2023
DOI: 10.1021/acsomega.3c05670
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Proteinoid Microspheres as Protoneural Networks

Panagiotis Mougkogiannis,
Andrew Adamatzky

Abstract: Proteinoids, also known as thermal proteins, possess a fascinating ability to generate microspheres that exhibit electrical spikes resembling the action potentials of neurons. These spiking microspheres, referred to as protoneurons, hold the potential to assemble into proto-nanobrains. In our study, we investigate the feasibility of utilizing a promising electrochemical technique called differential pulse voltammetry (DPV) to interface with proteinoid nanobrains. We evaluate DPV's suitability by examining crit… Show more

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Cited by 5 publications
(5 citation statements)
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“…Proteinoid network emergent spiking behaviours are strikingly similar to the excitation dynamics observed in biological neurons: proteinoids exhibit propagating spikes, refractory periods, and explosive patterns that are characteristic of neural activity through spontaneous self-organisation [27,105,141,[183][184][185][186]. In the absence of genetic encoding, this presents a compelling model system for investigating the origins of neural-like signalling.…”
Section: Spiking Neural Network Dynamicsmentioning
confidence: 75%
See 3 more Smart Citations
“…Proteinoid network emergent spiking behaviours are strikingly similar to the excitation dynamics observed in biological neurons: proteinoids exhibit propagating spikes, refractory periods, and explosive patterns that are characteristic of neural activity through spontaneous self-organisation [27,105,141,[183][184][185][186]. In the absence of genetic encoding, this presents a compelling model system for investigating the origins of neural-like signalling.…”
Section: Spiking Neural Network Dynamicsmentioning
confidence: 75%
“…Peptide-derived membraneless protocells exhibit emergent proto-neural phenomena [141,142]. The basic polypeptides exhibit self-organisation capabilities in order to effectively process stimuli, similar to the functioning of natural sensory systems.…”
Section: Emergent Cognitive Properties In Proteinoidsmentioning
confidence: 99%
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“…According to Mougkogiannis et al, let t ∈ R n represent a vector of time values measured in seconds, p ∈ R n×2 represent a matrix of potential values measured in volts for 2 different samples 52 . N ∈ N denotes the number of neurons in the Neural Network (NN), T ∈ R + indicates the time window for temporal coding measured in seconds, and θ ∈ R + represents the threshold for spike detection measured in volts.…”
Section: Building Logic With Kombucha--proteinoid Proto Brainmentioning
confidence: 99%

Living Kombucha Electronics with Proteinoids

Nikolaidou,
Mougkogiannis,
Adamatzky
2023
Preprint
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