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. 2024 Sep 10:18:1443121.
doi: 10.3389/fnins.2024.1443121. eCollection 2024.

Neuromorphic engineering in wetware: the state of the art and its perspectives

Pier Luigi Gentili  1 , Maria Pia Zurlo  1 , Pasquale Stano  2
Affiliations

Neuromorphic engineering in wetware: the state of the art and its perspectives

Pier Luigi Gentili et al. Front Neurosci. .
No abstract available

Keywords: DNA; chemical artificial intelligence; chemical reaction networks; emergence; fluidic memristors; oscillatory chemical reactions; proteins; synthetic biology.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Figures

Figure 1
Figure 1
(A) Shows the three principal architectures of artificial neural networks: they are (A1) feedforward, (A2) recurrent, and (A3) reservoir networks. (B) Showcases the three principal methodologies for developing neuromorphic engineering in wetware.
See this image and copyright information in PMC

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