Chapter 2. Neural Modeling and Analysis: Exercise

Chapter 2. Neural Modeling and Analysis: Exercise#

import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
from scipy.integrate import odeint, ode

  1. Draw the F-I curve for the H-H model.

  1. Run a network of IF neurons with simple pulse-connection instead of \(\alpha\) function.

  1. Simulate an artificial recurrent neural network and see the behaviors with different connection weights.

  1. Implement Hebbian or STDP rule in the above network model and see how the network behavior and weights evolve with plasticity.