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身份、能动性和意识从神经精细加工的时间动态中浮现。

The emergence of identity, agency and consciousness from the temporal dynamics of neural elaboration.

作者信息

Fesce Riccardo

机构信息

Department of Biomedical Sciences, Humanitas University, Medical School, Pieve Emanuele, Italy.

出版信息

Front Netw Physiol. 2024 Apr 2;4:1292388. doi: 10.3389/fnetp.2024.1292388. eCollection 2024.

DOI:10.3389/fnetp.2024.1292388
PMID:38628469
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11018992/
Abstract

Identity-differentiating self from external reality-and agency-being the author of one's acts-are generally considered intrinsic properties of awareness and looked at as mental constructs generated by consciousness. Here a different view is proposed. All physiological systems display complex time-dependent regulations to adapt or anticipate external changes. To interact with rapid changes, an animal needs a nervous system capable of modelling and predicting (not simply representing) it. Different algorithms must be employed to predict the momentary location of an object based on sensory information (received with a delay), or to design in advance and direct the trajectory of movement. Thus, the temporal dynamics of external events and action must be handled in differential ways, thereby generating the distinction between self and non-self ("identity") as an intrinsic computational construct in neuronal elaboration. Handling time is not what neurons are designed for. Neuronal circuits are based on parallel processing: each bit of information diverges on many neurons, each of which combines it with many other data. Spike firing reports the likelihood that the specific pattern the neuron is designed to respond to is present in the incoming data. This organization seems designed to process synchronous datasets. However, since neural networks can introduce delays in processing, time sequences can be transformed into simultaneous patterns and analysed as such. This way predictive algorithms can be implemented, and continually improved through neuronal plasticity. To successfully interact with the external reality, the nervous system must model and predict, but also differentially handle perceptual functions or motor activity, by putting in register information that becomes available at different time moments. Also, to learn through positive/negative reinforcement, modelling must establish a causal relation between motor control and its consequences: the contrast between phase lag in perception and phase lead (and control) in motor programming produces the emergence of identity (discerning self from surrounding) and agency (control on actions) as necessary computational constructs to model reality. This does not require any form of awareness. In a brain, capable of producing awareness, these constructs may evolve from mere computational requirements into mental (conscious) constructs.

摘要

区分自我与外部现实,以及能动性——作为自身行为的发起者——通常被视为意识的内在属性,并被看作是由意识产生的心理建构。在此提出一种不同的观点。所有生理系统都表现出复杂的时间依赖性调节,以适应或预测外部变化。为了与快速变化进行交互,动物需要一个能够对其进行建模和预测(而不仅仅是表征)的神经系统。必须采用不同的算法来根据感官信息(延迟接收)预测物体的瞬时位置,或者提前设计并引导运动轨迹。因此,外部事件和行动的时间动态必须以不同的方式处理,从而在神经元加工过程中产生自我与非自我(“身份”)之间的区分,作为一种内在的计算建构。处理时间并非神经元的设计目的。神经元回路基于并行处理:每一点信息在许多神经元上发散,每个神经元将其与许多其他数据相结合。动作电位发放报告了传入数据中存在神经元设计响应的特定模式的可能性。这种组织似乎是为处理同步数据集而设计的。然而,由于神经网络在处理过程中会引入延迟,时间序列可以被转换为同时出现的模式并以此进行分析。通过这种方式,可以实现预测算法,并通过神经元可塑性不断改进。为了成功地与外部现实进行交互,神经系统必须进行建模和预测,而且还必须通过将在不同时刻可用的信息进行登记,以不同的方式处理感知功能或运动活动。此外,为了通过正/负强化进行学习,建模必须在运动控制及其后果之间建立因果关系:感知中的相位滞后与运动编程中的相位超前(和控制)之间的对比,产生了身份(从周围环境中辨别自我)和能动性(对行动的控制)的出现,作为对现实进行建模的必要计算建构。这并不需要任何形式的意识。在一个能够产生意识的大脑中,这些建构可能会从单纯的计算需求演变为心理(有意识的)建构。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0644/11018992/047ed2b5c8b4/fnetp-04-1292388-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0644/11018992/d97b15739c4d/fnetp-04-1292388-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0644/11018992/047ed2b5c8b4/fnetp-04-1292388-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0644/11018992/d97b15739c4d/fnetp-04-1292388-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0644/11018992/047ed2b5c8b4/fnetp-04-1292388-g002.jpg

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