82 lines
1.7 KiB
Python
82 lines
1.7 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Created on Tue Aug 30 14:25:12 2022
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@author: timof
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"""
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import sys
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import os
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import json
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from plot import qtplot
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import math as m
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import numpy as np
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vect = np.vectorize
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@vect
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def log2(x):
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try:
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return m.log2(x)
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except ValueError:
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if x==0:
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return float(0)
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else:
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raise
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def new_folder(path):
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if not os.path.exists(path):
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os.makedirs(path)
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return path
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phase = np.vectorize(lambda x,y: (m.atan2(y,x)+m.pi)%(2*m.pi)-m.pi)
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diff = np.vectorize(lambda x,y: (y-x+m.pi)%(2*m.pi)-m.pi)
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H2 = lambda x: -x*m.log2(x)-(1-x)*m.log2(1-x)
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path = '/cloud/Public/_data/neuropercolation/2lay/steps=100100/'
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suffix = ''
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chi = chr(967)
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vareps = chr(949)
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vals = [[],[]]
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runsteps = 1000100
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eps_space = np.linspace(0.005, 0.5, 100)
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eps_space = eps_space[1::2]
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dims = list(range(3,10))#+[16,49]
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mode='density'
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ma=[]
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s=[]
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k=[]
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mk=[]
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lastkurt=None
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for dim in dims[-1:]:
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dimpath = new_folder(path + f'dim={dim:02}/')
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for epsilon in eps_space[:]:
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with open(dimpath+f"eps={round(epsilon,3):.3f}_activation.txt", 'r', encoding='utf-8') as f:
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activation = np.array(json.load(f)[:500])
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activation = list(zip(*activation))
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qtplot(f"Activity time series for eps={round(epsilon,3):.3f}",
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[list(range(500))]*2,
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activation,
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x_tag = 'time step',
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y_tag = f'activity density',
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y_range = (-1,1),
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export=True,
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path=dimpath+"evolution/",
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filename=f'eps={round(epsilon,3):.3f}_evolution.png',
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close=True)
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mode = 'density'
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#%%
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