People studying machine learning are not like people running a psychology experiment. If you give the same code, data and computers to two different teams, they will get the same results, and they will understand why that happens.

That's because a machine learning system has been built up from known principles and hardware; whereas the human brain is not fully understood, so researchers must work their way down from observed evidence to induce theories.