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plot_TVB_nodes.py
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# ============================================================================
#
# PUBLIC DOMAIN NOTICE
#
# National Institute on Deafness and Other Communication Disorders
#
# This software/database is a "United States Government Work" under the
# terms of the United States Copyright Act. It was written as part of
# the author's official duties as a United States Government employee and
# thus cannot be copyrighted. This software/database is freely available
# to the public for use. The NIDCD and the U.S. Government have not placed
# any restriction on its use or reproduction.
#
# Although all reasonable efforts have been taken to ensure the accuracy
# and reliability of the software and data, the NIDCD and the U.S. Government
# do not and cannot warrant the performance or results that may be obtained
# by using this software or data. The NIDCD and the U.S. Government disclaim
# all warranties, express or implied, including warranties of performance,
# merchantability or fitness for any particular purpose.
#
# Please cite the author in any work or product based on this material.
#
# ==========================================================================
# ***************************************************************************
#
# Large-Scale Neural Modeling software (LSNM)
#
# Section on Brain Imaging and Modeling
# Voice, Speech and Language Branch
# National Institute on Deafness and Other Communication Disorders
# National Institutes of Health
#
# This file (plot_TVB_nodes.py) was created on June 17 2015
#
#
# Author: Antonio Ulloa. Last updated by Antonio Ulloa on June 17 2015
# **************************************************************************/
# plot_TVB_nodes.py
#
# Plot electrical activity in given TVB nodes in a preprocessed TVB simulation
# file with extension *.npy
import numpy as np
import matplotlib.pyplot as pl
RawData = np.load("../simulator/wilson_cowan_brain_998_nodes.npy")
pl.plot(RawData[:,0,345])
pl.plot(RawData[:,0,393])
pl.plot(RawData[:,0,413])
pl.plot(RawData[:,0,74])
pl.grid(True)
pl.show()