4,065 resources related to Cognitive Neuroscience
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
2020 IEEE International Symposium on Circuits and Systems (ISCAS)
The International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premier networking and exchange forum for researchers in the highly active fields of theory, design and implementation of circuits and systems. ISCAS2020 focuses on the deployment of CASS knowledge towards Society Grand Challenges and highlights the strong foundation in methodology and the integration of multidisciplinary approaches which are the distinctive features of CAS contributions. The worldwide CAS community is exploiting such CASS knowledge to change the way in which devices and circuits are understood, optimized, and leveraged in a variety of systems and applications.
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)
The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
One of the flagship conferences for the IEEE Robotics and Automation Society (RAS)
The IEEE ICCI*CC series is a flagship conference of its field. It not only synergizes theories of modern information science, computer science, communication theories, AI, cybernetics, computational intelligence, cognitive science, intelligence science, neuropsychology, brain science, systems science, software science, knowledge science, cognitive robots, cognitive linguistics, and life science, but also promotes novel applications in cognitive computers, cognitive communications, computational intelligence, cognitive robots, cognitive systems, and the AI, IT, and software industries.
The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.
The IEEE Region 9 is releasing the IEEE Latin America Transactions to enable the publication of non-published and technically excellent papers from Latin American engineers, in Spanish or Portuguese languages. Engineers and researchers from Portugal and Spain (and others countries with the same language) are also very welcome to submit their proposals.
Imaging methods applied to living organisms with emphasis on innovative approaches that use emerging technologies supported by rigorous physical and mathematical analysis and quantitative evaluation of performance.
2018 13th Iberian Conference on Information Systems and Technologies (CISTI), 2018
The field of cognitive neuroscience concerns the intelligence, feelings and the ability to make decisions. Considering these subdivision, this work presents recents studies of brain mapping and the use of machine learning in educational environment. The state-of-the-art of cognitive neuroscience and machine learning are presented in the context, in order to reinforce and rethinking the interconnection of technology with educational ...
Journal of Cognitive Neuroscience, 2002
Visual extinction after right parietal damage involves a loss of awareness for stimuli in the contralesional field when presented concurrently with ipsilesional stimuli, although contralesional stimuli are still perceived if presented alone. However, extinguished stimuli can still receive some residual on-line processing, without awareness. Here we examined whether such residual processing of extinguished stimuli can produce implicit and/or explicit memory ...
Journal of Cognitive Neuroscience, 1989
We describe an in vivo method for the quantitative analysis of human necrotical anatomy. The technique allows unfolded regions of functional and morphological interest to be measured planimetrically. Two-dimensional cortical maps and surface area determinations derived from magnetic resonance images of monozygotic twins are presented. In addition, reconstructions and measurements of published post-mortem human and rhesus monkey hemispheres are reported. ...
Journal of Cognitive Neuroscience, 2004
Journal of Cognitive Neuroscience, 2007
Special Evening Panel Discussion: AI, Cognitive Information Processing, and Rebooting Computing - IEEE Rebooting Computing 2017
ICASSP 2012 Plenary-Dr. Mitsuo Kawato
Sharing New Breakthroughs in Neuroscience
Robotics History: Narratives and Networks Oral Histories:Michael Arbib
Laura Specker Sullivan: Neuroscience & Brain Panel - Forecasting the Future by Looking at the Past - TTM 2018
Mind/Brain Research and AI Development: How Do They Inform Each Other? - IEEE TechEthics Panel
Q&A: Neuroscience and Brain Panel - TTM 2018
IEEE 125th Anniversary Media Event: Cognitive Computing
Robotics History: Narratives and Networks Oral Histories: Barbara Hayes Roth
Robotics History: Narratives and Networks Oral Histories: Raja Chatila
Active Space-Body Perception and Body Enhancement using Dynamical Neural Systems
Self-Organization with Information Theoretic Learning
Neuromorphic Mixed-Signal Circuitry for Asynchronous Pulse Processing Neuromorphic Mixed-Signal Circuitry for Asynchronous Pulse Processing - Peter Petre: 2016 International Conference on Rebooting Computing
Neural Cognitive Robot: Learning, Memory and Intelligence
Q&A with Jack Gallant: IEEE Brain Podcast, Episode 11
Q&A with Emery Brown: IEEE Brain Podcast, Episode 3
Engineering Our Future - Maja Mataric, Ph.D
Q&A with Dr. Al Emondi: IEEE Brain Podcast, Episode 13
IEEE Brain: Platypus Neuro : Applied Neuroscience and Optimized Human Performance at Scale
The field of cognitive neuroscience concerns the intelligence, feelings and the ability to make decisions. Considering these subdivision, this work presents recents studies of brain mapping and the use of machine learning in educational environment. The state-of-the-art of cognitive neuroscience and machine learning are presented in the context, in order to reinforce and rethinking the interconnection of technology with educational development.
