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Autonomic and central nervous system correlates of cognitive control training for attentional disorders

自主神经和中枢神经系统与注意力障碍认知控制训练的相关性

基本信息

批准号：
1950395
负责人：
金额：
--
依托单位：
University of Nottingham
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2017
资助国家：
英国
起止时间：
2017 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-1950395
关键词：
Autonomic central nervous system correlates

项目摘要

This project will investigate how humans integrate sensory signals and expectations about the environment. It has long been known that human perception is a process during which the true state of the world has to be inferred based on ambiguous sensory signals. Theoretical frameworks such as Predictive coding and the Bayesian hypothesis have provided theoretical explanations how this may be achieved. We will study this using a combination of electrophysiological recordings and cognitive experiments in healthy human volunteers and schizophrenic patients. In addition, to probe the role of neurotransmitter systems in feedforwarding sensory signals vs feedback control of sensory systems by probabilistic expectations, pharmacological challenges shall be combined with these approaches. Besides this empirical work, the aim is to model both the behavioural and the neuronal data by generative models of human cognition and human brain activity. The student will be trained in any of these techniques (analysis of brain imaging data, experimental psychology/psychophysics, computational modelling of data) and will be working with patients - the emphasis depending on the student's background and specific interests. This research will be conducted in the context of collaborations both within the University of Nottingham as well as other national and international institutions.

该项目将研究人类如何整合感官信号和对环境的期望。人们早就知道，人类的感知是一个过程，在这个过程中，世界的真实状态必须根据模糊的感官信号来推断。预测编码和贝叶斯假设等理论框架提供了如何实现这一目标的理论解释。我们将结合电生理记录和认知实验，在健康志愿者和精神分裂症患者中研究这一点。此外，为了探索神经递质系统在前馈感觉信号中的作用与通过概率期望对感觉系统的反馈控制，药理学挑战应与这些方法相结合。除了这项经验性的工作，目的是通过人类认知和人类大脑活动的生成模型来模拟行为和神经元数据。学生将接受任何这些技术（脑成像数据分析，实验心理学/心理物理学，数据的计算建模）的培训，并将与患者一起工作-重点取决于学生的背景和具体兴趣。这项研究将在诺丁汉大学以及其他国家和国际机构的合作背景下进行。