In [1]:
import matplotlib
from matplotlib import pylab
import cPickle
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import numpy as np
'''Open the file (uncomment the desired output)'''
#output = cPickle.load(open("Buffer_rotations_stimulus.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_connection_direct.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_connection_LIF.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_connection_two_ens_direct.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_connection_two_ens_LIF.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_two_ens_node_LIF.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_ensemble_array_LIF.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_with_scalar_one_ens_direct.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_with_scalar_one_ens_LIF.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_with_scalar_two_ens_direct.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_with_scalar_two_ens_LIF.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_ensemble_array_scalar_LIF.p", "rb"))
#output = cPickle.load(open("Buffer_manipulations_ensemble_array_scalar_LIF.p", "rb"))
#output = cPickle.load(open("Buffer_scale_ensemble_array_scalar_LIF_1.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_connection_LIF_10000.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_larger_images_32.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_larger_images_64.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_in_connection_with_ens_arr_LIF.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_in_connection_with_ens_arr_direct.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_in_connection_ensemble_array_direct.p", "rb"))
output = cPickle.load(open("Buffer_rotations_in_connection_ensemble_array_LIF_100.p", "rb"))
dim = 28
#%matplotlib inline
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'''Animation for Probe output'''
fig = plt.figure()
def updatefig(i):
im = pylab.imshow(np.reshape([0. if x < 0.00001 else x for x in output[i]], (dim, dim), 'F'), cmap=plt.get_cmap('Greys_r'),
animated=True)
return im,
ani = animation.FuncAnimation(fig, updatefig, interval=1, blit=True)
plt.show()
In [33]:
'''These ensembles have outputs including the scalar value, so each output must be resized '''
#output = cPickle.load(open("Buffer_rotations_with_scalar_resized_basis_direct.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_with_scalar_resized_basis_LIF.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_in_connection_ensemble_array_scalar_direct.p", "rb"))
#output = cPickle.load(open("Buffer_rotations_in_connection_ensemble_array_scalar_LIF.p", "rb"))
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'''For the ensemble with 28*28 +1 dimensions'''
'''Animation for Probe output'''
fig = plt.figure()
def updatefig(i):
im = pylab.imshow(np.reshape([0. if x < 0.00001 else x for x in output[i][:-1]],
(dim, dim), 'F'), cmap=plt.get_cmap('Greys_r'),animated=True)
return im,
ani = animation.FuncAnimation(fig, updatefig, interval=1, blit=True)
plt.show()
In [13]:
'''These ensembles have outputs including 4 scalar values, so each output must be resized '''
#output = cPickle.load(open("Buffer_manipulations_in_connection_ensemble_array_scalar_direct.p", "rb"))
output = cPickle.load(open("Buffer_manipulations_in_connection_ensemble_array_scalar_LIF.p", "rb"))
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'''For the ensemble with 28*28 +1 dimensions'''
'''Animation for Probe output'''
fig = plt.figure()
def updatefig(i):
im = pylab.imshow(np.reshape([0. if x < 0.00001 else x for x in output[i][4:]],
(dim, dim), 'F'), cmap=plt.get_cmap('Greys_r'),animated=True)
return im,
ani = animation.FuncAnimation(fig, updatefig, interval=1, blit=True)
plt.show()