neuron

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

# This is neuron class which defines the dynamics of a neuron. All the parameters are initialised and methods are included to check
# for spikes and apply lateral inhibition.

###################################################################################################################################
import os, sys
sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))
import numpy as np
import random
from matplotlib import pyplot as plt
from snn.parameters import param as par


'''
    Pth = Parameter threshold
'''

class neuron:
    def __init__(self):
        self.t_ref = 30
        self.t_rest = -1
        self.P = par.Prest
        self.Prest = par.Prest
    def check(self):
        if self.P>= self.Pth:
            self.P = self.Prest
            return 1
        elif self.P < par.Pmin:
            self.P  = par.Prest
            return 0
        else:
            return 0
    def inhibit(self):
        self.P  = par.Pmin
    def initial(self, th):
        self.Pth = th
        self.t_rest = -1
        self.P = par.Prest