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))