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Neurology & Neuroscience Journal Peer Reviewed

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Journal of Neurology and Neuroscience (ISSN: 2171-6625) is an international circulating peer-reviewed Open Access journal presenting original research contributions and scientific advances in the field of Neurology and Neuroscience. Journal of Neurology & Neuroscience aims to promote research communications and provide a forum for doctors, researchers, physicians and healthcare professionals to find most recent advances in all areas of Neurology & Neurological Sciences. Neurology & Neurosciences strongly supports the scientific up gradation and fortification in related scientific research community by enhancing access to peer reviewed scientific literary works. Neurology is a specialized area of medicine that concerns disorders and diseases of the nervous system. Neurology involves diagnosing and treating conditions of the central, peripheral and autonomic nervous systems.


A Look at the Original Roots of Artificial Intelligence, Cognitive Science, and Neuroscience

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Computational rationality: A converging paradigm for intelligence in brains, minds, and machines

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After growing up together, and mostly growing apart in the second half of the 20th century, the fields of artificial intelligence (AI), cognitive science, and neuroscience are reconverging on a shared view of the computational foundations of intelligence that promotes valuable cross-disciplinary exchanges on questions, methods, and results. We chart advances over the past several decades that address challenges of perception and action under uncertainty through the lens of computation. Advances include the development of representations and inferential procedures for large-scale probabilistic inference and machinery for enabling reflection and decisions about tradeoffs in effort, precision, and timeliness of computations. These tools are deployed toward the goal of computational rationality: identifying decisions with highest expected utility, while taking into consideration the costs of computation in complex real-world problems in which most relevant calculations can only be approximated. We highlight key concepts with examples that show the potential for interchange between computer science, cognitive science, and neuroscience.


How neuroscience enables better Artificial Intelligence design

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Artificial Intelligence (AI) is evolving at light-speed. Artificial systems are capable of outperforming human experts on many levels: crunching data, analysing legal documents, solving Rubix cubes, and winning games both ancient and modern. They can produce writing indistinguishable from their human counterparts, conduct research, pen pop songs, translate between multiple languages and even create and critique art. And AI-driven tasks like object detection, speech recognition and machine translation are becoming more sophisticated every day. These advances can be credited to many developments, from improved statistical approaches to increased computer processing powers.