def test_single_node(self):
logging.info("\t > ALN: Testing single node ...")
start = time.time()
aln = ALNModel()
aln.params["duration"] = 10.0 * 1000
aln.params["sigma_ou"] = 0.1 # add some noise
# load new initial parameters
aln.run(bold=True)
# access outputs
aln.xr()
aln.xr("BOLD")
end = time.time()
logging.info("\t > Done in {:.2f} s".format(end - start))
def test_network(self):
logging.info("\t > ALN: Testing brain network (chunkwise integration and BOLD" " simulation) ...")
start = time.time()
ds = Dataset("gw")
aln = ALNModel(Cmat=ds.Cmat, Dmat=ds.Dmat)
aln.params["duration"] = 10 * 1000
aln.run(chunkwise=True, bold=True, append_outputs=True)
# access outputs
aln.xr()
aln.xr("BOLD")
end = time.time()
logging.info("\t > Done in {:.2f} s".format(end - start))