On resistance switching and oscillations in tubulin microtubule droplets

Chiolerio, Alessandro; Draper, Thomas C.; Mayne, Richard; Adamatzky, Andrew

doi:10.1016/j.jcis.2019.10.065

Cited by 9 publications

(10 citation statements)

References 61 publications

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“…33 It has been shown in this paper that items taken from nature all exhibit memristive properties wherein the conducted current from the positive half of a cyclic voltammetry sweep does not match the conducted current from the negative cycle. This is in line with previously published results on I-V characterisation of organic and biological substrates, which indicate memristive properties of organic polymers [9], skin [23], blood [18], slime mould Physarum polycephalum [11], plants [30], fruits [29], and tubulin microtubules [8,5].…”

Section: Alternative Approximation Of the Cycling Voltammetry Of Onio...supporting

confidence: 92%

“…Memristive properties of organic polymers have been studied since 2005 [9] in experiments with hybrid electronic devices based on polyaniline-polyethylenoxide junction [9]. Memristive properties of living creatures and their organs and fluids have been demonstrated in skin [23], blood [18], plants [30] (including fruits [29]), slime mould [11], tubulin microtubules [8,5].…”

Section: Introductionmentioning

confidence: 99%

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On memfractance of plants and fungi

Beasley¹,

Abdelouahab²,

Lozi³

et al. 2020

Preprint

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The key feature of a memristor is that the resistance is a function of its previous resistance, thereby the behaviour of the device is influenced by changing the way in which potential is applied across it. Ultimately, information can be encoded on memristors, which can then be used to implement a number of circuit topologies.Biological substrates have already been shown to exhibit some memristive properties.It is, therefore, logical that all biological media will follow this trend to some degree. In this paper we demonstrate that a range of yet untested specimens exhibit memristive properties, including mediums such as water and dampened wood shavings on which we can cultivate biological specimens. We propose that memristance is not a binary property {0, 1}, but rather a continuum on the scale [0,1]. The results imply that there is great potential for hybrid electronic systems that combine traditional electronic typologies with naturally occurring specimens.

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Section: Alternative Approximation Of the Cycling Voltammetry Of Onio...supporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

On memfractance of plants and fungi

Beasley¹,

Abdelouahab²,

Lozi³

et al. 2020

Preprint

Self Cite

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“…Hence the fungi display the characteristics of a memristor . A similar conclusion is drawn for the microtubule experiments [6]. The microtubule exhibits different resistive properties for the same applied voltage depending on the history of applied voltages.…”

Section: Discussionsupporting

confidence: 80%

“…Memristive properties of organic polymers have been studied since 2005 [11] in experiments with hybrid electronic devices based on polyaniline-polyethylenoxide junction [11]. Memristive properties of living creatures and their organs and fluids have been demonstrated in skin [26], blood [21], plants [33] (including fruits [32]), slime mould [13], tubulin microtubules [10,7].…”

Section: Introductionmentioning

confidence: 99%

Mem-fractive Properties of Mushrooms

Beasley,

Abdelouahab,

Lozi

et al. 2020

Preprint

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Memristors close the loop for I-V characteristics of the traditional, passive, semi-conductor devices. Originally proposed in 1971,the hunt for the memristor has been going ever since. The key feature of a memristor is that its current resitance is a function of its previous resistance. As such, the behaviour of the device is influenced by changing the way in which potential is applied across it. Ultimately, information can be encoded on memristors. Biological substrates have already been shown to exhibit some memristive propertiesHowever, many memristive devices are yet to be found. Here we show that the fruit bodies of grey oyster fungi Pleurotus ostreatus exhibit memristive behaviours. This paper presents the I-V characteristics of the mushrooms. By examination of the conducted current for a given voltage applied as a function of the previous voltage, it is shown that the mushroom is a memristor. Our results demonstrate that nature continues to provide specimens that hold these unique and valuable electrical characteristics and which have the potential to advance the field of hybrid electronic systems.

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“…[ 50 ] Also, biological molecules can be envisaged to enable computation, such as for example microtubules, that are protein (tubulin) polymers, which were shown to enable voltage oscillations at above 40 MHz in a solvated environment. [ 51 ] The intrinsic softness of a COgITOR would naturally be compliant with biological components, if not cells, organs, and small living organisms.…”

Section: Liquid Cybernetic Systemsmentioning

confidence: 99%

Liquid Cybernetic Systems: The Fourth‐Order Cybernetics

Chiolerio

2020

Advanced Intelligent Systems

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Technological development in robotics, computing architectures and devices, and information storage systems, in one single word: cybernetic systems, has progressed according to a jeopardized connection scheme, difficult if not impossible to track and picture in all its streams. Aim of this progress report is to critically introduce the most relevant limits and present a promising paradigm that might bring new momentum, offering features that naturally and elegantly overcome current challenges and introduce several other advantages: liquid cybernetic systems. The topic describing the four orders of cybernetic systems identified so far is introduced, evidencing the features of the fourth order that includes liquid systems. Then, current limitations to the development of conventional, von Neumann‐based cybernetic systems are briefly discussed: device integration, thermal design, data throughput, and energy consumption. In the following sections, liquid‐state machines are introduced, providing a computational paradigm (free from in materio considerations) that goes into the direction of solving such issues. Two original in materio implementation schemes are proposed: the COlloIdal demonsTratOR (COgITOR) autonomous robot, and a soft holonomic processor that is also proposed to realize an autolographic system.

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On resistance switching and oscillations in tubulin microtubule droplets

Cited by 9 publications

References 61 publications

On memfractance of plants and fungi

On memfractance of plants and fungi

Mem-fractive Properties of Mushrooms

Liquid Cybernetic Systems: The Fourth‐Order Cybernetics

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