Proteinoid microspheres as proto-neural networks

TL;DR

This paper explores the use of differential pulse voltammetry to interface with proteinoid microspheres that mimic neural activity, aiming to develop proto-neural networks with potential applications in artificial intelligence.

Contribution

It demonstrates the feasibility of using DPV as an electrochemical interface with proteinoid proto-neural networks, evaluating key parameters for effective interfacing.

Findings

DPV shows high selectivity and sensitivity for proteinoid microspheres.

Operational parameters significantly influence electrochemical response.

DPV can effectively interface with proteinoid-based proto-neural systems.

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-nano-brains. In our study, we investigate the feasibility of utilizing a promising electrochemical technique called differential pulse voltammetry (DPV) to interface with proteinoid nano-brains. We evaluate DPV's suitability by examining critical parameters such as selectivity, sensitivity, and linearity of the electrochemical responses. The research systematically explores the influence of various operational factors, including pulse width, pulse amplitude, scan rate, and scan time. Encouragingly, our findings indicate that DPV exhibits significant potential as an efficient electrochemical interface for proteinoid nano-brains. This technology opens up new avenues for developing artificial neural networks with broad applications across diverse fields of research.