State-of-the-art MEMS and microsystem tools for brain research
Mapping brain activity has received growing worldwide interest because it is expected to improve disease treatment and allow for the development of important neuromorphic computational methods. MEMS and microsystems are expected to continue to offer new and exciting solutions to meet the need for hi...
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Veröffentlicht in: | Microsystems & nanoengineering 2017-01, Vol.3 (1), p.16066-16066, Article 16066 |
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Zusammenfassung: | Mapping brain activity has received growing worldwide interest because it is expected to improve disease treatment and allow for the development of important neuromorphic computational methods. MEMS and microsystems are expected to continue to offer new and exciting solutions to meet the need for high-density, high-fidelity neural interfaces. Herein, the state-of-the-art in recording and stimulation tools for brain research is reviewed, and some of the most significant technology trends shaping the field of neurotechnology are discussed.
Neuroscience: Cutting-edge microsystems advance brain research
Understanding even the most basic brain functions will require considerable advances in the MEMS-based tools that are used in brain research. Sensors that are capable of monitoring single neurons or mapping the complex neural networks responsible for faculties such as memory or learning will be crucial for furthering our knowledge. As the human brain contains around 85 million neurons and 100 trillion synapses, the challenge is enormous. John Seymour and Euisik Yoon and colleagues at the University of Michigan, United States, review the state of the art in microsystem devices that are used to record and stimulate the brain. They highlight innovations in multimodal sensor arrays and illustrate the need for further innovation in packaging and microsystems to match the scale of the neuronal circuits under study. Ultimately the teamwork between neurotechnologists and neuroscientists will lead to critical breakthroughs in brain research over the next decade. |
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ISSN: | 2055-7434 2096-1030 2055-7434 |
DOI: | 10.1038/micronano.2016.66 |