Rolls Edmund T
Oxford Centre for Computational Neuroscience, Oxford, United Kingdom.
Department of Computer Science, University of Warwick, Coventry, United Kingdom.
Front Comput Neurosci. 2021 Jul 8;15:706505. doi: 10.3389/fncom.2021.706505. eCollection 2021.
A neuroscience-based approach has recently been proposed for the relation between the mind and the brain. The proposal is that events at the sub-neuronal, neuronal, and neuronal network levels take place simultaneously to perform a computation that can be described at a high level as a mental state, with content about the world. It is argued that as the processes at the different levels of explanation take place at the same time, they are linked by a non-causal supervenient relationship: causality can best be described in brains as operating within but not between levels. This mind-brain theory allows mental events to be different in kind from the mechanistic events that underlie them; but does not lead one to argue that mental events cause brain events, or vice versa: they are different levels of explanation of the operation of the computational system. Here, some implications are developed. It is proposed that causality, at least as it applies to the brain, should satisfy three conditions. First, interventionist tests for causality must be satisfied. Second, the causally related events should be at the same level of explanation. Third, a temporal order condition must be satisfied, with a suitable time scale in the order of 10 ms (to exclude application to quantum physics; and a cause cannot follow an effect). Next, although it may be useful for different purposes to describe causality involving the mind and brain at the mental level, or at the brain level, it is argued that the brain level may sometimes be more accurate, for sometimes causal accounts at the mental level may arise from confabulation by the mentalee, whereas understanding exactly what computations have occurred in the brain that result in a choice or action will provide the correct causal account for why a choice or action was made. Next, it is argued that possible cases of "downward causation" can be accounted for by a within-levels-of-explanation account of causality. This computational neuroscience approach provides an opportunity to proceed beyond Cartesian dualism and physical reductionism in considering the relations between the mind and the brain.
最近有人提出了一种基于神经科学的方法来解释心智与大脑之间的关系。该提议认为,亚神经元、神经元和神经元网络层面的事件同时发生,以执行一种计算,这种计算在高层次上可被描述为一种心理状态,其内容与外部世界相关。有人认为,由于不同解释层面的过程同时发生,它们通过一种非因果的随附关系相联系:在大脑中,因果关系最好被描述为在各层面内部而非层面之间起作用。这种心智 - 大脑理论允许心理事件在本质上不同于作为其基础的机械事件;但并不导致人们认为心理事件会导致大脑事件,反之亦然:它们是对计算系统运作的不同解释层面。在此,探讨了一些相关影响。有人提出,至少就应用于大脑而言,因果关系应满足三个条件。首先,必须满足因果关系的干预主义测试。其次,因果相关的事件应处于相同的解释层面。第三,必须满足时间顺序条件,合适的时间尺度约为10毫秒(以排除应用于量子物理学的情况;原因不能先于结果)。接下来,虽然出于不同目的,在心理层面或大脑层面描述涉及心智和大脑的因果关系可能有用,但有人认为大脑层面有时可能更准确,因为有时心理层面的因果解释可能源于心智主体的虚构,而准确理解大脑中发生了哪些计算导致了选择或行动,将为做出该选择或行动的原因提供正确的因果解释。接下来,有人认为“向下因果关系”的可能情况可以通过因果关系的层面内解释来解释。这种计算神经科学方法为超越笛卡尔二元论和物理还原论来思考心智与大脑之间的关系提供了契机。