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- W2912489732 abstract "Introduction: Cognitive neuroscience, neuromodulation, and high throughput computing have become sufficiently advanced to support an emerging discipline we can call Cognitive Neuroengineering. From a neural engineering perspective, we can influence and monitor multiple sources of physiological activity in real-time contexts. In cognitive neuroscience, we have commensurately rich methods to measure real-time cognitive activity. In addition, time-efficient algorithms are available to rapidly model input-output associations between brain stimulation, neural activity and measured behavior. Given these technologies, we now have the foundations to use conventional and emerging approaches from control engineering - a branch of systems engineering - to address pervasive problems in neuromodulation in experimental and clinical contexts. Specifically, brain stimulation researchers are often confronted with parameter selection decisions." @default.
- W2912489732 created "2019-02-21" @default.
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- W2912489732 date "2019-03-01" @default.
- W2912489732 modified "2023-09-24" @default.
- W2912489732 title "Abstract #85: Cognitive Neuroengineering: Defining a New Paradigm" @default.
- W2912489732 doi "https://doi.org/10.1016/j.brs.2018.12.092" @default.
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