal potential -80 mV).\n",
    "        self.I = brainpy.state.AlignPostProj(\n",
    "            comm=brainstate.nn.EventFixedProb(\n",
    "                self.n_inh, self.num, conn_num=0.02, conn_weight=6.7 * u.mS),\n",
    "            syn=brainpy.state.Expon.desc(self.num, tau=10. * u.ms),\n",
    "            out=brainpy.state.COBA.desc(E=-80. * u.mV),\n",
    "            post=self.N,\n",
    "        )\n",
    "\n",
    "    def update(self, t, inp):\n",
    "        with brainstate.environ.context(t=t):\n",
    "            spk = self.N.get_spike() != 0.\n",
    "            self.E(spk[:self.n_exc])   # route excitatory spikes\n",
    "            self.I(spk[self.n_exc:])   # route inhibitory spikes\n",
    "            self.N(inp)                # advance neurons one step\n",
    "            return self.N.get_spike()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2553066",
   "metadata": {},
   "source": [
    "## Build and initialize\n",
    "\n",
    "Constructing the module allocates its parameters; `brainstate.nn.init_all_states` then allocates and resets every dynamic state (membrane potentials, synaptic conductances) so the network is ready to run."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bbcef091",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-17T09:11:38.641087Z",
     "iopub.status.busy": "2026-06-17T09:11:38.640909Z",
     "iopub.status.idle": "2026-06-17T09:11:41.650483Z",
     "shell.execute_reply": "2026-06-17T09:11:41.649655Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "EINet(\n",
       "  n_exc=3200,\n",
       "  n_inh=800,\n",
       "  num=4000,\n",
       "  N=LIFRef(\n",
       "    in_size=(4000,),\n",
       "    out_size=(4000,),\n",
       "    before_updates={\n",
       "      \"(<class 'brainpy.state.Expon'>, (4000,), {'tau': '5. ms'}) // (<class 'brainpy.state.COBA'>, (), {'E': '0. mV'})\": _AlignPost(\n",
       "        syn=Expon(\n",
       "          in_size=(4000,),\n",
       "          out_size=(4000,),\n",
       "          tau=Quantity(5., \"ms\"),\n",
       "          g_initializer=Constant(value=0. mS),\n",
       "          g=HiddenState(\n",
       "            value=Quantity(~float32[4000], \"mS\")\n",
       "          )\n",
       "        ),\n",
       "        out=COBA(\n",
       "          E=Quantity(0., \"mV\")\n",
       "        )\n",
       "      ),\n",
       "      \"(<class 'brainpy.state.Expon'>, (4000,), {'tau': '10. ms'}) // (<class 'brainpy.state.COBA'>, (), {'E': '-80. mV'})\": _AlignPost(\n",
       "        syn=Expon(\n",
       "          in_size=(4000,),\n",
       "          out_size=(4000,),\n",
       "          tau=Quantity(10., \"ms\"),\n",
       "          g_initializer=Constant(value=0. mS),\n",
       "          g=HiddenState(\n",
       "            value=Quantity(~float32[4000], \"mS\")\n",
       "          )\n",
       "        ),\n",
       "        out=COBA(\n",
       "          E=Quantity(-80., \"mV\")\n",
       "        )\n",
       "      )\n",
       "    },\n",
       "    current_inputs={\n",
       "      'AlignPostProj0': COBA(...),\n",
       "      'AlignPostProj1': COBA(...)\n",
       "    },\n",
       "    spk_reset=soft,\n",
       "    spk_fun=ReluGrad(alpha=0.3, width=1.0),\n",
       "    R=Quantity(1., \"ohm\"),\n",
       "    tau=Quantity(20., \"ms\"),\n",
       "    tau_ref=Quantity(5., \"ms\"),\n",
       "    V_th=Quantity(-50., \"mV\"),\n",
       "    V_rest=Quantity(-60., \"mV\"),\n",
       "    V_reset=Quantity(-60., \"mV\"),\n",
       "    V_initializer=Normal(mean=-55.0, std=2.0),\n",
       "    V=HiddenState(\n",
       "      value=Quantity(float32[4000], \"mV\")\n",
       "    ),\n",
       "    last_spike_time=ShortTermState(\n",
       "      value=Quantity(~float32[4000], \"ms\")\n",
       "    )\n",
       "  ),\n",
       "  E=AlignPostProj(\n",
       "    name=AlignPostProj0,\n",
       "    modules=(),\n",
       "    merging=True,\n",
       "    comm=EventFixedNumConn(\n",
       "      in_size=(3200,),\n",
