| Title | Self-sustained green neuromorphic interfaces. |
| Publication Type | Journal Article |
| Year of Publication | 2021 |
| Authors | Fu T, Liu X, Fu S, Woodard T, Gao H, Lovley DR, Yao J |
| Journal | Nat Commun |
| Volume | 12 |
| Issue | 1 |
| Pagination | 3351 |
| Date Published | 2021 Jun 07 |
| ISSN | 2041-1723 |
| Keywords | Biocompatible Materials, Electronics, Nanotechnology, Nanowires, Neural Networks, Computer, Proteins, Synapses |
| Abstract | Incorporating neuromorphic electronics in bioelectronic interfaces can provide intelligent responsiveness to environments. However, the signal mismatch between the environmental stimuli and driving amplitude in neuromorphic devices has limited the functional versatility and energy sustainability. Here we demonstrate multifunctional, self-sustained neuromorphic interfaces by achieving signal matching at the biological level. The advances rely on the unique properties of microbially produced protein nanowires, which enable both bio-amplitude (e.g., |
| DOI | 10.1038/s41467-021-23744-2 |
| Alternate Journal | Nat Commun |
| PubMed ID | 34099691 |
| PubMed Central ID | PMC8184933 |
Department of Microbiology