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Boston University OpenBUhttp://open.by.cognitive & Neural Systemics/CNS Technical Reports199212A Reorganizing Neural Model of Motor Equivalent Reaching and Tool Use by a Multi joint Arm https://hdl.handle.net/2144/2105 Boston
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Cognitive neural systems refer to computational frameworks that mimic the cognitive functions of the human brain, including perception, reasoning, and decision-making. They are often used in artificial intelligence and machine learning applications to improve data processing and interpretation.
Typically, researchers, organizations, or companies engaged in projects involving cognitive neural systems, especially if they are seeking funding, regulatory approval, or compliance with specific guidelines, may be required to file documentation or reports related to such systems.
Filling out cognitive neural systems documentation generally involves providing detailed descriptions of the system's architecture, functionalities, applications, and the data used for training. Guidelines for filing may vary by institution or regulatory body, and it's important to follow specific forms or templates provided.
Information to be reported may include system specifications, algorithms used, training datasets, performance metrics, ethical considerations, and potential impacts on users and society.
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