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https://doi.org/10.26434/chemr...
Article . 2023 . Peer-reviewed
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Article . 2023 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.2139/ssrn.4...
Article . 2023 . Peer-reviewed
Data sources: Crossref
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Morphologies of Proteinoids

Authors: Panagiotis Mougkogiannis; Andrew Adamatzky;

Morphologies of Proteinoids

Abstract

Proteinoids, or thermal proteins, are aminoacid polymers formed at high temperatures by non-biological processes. Proteinoids form microspheres in liquids. The microspheres exhibit electrical activity similar to that of neurons. The electrically spiking microspheres are seen as proto-neurons capable of forming networks and carrying out information transmission and processing. Previously, we demonstrated that ensembles of proteinoid microspheres can respond to optical and electrical stimulation, implement logical gates, recognise arbitrary wave forms, and undergo learning. Thus, the ensembles of proteinoid microspheres can be seen as proto-brains. In present we decided to uncovering morphologies of these proto-brains. We utilise a supersaturated solution of calcium carbonate to facilitate the crystallisation of proteinoids and subsequently generate proteinoid brain structures. Our hypothesis suggests that calcium carbonate crystals have the potential to serve as scaffolds and connectors for proteinoid microspheres, thereby improving their electrical properties and facilitating communication. In this section, we outline the experimental methods and techniques used in our study. We share our findings and results regarding the morphology, composition, stability, and functionality of proteinoid brain structures. We discuss the implications and applications of our work in the fields of bio-inspired computing, artificial neural networks, and origin of life research.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
hybrid