Modelling the human lane-change execution behaviour through Multilayer Perceptrons and Convolutional Neural Networks

Driving is a highly complex task that involves the execution of multiple cognitive tasks belonging to different levels of abstraction. Traffic emerges from the interaction of a big number of agents implementing those behaviours, but until recent years, modelling it by the interaction of these agents in the so called micro-simulators was a nearly impossible task as their number grows. However, with the growing computing power it is possible to model increasingly large quantities of individual vehicles according to their individual behaviours. These models are usually composed of two sub-models for two well-defined tasks: car-following and lane-change. In the case of lane-change the literature proposes many different models, but few of them use Computational Intelligence (CI) techniques, and much less use personalization for reaching individual granularity. This study explores one of the two aspects of the lane-change called lane-change acceptance, where the driver performs or not a lane-change given his intention and the vehicle environment. We demonstrate how the lane-change acceptance of a specific driver can be learned from his lane change intention and surrounding environment in an urban scenario using CI techniques such as feed-forward Artificial Neural Network (ANN). We work with Multilayer Perceptron (MLP) and Convolutional Neural Networks (CNN) architectures. How they perform one against the other and how the different topologies affect both to the generalization of the problem and the learning process are studied.     

Unmasking a shady mirror effect: Recognition of normal versus obscured faces

Hockley, Hemsworth, and Consoli (1999) Hockley, W. E., Hemsworth, D. E. and Consoli, A. 1999. Shades of the mirror effect: Recognition of faces with and without sunglasses. Memory & Cognition, 27: 128–138. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar] found that following the study of normal faces, a recognition test of normal faces versus faces wearing sunglasses produced a mirror effect: The sunglasses manipulation decreased hit rates and increased false-alarm rates. The stimuli used by Hockley et al. (1999) Hockley, W. E., Hemsworth, D. E. and Consoli, A. 1999. Shades of the mirror effect: Recognition of faces with and without sunglasses. Memory & Cognition, 27: 128–138. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar] consisted of separate poses of models wearing or not wearing sunglasses. In the current experiments, we separately manipulated same versus different depictions of individual faces and whether or not the faces were partially obscured. The results of a simulation and four experiments suggest that the test-based, mirror effect observed by Hockley et al. (1999) Hockley, W. E., Hemsworth, D. E. and Consoli, A. 1999. Shades of the mirror effect: Recognition of faces with and without sunglasses. Memory & Cognition, 27: 128–138. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar] is actually two separable effects.     

An exploratory analysis of the latent structure of process data via action sequence autoencoders

Computer simulations have become a popular tool for assessing complex skills such as problem-solving. Log files of computer-based items record the human–computer interactive processes for each respondent in full. The response processes are very diverse, noisy, and of non-standard formats. Few generic methods have been developed to exploit the information contained in process data. In this paper we propose a method to extract latent variables from process data. The method utilizes a sequence-to-sequence autoencoder to compress response processes into standard numerical vectors. It does not require prior knowledge of the specific items and human–computer interaction patterns. The proposed method is applied to both simulated and real process data to demonstrate that the resulting latent variables extract useful information from the response processes.     

不公平感及相关决策的认知神经机制

公平是人类社会生活的基本规范之一,不公平感及其相关决策则是研究者们关注的重要课题。长期以来,该领域的研究一般采用最后通牒博弈或其变式展开。大量脑成像研究探查了关于不公平感及相关决策的认知神经机制,尤其集中探讨了最后通牒博弈的回应者对不公平提议进行反应的脑区及其对应功能。经常得到关注的脑区包括了前脑岛、前扣带皮层、背外侧前额叶、内侧前额叶、杏仁核和颞顶交界等。对特殊人群的不公平感及相关决策进行研究可以帮助检验或澄清上述重要脑区及脑网络在不公平感及相关决策中扮演的角色,同时也阐释特殊人群的社会认知功能的特点。近年来,相当数量的研究关注了不同情境因素(包括分配方案相关因素和社会情境相关因素)调制不公平感及相关决策的过程,并讨论其背后的认知神经机制。未来的研究更应利用多模态数据分析方法,同时结合基因和激素层面的研究,以期深入对不公平感及相关决策的心理和生理机制的理解。     

