现在是时候了:通过人际交往方法实现生成神经现象学的运作
Anne Monnier1,2, Lena Adel1,2,3, Guillaume Dumas1,2,4
1Precision Psychiatry and Social Physiology laboratory (A.17.004), Centre de recherche Azrieli du CHU Sainte-Justine, 3175 chemin de la Côte-Sainte-Catherine, Montréal (QC) H3T 1C5, Canada.
Neuroscience of consciousness
|December 29, 2025
概括
生成性神经现象学整合了第一人称经验和第三人称神经科学,以理解生活经验. 这种更新的方法强调了相互主体性和社会动态,在精神病学中有应用.
科学领域:
- 认知科学 认知科学
- 神经科学是一个神经科学.
- 现象学的现象学
背景情况:
- 神经现象学将第一人称主观经验与第三人称神经行为数据相结合.
- 生活经验是由主体间,社会,文化和历史因素所塑造的.
- 现有的神经现象学主要集中在个人经验上.
研究的目的:
- 通过强调跨主体和社会维度,更新神经现象学.
- 提出一种适合当前科学界的"生成神经现象学"方法.
- 澄清"生成"在现象学和建模中的含义.
主要方法:
- 从个人转向多人现象学方法,以捕捉跨主体性.
- 扩大神经科学,包括多式联络人际同步措施.
- 利用计算工具和各种数学形式来整合观点.
主要成果:
- 提出的方法通过结合社会和跨主体方面的方面,丰富了对生活经验的理解.
- 神经现象学的计算建模不一定会支持计算主义作为经验的假设.
- 在自闭症和家庭治疗中的案例研究表明了临床相关性和翻译潜力.
结论:
- 生成性神经现象学为研究生活经验的复杂性提供了一个强大的框架.
- 更新的方法在精神病学中的临床应用中具有显著的翻译潜力.
- 整合跨主体性和社会动态对于全面理解人类经验至关重要.
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