from os.path import join
import numpy as np
from pycog.figtools import apply_alpha, Figure
from pycog.utils import get_here, get_parent
from examples.analysis import mante
import paper
#=========================================================================================
# Setup
#=========================================================================================
here = get_here(__file__)
base = get_parent(here)
figspath = join(here, 'figs')
trialsfile = join(paper.scratchpath, 'mante_areas', 'trials', 'mante_areas_trials.pkl')
sortedfile = join(paper.scratchpath, 'mante_areas', 'trials', 'mante_areas_sorted.pkl')
betafile = join(base, 'examples', 'work', 'data', 'mante_areas',
'mante_areas_beta.pkl')
units = [10, 23, 25, 28]
#=========================================================================================
# Figure setup
#=========================================================================================
w = 7.5
h = 6.7
import numpy as np
from pycog import RNN
from pycog.figtools import gradient, mpl, Figure
from pycog.utils import get_here, get_parent
from examples.analysis import rdm
import paper
#=========================================================================================
# Paths
#=========================================================================================
here = get_here(__file__)
base = get_parent(here)
figspath = join(here, 'figs')
modelfile = join(base, 'examples', 'models', 'rdm_dense.py')
savefile = join(base, 'examples', 'work', 'data', 'rdm_dense', 'rdm_dense.pkl')
#=========================================================================================
m = imp.load_source('model', modelfile)
rnn = RNN(savefile, {'dt': 0.5}, verbose=False)
trial_func = m.generate_trial
trial_args = {
'name': 'test',
'catch': False,