The History and Horizons of Microscale Neural Interfaces
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,...
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doaj-5b7cc2decf18423598f33dfb41030f182020-11-25T00:41:53ZengMDPI AGMicromachines2072-666X2018-09-019944510.3390/mi9090445mi9090445The History and Horizons of Microscale Neural InterfacesTakashi D. Y. Kozai0Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15261, USAMicroscale 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.http://www.mdpi.com/2072-666X/9/9/445micromachineneurosciencebiocompatibilitytrainingeducationdiversitybiasBRAIN Initiativemulti-disciplinarymicro-electromechanical systems (MEMS) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Takashi D. Y. Kozai |
spellingShingle |
Takashi D. Y. Kozai The History and Horizons of Microscale Neural Interfaces Micromachines micromachine neuroscience biocompatibility training education diversity bias BRAIN Initiative multi-disciplinary micro-electromechanical systems (MEMS) |
author_facet |
Takashi D. Y. Kozai |
author_sort |
Takashi D. Y. Kozai |
title |
The History and Horizons of Microscale Neural Interfaces |
title_short |
The History and Horizons of Microscale Neural Interfaces |
title_full |
The History and Horizons of Microscale Neural Interfaces |
title_fullStr |
The History and Horizons of Microscale Neural Interfaces |
title_full_unstemmed |
The History and Horizons of Microscale Neural Interfaces |
title_sort |
history and horizons of microscale neural interfaces |
publisher |
MDPI AG |
series |
Micromachines |
issn |
2072-666X |
publishDate |
2018-09-01 |
description |
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. |
topic |
micromachine neuroscience biocompatibility training education diversity bias BRAIN Initiative multi-disciplinary micro-electromechanical systems (MEMS) |
url |
http://www.mdpi.com/2072-666X/9/9/445 |
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