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The Neurotechnology (NT) study section reviews applications to develop and utilize computational, informatic, imaging, biophysical, and bioengineering approaches for studying fundamental problems in neuroscience. While the multidisciplinary nature of NT covers a wide range of technologies, the central theme is a neuroscience context. Proposals need not be hypothesis driven, if the emphasis is on technique development or application. Specific areas covered by NT:

• Computational and mathematical analyses:  Modeling and simulation of neuronal ensembles; neural signal processing software.
• Neural imaging from molecular, cellular, or network level to whole brain:  MRI, DTI visualization of brain lesions and abnormalities; fMRI, EEG, MEG localization of disorder-related neuronal activity; TMS optimization; algorithms and other tools for neuroimaging analysis.
• Informatics-based study of nervous systems:  Multi-modal brain atlasing; database construction, integration, and sharing; neuroscience-focused knowledge environments.
• Application of new or emerging bioengineering or biophysical approaches to the structure, function, or disorders of the nervous system.
• Electrode-based brain monitoring:  Multi-electrode array design and optimization; device-neural tissue interfaces
• Neuroprosthetic device development
• Bioengineering approaches to nervous system remodeling:  Scaffolds for nerve regeneration; in vitro platforms for manipulation of neuronal differentiation and outgrowth; microfluidically controlled release of compounds;

The study sections with most closely related areas of similar science listed in rank order are:

Biomedical Imaging Technology [BMIT] 
Neurogenesis and Cell Fate Study Section [NCF]
Neurodifferentiation, Plasticity, and Regeneration Study Section [NDPR] 
Modeling and Analysis of Biological Systems [MABS]