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 Apr 7;15:649679. doi: 10.3389/fncom.2021.649679. eCollection 2021.
The relation between mental states and brain states is important in computational neuroscience, and in psychiatry in which interventions with medication are made on brain states to alter mental states. The relation between the brain and the mind has puzzled philosophers for centuries. Here a neuroscience approach is proposed in which 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 allows the supervenient (e.g., mental) properties to be emergent, though once understood at the mechanistic levels they may seem less emergent, and expected. 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. This approach may provide a way of thinking about brains and minds that is different from dualism and from reductive physicalism, and which is rooted in the computational processes that are fundamental to understanding brain and mental events, and that mean that the mental and mechanistic levels are linked by the computational process being performed. Explanations at the different levels of operation may be useful in different ways. For example, if we wish to understand how arithmetic is performed in the brain, description at the mental level of the algorithm being computed will be useful. But if the brain operates to result in mental disorders, then understanding the mechanism at the neural processing level may be more useful, in for example, the treatment of psychiatric disorders.
心理状态与大脑状态之间的关系在计算神经科学以及精神病学中都很重要,在精神病学中,通过药物干预大脑状态来改变心理状态。大脑与心智的关系已经困扰了哲学家几个世纪。本文提出了一种神经科学方法,其中亚神经元、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,包含关于世界的内容。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。这使得随附的(例如,心理的)属性能够涌现,尽管一旦在机制层面被理解,它们可能看起来不那么具有涌现性,而是可被预期的。这种心脑理论允许心理事件在种类上不同于构成它们基础的机制事件;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。这种方法可能提供一种思考大脑和心智的方式,它不同于二元论和还原物理主义,并且植根于对理解大脑和心理事件至关重要的计算过程,这意味着心理层面和机制层面通过正在执行的计算过程相联系。不同操作层面的解释可能以不同方式有用。例如,如果我们想了解大脑中算术是如何执行的,在心理层面描述正在被计算的算法将是有用的。但如果大脑运作导致精神障碍,那么在神经处理层面理解机制可能更有用,例如在精神疾病的治疗中。