       "      out_size=(4000,),\n",
       "      efferent_target=post,\n",
       "      conn_num=80,\n",
       "      allow_multi_conn=True,\n",
       "      weight=ParamState(\n",
       "        value=Quantity(~float32[], \"mS\")\n",
       "      ),\n",
       "      conn=FixedNumPerPre(float32[3200, 4000], nse=256000)\n",
       "    ),\n",
       "    syn=Expon(...),\n",
       "    out=COBA(...),\n",
       "    post=LIFRef(...)\n",
       "  ),\n",
       "  I=AlignPostProj(\n",
       "    name=AlignPostProj1,\n",
       "    modules=(),\n",
       "    merging=True,\n",
       "    comm=EventFixedNumConn(\n",
       "      in_size=(800,),\n",
       "      out_size=(4000,),\n",
       "      efferent_target=post,\n",
       "      conn_num=80,\n",
       "      allow_multi_conn=True,\n",
       "      weight=ParamState(\n",
       "        value=Quantity(~float32[], \"mS\")\n",
       "      ),\n",
       "      conn=FixedNumPerPre(float32[800, 4000], nse=64000)\n",
       "    ),\n",
       "    syn=Expon(...),\n",
       "    out=COBA(...),\n",
       "    post=LIFRef(...)\n",
       "  )\n",
       ")"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "net = EINet()\n",
    "brainstate.nn.init_all_states(net)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7d3afb5",
   "metadata": {},
   "source": [
    "## Run the simulation\n",
    "\n",
    "We advance the network for 1000 ms with a constant external drive.\n",
    "\n",
    "We **never** step the model with a bare Python `for` loop. `brainstate.transform.for_loop` lowers the *entire* time loop into a single compiled XLA program — the body is traced once, fused, and the per-step outputs are stacked for you. (For other shapes of work use `scan`, `jit`, or the `checkpointed_*` variants.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ddb136de",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-17T09:11:41.652619Z",
     "iopub.status.busy": "2026-06-17T09:11:41.652164Z",
     "iopub.status.idle": "2026-06-17T09:11:41.889694Z",
     "shell.execute_reply": "2026-06-17T09:11:41.888720Z"
    }
   },
   "outputs": [],
   "source": [
    "with brainstate.environ.context(dt=0.1 * u.ms):\n",
    "    times = u.math.arange(0. * u.ms, 1000. * u.ms, brainstate.environ.get_dt())\n",
    "    spikes = brainstate.transform.for_loop(\n",
    "        lambda t: net.update(t, 20. * u.mA), times)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ab93417",
   "metadata": {},
   "source": [
    "## Visualize: a spike raster\n",
    "\n",
    "`spikes` has shape `[time, neuron]`. We find where spikes occurred and scatter neuron index against time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f9ea3c8e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-17T09:11:41.892536Z",
     "iopub.status.busy": "2026-06-17T09:11:41.892213Z",
     "iopub.status.idle": "2026-06-17T09:11:45.799475Z",
     "shell.execute_reply": "2026-06-17T09:11:45.798618Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t_idx, n_idx = u.math.where(spikes)\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.scatter(times[t_idx].to_decimal(u.ms), n_idx, s=1, color='black')\n",
    "plt.xlabel('Time (ms)')\n",
    "plt.ylabel('Neuron index')\n",
    "plt.title('COBA E/I network — spike raster')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7d1cef9",
   "metadata": {},
   "source": [
    "## See also\n",
    "\n",
    "- {doc}`/concepts/index` — the Core Concepts spine: why this design works, ending in the keystone {doc}`AlignPre/AlignPost chapter </concepts/alignpre-alignpost>`.\n",
    "- {doc}`/get-started/mental-model` — the four big ideas behind the code you just ran.\n",
    "- {doc}`/brainpy-style/index` — go deeper with the BrainPy-style tutorials and how-to guides, including {doc}`the E/I network tutorial </brainpy-style/tutorials/03-ei-balanced-network>`."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "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": "3.13.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
