Beyond simple laboratory studies: Developing sophisticated models to study rich behavior

IF 13.7 1区 生物学 Q1 BIOLOGY
Antonella Maselli , Jeremy Gordon , Mattia Eluchans , Gian Luca Lancia , Thomas Thiery , Riccardo Moretti , Paul Cisek , Giovanni Pezzulo
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引用次数: 12

Abstract

Psychology and neuroscience are concerned with the study of behavior, of internal cognitive processes, and their neural foundations. However, most laboratory studies use constrained experimental settings that greatly limit the range of behaviors that can be expressed. While focusing on restricted settings ensures methodological control, it risks impoverishing the object of study: by restricting behavior, we might miss key aspects of cognitive and neural functions. In this article, we argue that psychology and neuroscience should increasingly adopt innovative experimental designs, measurement methods, analysis techniques and sophisticated computational models to probe rich, ecologically valid forms of behavior, including social behavior. We discuss the challenges of studying rich forms of behavior as well as the novel opportunities offered by state-of-the-art methodologies and new sensing technologies, and we highlight the importance of developing sophisticated formal models. We exemplify our arguments by reviewing some recent streams of research in psychology, neuroscience and other fields (e.g., sports analytics, ethology and robotics) that have addressed rich forms of behavior in a model-based manner. We hope that these “success cases” will encourage psychologists and neuroscientists to extend their toolbox of techniques with sophisticated behavioral models – and to use them to study rich forms of behavior as well as the cognitive and neural processes that they engage.

超越简单的实验室研究:开发复杂的模型来研究丰富的行为
心理学和神经科学关注的是行为、内部认知过程及其神经基础的研究。然而,大多数实验室研究使用受限的实验设置,这极大地限制了可以表达的行为范围。虽然专注于受限制的环境确保了方法上的控制,但它有使研究对象变得贫瘠的风险:通过限制行为,我们可能会错过认知和神经功能的关键方面。在本文中,我们认为心理学和神经科学应该越来越多地采用创新的实验设计、测量方法、分析技术和复杂的计算模型来探索丰富的、生态有效的行为形式,包括社会行为。我们讨论了研究丰富的行为形式所面临的挑战,以及由最先进的方法和新的传感技术提供的新机会,我们强调了开发复杂的正式模型的重要性。我们通过回顾最近在心理学、神经科学和其他领域(例如,运动分析、行为学和机器人)的一些研究流来举例说明我们的论点,这些研究流以基于模型的方式解决了丰富的行为形式。我们希望这些“成功案例”将鼓励心理学家和神经科学家用复杂的行为模型扩展他们的技术工具箱,并利用它们来研究丰富的行为形式,以及它们所涉及的认知和神经过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physics of Life Reviews
Physics of Life Reviews 生物-生物物理
CiteScore
20.30
自引率
14.50%
发文量
52
审稿时长
8 days
期刊介绍: Physics of Life Reviews, published quarterly, is an international journal dedicated to review articles on the physics of living systems, complex phenomena in biological systems, and related fields including artificial life, robotics, mathematical bio-semiotics, and artificial intelligent systems. Serving as a unifying force across disciplines, the journal explores living systems comprehensively—from molecules to populations, genetics to mind, and artificial systems modeling these phenomena. Inviting reviews from actively engaged researchers, the journal seeks broad, critical, and accessible contributions that address recent progress and sometimes controversial accounts in the field.
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