Publications by authors named "U Leon-Dominguez"

Background: Chat generative retrained transformer (ChatGPT) represents a groundbreaking advancement in Artificial Intelligence (AI-chatbot) technology, utilizing transformer algorithms to enhance natural language processing and facilitating their use for addressing specific tasks. These AI chatbots can respond to questions by generating verbal instructions similar to those a person would provide during the problem-solving process.

Aim: ChatGPT has become the fastest growing software in terms of user adoption in history, leading to an anticipated widespread use of this technology in the general population.

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Traffic accidents are a global concern due to the elevated mortality rates of both drivers and pedestrians. The World Health Organization declared 2011-2020 as the Decade of Action for Road Safety, endorsing initiatives to reduce traffic-related deaths. Yet, despite these incentives, fatal accidents still occur.

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Interest in the causal relation between consciousness and the underlying neuronal activity has grown in recent decades. Numerous experimental studies have been carried out on the brain structures and networks underlying consciousness in animal models, in patients with brain damage and with very precise functional neuroimaging. In spite of the great multitude of findings, there is no theoretical proposal that integrates this knowledge under a coherent theoretical framework based on the evidence obtained.

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The Prefrontal Cortex (PFC) is one of the principal brain regions studied in consciousness. Previous investigations suggest that the PFC is an important neural hub in both awareness and the manipulation of the content of consciousness. Despite a consensus in the scientific community regarding PFC function in cortico-cortical networks, there is still intense debate as to its role in the thalamocortical network and the formation of content of consciousness.

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The introduction of the point system driver's license in several European countries could offer a valid framework for evaluating driving skills. This is the first study to use this framework to assess the functional integrity of executive functions in middle-aged drivers with full points, partial points or no points on their driver's license (N = 270). The purpose of this study is to find differences in executive functions that could be determinants in safe driving.

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