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Micromachines 2018, 9(9), 445;

The History and Horizons of Microscale Neural Interfaces

Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15261, USA
Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA 15213, USA
Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA 15261, USA
McGowan Institute of Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15212, USA
NeuroTech Center, University of Pittsburgh Brain Institute, Pittsburgh, PA 15260, USA
Received: 7 August 2018 / Revised: 27 August 2018 / Accepted: 3 September 2018 / Published: 6 September 2018
(This article belongs to the Special Issue Neural Microelectrodes: Design and Applications)
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Microscale neural technologies interface with the nervous system to record and stimulate brain tissue with high spatial and temporal resolution. These devices are being developed to understand the mechanisms that govern brain function, plasticity and cognitive learning, treat neurological diseases, or monitor and restore functions over the lifetime of the patient. Despite decades of use in basic research over days to months, and the growing prevalence of neuromodulation therapies, in many cases the lack of knowledge regarding the fundamental mechanisms driving activation has dramatically limited our ability to interpret data or fine-tune design parameters to improve long-term performance. While advances in materials, microfabrication techniques, packaging, and understanding of the nervous system has enabled tremendous innovation in the field of neural engineering, many challenges and opportunities remain at the frontiers of the neural interface in terms of both neurobiology and engineering. In this short-communication, we explore critical needs in the neural engineering field to overcome these challenges. Disentangling the complexities involved in the chronic neural interface problem requires simultaneous proficiency in multiple scientific and engineering disciplines. The critical component of advancing neural interface knowledge is to prepare the next wave of investigators who have simultaneous multi-disciplinary proficiencies with a diverse set of perspectives necessary to solve the chronic neural interface challenge. View Full-Text
Keywords: micromachine; neuroscience; biocompatibility; training; education; diversity; bias; BRAIN Initiative; multi-disciplinary; micro-electromechanical systems (MEMS) micromachine; neuroscience; biocompatibility; training; education; diversity; bias; BRAIN Initiative; multi-disciplinary; micro-electromechanical systems (MEMS)

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Kozai, T.D.Y. The History and Horizons of Microscale Neural Interfaces. Micromachines 2018, 9, 445.

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