Soft Neural Interfaces
Soft Neural Interfaces is a class of neural interface technologies that, as distinguished from rigid conventional probes, are engineered from compliant materials and structures to mechanically and functionally emulate soft neural tissues, thereby minimizing biological response and enabling stable, long-term bidirectional communication with the peripheral nervous system.
62
Publications
5.2K
Citations
475
Authors
164
Institutions
Publications per year
2017–2026
41
62
3D printing of conducting polymers
Hyunwoo Yuk, Baoyang Lu, Lin Shen et al. · Nature Communications · 2020 · 975 citations · Full text
Natural Sciences, Materials Engineering, Materials Science +17
Parylene flexible neural probes integrated with microfluidic channels
Shoji Takeuchi, Dominik Ziegler, Yumi Yoshida et al. · Lab on a Chip · 2005 · 364 citations
1–5 of 62
475
6
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4
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4
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3
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École Polytechnique Fédérale de Lausanne, Switzerland
3 publications · 213 citations
3
h-index
1–5 of 475
164
The University of Texas at Dallas
Richardson, United States
7 h-index
49 publications
4K citations
University of Pittsburgh
Pittsburgh, United States
5 h-index
17 publications
1K citations
Institute for Basic Science
Daejeon, South Korea
5 h-index
35 publications
2.7K citations
University of Cambridge
Cambridge, United Kingdom
4 h-index
16 publications
1.5K citations
University of Southern California
Los Angeles, United States
3 h-index
5 publications
372 citations

St Petersburg University
Saint Petersburg, Russia
3 h-index
15 publications
1.1K citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
1.1K citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
17 publications
6.3K citations
1–8 of 164
4 publications · 164 citations
4
h-index
3 publications · 1.3K citations
3
h-index
2 publications · 59 citations
2
h-index
2 publications · 82 citations
2
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2 publications · 79 citations
2
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1–5