青少年风险决策的发展认知神经机制

随着认知神经科学技术的发展, 青少年风险决策的发展认知神经机制成为了新近的一个热点课题。从双系统理论模型(社会情感神经网络系统、认知控制神经网络系统)出发, 对与青少年风险决策相关的大脑结构、功能的变化进行了阐述, 重点分析了新近的大脑功能连接、脑网络的研究; 阐述了青少年风险决策认知神经机制的主要理论模型：双系统模型和三角模型。未来研究还应加强对认知神经机制理论模型的检验、整合和创新, 从社会认知神经科学的角度深入研究社会参照系统(同伴关系、亚文化等)在青少年风险决策中的作用及机制, 以及从认知神经层面如何预防和干预青少年高风险行为。     

工作记忆的认知模型与神经机制

本文评述了工作记忆认知模型的进展,阐述工作记忆神经机制研究的基本问题。研究者在工作记忆认知模型框架下,提出了工作记忆成分结构的脑模型。根据自己的研究探索,展望进一步的研究问题,以及TMS和fMRI/ERP等脑成像技术的结合运用对工作记忆认知神经科学研究的推动。     

Promoting Translational Research Among Movement Science,Occupational Science,and Occupational Therapy

Integration of research in the fields of neural control of movement and biomechanics (collectively referred to as movement science) with the field of human occupation directly benefits both areas of study. Specifically, incorporating many of the quantitative scientific methods and analyses employed in movement science can help accelerate the development of rehabilitation-relevant research in occupational therapy (OT) and occupational science (OS). Reciprocally, OT and OS, which focus on the performance of everyday activities (occupations) to promote health and well-being, provide theoretical frameworks to guide research on the performance of actions in the context of social, psychological, and environmental factors. Given both fields’ mutual interest in the study of movement as it relates to health and disease, the authors posit that combining OS and OT theories and principles with the theories and methods in movement science may lead to new, impactful, and clinically relevant knowledge. The first step is to ensure that individuals with OS or OT backgrounds are academically prepared to pursue advanced study in movement science. In this article, the authors propose 2 strategies to address this need.     

道德决策的机制及干预研究:自我相关性与风险水平的作用

现有的道德决策脑机制研究更多地关注了认知和情绪的交互作用,较少关注个体对"自我相关性"和"风险水平"信息的整合加工,更是忽视了帮助情境和伤害情境下道德决策的心理与脑机制的异同。因此,有必要通过行为、事件相关电位(ERP)和多模态脑功能成像(f MRI)等多种方法来系统考察帮助和伤害情境下自我相关性和风险水平交互影响道德决策的认知和神经机制,并进一步探讨共情训练对道德决策的干预作用。旨在揭示道德决策的时间进程和神经基础;探寻自我相关性与风险水平对道德决策的影响,及其在不同情境和共情水平下可能存在的变异;共情训练能否有效提升个体的道德决策水平。     

不同汉字解码技能与小学生阅读理解的关系

探讨不同汉字解码技能在小学生阅读理解发展中的作用。208名二、四年级学生完成了认读准确性、流利性、声旁意识、形旁意识等汉字解码技能测验及阅读理解和言语理解测验。结果表明,汉字解码技能是阅读理解变异的重要来源。汉字认读准确性对二、四年级学生的阅读理解均有显著的独立贡献,汉字认读流利性仅对二年级学生有显著的独立贡献,声旁与形旁意识没有显著的独立贡献。结果对认识儿童阅读发展及有效促进阅读学习具有启示。     

情绪加工的性别差异及神经机制

已有研究表明, 情绪加工存在显著性别差异。这主要表现为女性人群具有情绪识别优势, 更好的情绪记忆能力与更强的负性情绪易感性。此外, 情绪加工的性别差异也表现为情绪调节过程的不同：相比男性, 女性更善于抑制情绪行为, 却较难通过认知策略调节负性情绪。情绪加工的性别差异有重要生理基础, 与情绪脑结构, 荷尔蒙水平的男女差异有关。同时, 情绪加工的性别差异同女性更高的情绪障碍易感性有着密切联系：不善于调节负性情绪, 及更强的消极情绪易感性可能是女性更易患情绪障碍的重要原因。从情绪加工角度探讨情绪障碍的性别差异及其原因, 对于情绪障碍的预防和治疗具有重要意义。