Neurons_Exercise.ipynb

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   "source": [
    "# Chapter 2. Neural Modeling and Analysis: Exercise"
   ]
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   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "from scipy.integrate import odeint, ode"
   ]
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    "1) Draw the F-I curve for the H-H model."
   ]
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    "2) Run a network of IF neurons with simple pulse-connection instead of $\\alpha$ function."
   ]
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    "3) Simulate an artificial recurrent neural network and see the behaviors with different connection weights."
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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    "4) Implement Hebbian or STDP rule in the above network model and see how the network behavior and weights evolve with plasticity. "
   ]
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   "execution_count": null,
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