Publication Type:


Deliano Matthias
Department Systemphysiology, Leibniz Institute for Neurobiology
Issue number: 
No. 3 (Vol. 37)

In the paper the mental processes are described in terms of computational functions realized by a physical brain machinery. Serving dedicated computational functions, the cognitive performance of the brain/mind can then be quantified by the amount, speed, and precision of information processing. Even our emotions can then be described in the framework of economic computational principles, namely as error signals minimized by machine learning algorithms to optimize computational performance. The paper highlights the importance of reflecting and clarifying our increasingly intimated relationship to machines. In the development of brain_machine interfaces, this relationship is brought to an extreme, which makes them an interesting case for exploring the dependencies between human nature and artificial devices.

Neuroscience, cognitive behavior, neuroprosthesis, brain,machine interfaces, computational measures of cognitive performance

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