Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics: Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020, October 10-16, 2020, Moscow, Russia
This book reports on theoretical and experimental research answering key questions in neuroscience, philosophy of mind, and cognitive research. It gives a special emphasis on findings achieved within the territory of the former U.S.S.R, which has remained largely unknown to an international readership. The volume gathers authoritative studies on cognitive development, consciousness, attention and perception. It covers research on eye movements, language, speech and semantics, emotion, as well as brain functional states, and a variety of decision-making processes. It also highlights important advances in cognitive robotics and artificial intelligence, discussing brain-computer interfaces and other practically-relevant technologies. It includes studies on human subjects, in both healthy and disease conditions, and investigations on the molecular mechanisms of cognition in animal models.
Chapters are based on invited lectures and peer-reviewed contributions to the 9th International Conference on Cognitive Sciences, Intercognsci–2020, held on October 10-16, 2020, in Moscow. The conference was organized by the Interregional Association of Cognitive Studies, with the participation of the Pavlov Society for Neurophysiology and Higher Nervous Activity, and supported by the Russian Academy of Sciences, the Russian Foundation for Basic Research and a number of the north eastern European research institutions. All in all, this book provides cognitive scientists around the world with a timely snapshot of interdisciplinary research and cutting-edge models, and a major source of inspiration for future collaborations in the areas of artificial intelligence and cognitive neuroscience.
Cognitive abilities are related to academic performance and professional success. Research shows that about 1–10% of individuals have outstanding cognitive abilities. Critically, theoretical and empirical criteria of assessing cognitive performance are understudied and less well understood. A measure of core cognitive performance is mental attentional capacity that reflects the number of items an individual can hold and manipulate in mind; quantitative changes in the development of mental attentional capacity have been theoretically defined. We examine normative performance, as well as theoretical and empirical criteria for identifying children with outstanding cognitive performance in early grades using a classic measure of mental-attentional capacity. Children in grades 1, 2, 3, and 4 (N = 277) completed the Figural Intersection Task (FIT). Results show that normative scores from Russian speaking children closely followed theoretical expectations for all grades and were in agreement with past empirical data. Criteria for over-performance were set to be +2 and +3 above theoretical expectations and empirical scores for each age group. Percentages close to those obtained in the literature were obtained primarily using the stricter criterion. Considerations for future research and practical implications are discussed.