################################################ README #########################################################

# This file contains all the parameters of the network.

#################################################################################################################

class param:
    scale = 1
    T = 400
    t_back = -20
    t_fore = 20

    # pixel_x = 28
    pixel_x = 8
    Prest = 0
    m = pixel_x * pixel_x  # Number of neurons in first layer
    # en si n = 3
    n = 3  # Number of neurons in second layer
    Pmin = -500 * scale
    # Pth = 5
    # D = 0.7
    w_max = 1.5 * scale
    w_min = -1.2 * scale
    sigma = 0.1  # 0.02
    A_plus = 0.8  # time difference is positive i.e negative reinforcement
    A_minus = 0.3  # 0.01 # time difference is negative i.e positive reinforcement
    tau_plus = 8
    tau_minus = 5

    # izetez 12
    epoch = 100

    fr_bits = 12
    int_bits = 12
