48a1b8b3cafc4318de3b9ad517958756696126c3,brainiak/utils/fmrisim.py,,_noise_dict_update,#Any#,2025

Before Change

        noise_dict["drift_sigma"] = 0.45
    if "auto_reg_sigma" not in noise_dict:
        noise_dict["auto_reg_sigma"] = 0.45
    if "physiological_sigma" not in noise_dict:
        noise_dict["physiological_sigma"] = 0.1
    if "sfnr" not in noise_dict:
        noise_dict["sfnr"] = 30
    if "snr" not in noise_dict:
        noise_dict["snr"] = 30

After Change

    
    // Create the default dictionary
    default_dict = {"task_sigma": 0, "drift_sigma": 0, "auto_reg_sigma": 1,
                    "auto_reg_rho": [0.5], "ma_rho": [0.0],
                    "physiological_sigma": 0, "sfnr": 90, "snr": 50,
                    "max_activity": 1000, "voxel_size": [1.0, 1.0, 1.0],
                    "fwhm": 4, "matched": 1}

    // Check what noise is in the dictionary and add if necessary. Numbers
    // determine relative proportion of noise
    for default_key in default_dict:
        if default_key not in noise_dict:
            noise_dict[default_key] = default_dict[default_key]

    return noise_dict


def _fit_spatial(noise,

Instances