def neural_conv(fltr, inputs):
    s = len(inputs)
    x = np.convolve(fltr, inputs)
    extra = int(floor(len(fltr)/2))
    return x[extra: len(x) - extra]
>>> @log_calls(settings=g_settings_dict)
dataset/ETHPy150Open robclewley/compneuro/WCcortexSTM.py/neural_conv--crossover with--dataset/ETHPy150Open Twangist/log_calls/log_calls/tests/test_no_deco__via_dict.py/test_no_deco__via_dict