Visual extinction after right parietal damage involves a loss of awareness for stimuli in the contralesional field when presented concurrently with ipsilesional stimuli, although contralesional stimuli are still perceived if presented alone. However, extinguished stimuli can still receive some residual on-line processing, without awareness. Here we examined whether such residual processing of extinguished stimuli can produce implicit and/or explicit memory traces lasting many minutes. We tested four patients with right parietal damage and left extinction on two sessions, each including distinct study and subsequent test phases. At study, pictures of objects were shown briefly in the right, left, or both fields. Patients were asked to name them without memory instructions (Session 1) or to make an indoor/outdoor categorization and memorize them (Session 2). They extinguished most left stimuli on bilateral presentation. During the test (up to 48 min later), fragmented pictures of the previously exposed objects (or novel objects) were presented alone in either field. Patients had to identify each object and then judge whether it had previously been exposed. Identification of fragmented pictures was better for previously exposed objects that had been consciously seen and critically also for objects that had been extinguished (as compared with novel objects), with no influence of the depth of processing during study. By contrast, explicit recollection occurred only for stimuli that were consciously seen at study and increased with depth of processing. These results suggest implicit but not explicit memory for extinguished visual stimuli in parietal patients.
We describe an in vivo method for the quantitative analysis of human necrotical anatomy. The technique allows unfolded regions of functional and morphological interest to be measured planimetrically. Two-dimensional cortical maps and surface area determinations derived from magnetic resonance images of monozygotic twins are presented. In addition, reconstructions and measurements of published post-mortem human and rhesus monkey hemispheres are reported. Potential applications for the study of brain organization in relation to cognitive, motor, and perceptual performance in normal and neurological populations are considered.
Detecting salient objects with complex backgrounds is still a challenging problem. Under the background having similar colors with complex patterns of salient objects, existing methods' performance is not satisfied, especially for multiple salient objects detection. In this paper, we propose a framework based on cognitive neuroscience to tackle with these challenges. According to cognitive neuroscience, human visual system is sensitive to depth of field, conspicuous color, moving objects and central object of scene. In the proposed framework, we imitate these human visual characteristics with following approaches: (1) using depth to represent the depth of field in the real world, (2) using luminance which imitates the light changing to represent the relative motions among objects, (3) using the center-bias to enhance object around the center. Experimental results on two challenging RGB-D datasets demonstrate that our method is superior to the existing methods in terms of effectiveness.
Numerous studies investigated physiological correlates of the processing of musical information in adults. How these correlates develop during childhood is poorly understood. In the present study, we measured event-related electric brain potentials elicited in 5and 9-year-old children while they listened to (major–minor tonal) music. Stimuli were chord sequences, infrequently containing harmonically inappropriate chords. Our results demonstrate that the degree of (in) appropriateness of the chords modified the brain responses in both groups according to music-theoretical principles. This suggests that already 5-year-old children process music according to a well-established cognitive representation of the major–minor tonal system and according to music-syntactic regularities. Moreover, we show that, in contrast to adults, an early negative brain response was left predominant in boys, whereas it was bilateral in girls, indicating a gender difference in children processing music, and revealing that children process music with a hemispheric weighting different from that of adults. Because children process, in contrast to adults, music in the same hemispheres as they process language, results indicate that children process music and language more similarly than adults. This finding might support the notion of a common origin of music and language in the human brain, and concurs with findings that demonstrate the importance of musical features of speech for the acquisition of language.
Cognitive neuroscience methods have been used increasingly in IS research, this new field termed NeuroIS hold great potential for IS research. This paper first introduced the overall background of NeuroIS research, and then reported some recent research progress in NeuroIS. And in the third part of this paper, the advantage, potential of neuroIS research and the possible implications were discussed. The last part further discussed possible limitations and future research directions of NeuroIS study.
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