gpiantoni

from nibabel import load
from subprocess import check_output
from numpy import unique

AAL_ATLAS = '/usr/share/mricron/templates/aal.nii.gz'
VASC_TERR_ATLAS = 'CortVascTerritoriesTatu.nii'
vasc_terr_atlas_aal = 'CortVascTerritoriesTatu_aal.nii.gz'
OUTPUT_CSV = 'n_voxels_in_vascterr.csv'

out = check_output([

gpiantoni

#!/usr/bin/env python3

from argparse import ArgumentParser, RawDescriptionHelpFormatter
from datetime import timedelta, datetime
from json import dump
from logging import getLogger, StreamHandler, Formatter, DEBUG
from pathlib import Path
from sys import version

from numpy import ndarray, savetxt

gpiantoni

% parameters
F = 160;
A = 1;
n_trl = 100;
fs = 1000;
T = [-1, 1];
labels = {'chan0'
          'chan1'
          'chan2'
          'chan3'

gpiantoni

function data = read_phypno(phy_file, begtime, endtime)
%READ_PHYPNO read phypno .phy/.dat files
%
% phy_file : path to .phy file
% begtime : start of time of interest in s
% endtime : end of time of interest in s
%
% data : data in fieldtrip format, trials are memory-mapped
%
% It needs jsonlab to read the header file, so download and add to your

gpiantoni

from numpy import float32, load
from vispy.geometry import MeshData
from vispy.gloo import VertexBuffer
from vispy.io.image import write_png
from vispy.plot import Fig
from vispy.scene.visuals import create_visual_node
from vispy.visuals import Visual

# download https://dl.dropboxusercontent.com/u/66601/fsaverage.npz
surf = load('fsaverage.npz')