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A Translational Approach to Neurotechnology Development

  • Kaleb McDowell
  • Anthony Ries
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8027)

Abstract

The past several decades have seen an explosion of meaningful and nuanced insights into the connection between human behavior and the nervous system; however, the translation of these insights into viable applications is a non-trivial and widely acknowledged challenge. Recent advancements in brain-computer interaction and real-world neuroimaging technologies have provided major breakthroughs that provide the underpinnings for translational neuroscience research efforts. This session focuses on building off of those advancements and specifically proposes three concepts necessary for overcoming the challenges of translation: 1) integrating aspects of knowledge of brain function that are generally separate into single analyses, 2) increasing situational complexity, and 3) continuing to develop neuroimaging tools specifically for use in real-world environments.

Keywords

Translational Neuroscience Neurotechnology Brain-Computer Interface (BCI) Electroencephalography (EEG) Neural Classification 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Kaleb McDowell
    • 1
  • Anthony Ries
    • 1
  1. 1.Human Research and Engineering DirectorateU.S. Army Research LaboratoryUSA

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