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Remarkable problemsolving ability of unicellular amoeboid organism

Remarkable problemsolving ability of unicellular amoeboid organism

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Physarum: Remarkable problem-solving ability of unicellular amoeboid organism and its mechanism

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Left: the chip used in the experiment has 64 lanes that the Plasmodium cell body

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In the experiment, the numbers from "A1" to "H8" were assigned to each route.

Poly(malic acid) from the slime mold Physarum polycephalum. β-Poly(L-malate) is synthesized and secreted by the plasmodium. The polymer is harvested from ...

By hitting specific routes in response to mojiko movements, Modjocori will be able to find the shortest distance route to visit all cities.

It is like this when mojikokori shows the part where the temporary legs are newly extended red, the parts where the temporary feet are retracted are shown ...

Left: the number of feasible routes between all cities of the TSP increases exponentially as

By placing food on the location of major cities, and using light gradients to recapitulate

Left: the introduction of random light stimulus (noise) impaired the ability of the

Physarum polycephalum on an oak log. Image credit: Mushroom Observer / CC BY-

Amoeba-inspired SAT Solver

Performance dependence on the exploration parameter ϵ for a randomly generated 50-variable 3-

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Experimental setup. (A) No-choice experiment, diet 1:2,

Charging and discharging characteristics of unit in our electronic amoeba-inspired system together with output

In the traveling salesman problem, as the number of cities increases, the complexity of the problem increases exponentially, but the speed at which ...

Amoeba-inspired computing architecture implemented using charge dynamics in parallel capacitance network

(a) Basic behavior of amoeba with four branches and (b) capacitance network

Masashi Aono. 63 subscribers. Subscribe · Physarum: Remarkable problem-solving ability of unicellular amoeboid organism ...

Comparison of the Physarum networks with the Tokyo rail network. (A) In the

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Amoeba-inspired computing architecture implemented using charge dynamics in parallel capacitance network

(a) Diagram of computer system for solving 4-variable CSP instance of x i

Although it is modjocori that extends to the route to maximally take nutrition, the research team uses the nature of mojiko called "hate light" in order to ...

Amoeba-inspired nanoarchitectonic computing implemented using electrical Brownian ratchets

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Amoeba-inspired nanoarchitectonic computing implemented using electrical Brownian ratchets

At the moment it is possible for computers to solve the problem much faster than in Ameba, but the research team will continue to improve the computing ...

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Species Of Amoeba Found To Solve Problem For Which Humans Need Computers

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Network of electrical Brownian ratchets used to implement the amoeba-inspired nanoarchitectonic computer for solving

Zoology Science Fair Project Maze-solving by Physarum polycephalum.

The slime mold Physarum polycephalum forms a network of cytoplasmic veins as it spreads across a surface.

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Results of shrinking blob method over 6 runs on each of 20 randomly generated datasets of

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Network formation in Physarum polycephalum. (A) At t = 0, a small

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A Nanophotonic Computing Paradigm: Problem-Solving and Decision-Making Systems Using Spatiotemporal Photoexcitation Transfer Dynamics

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A Nanophotonic Computing Paradigm: Problem-Solving and Decision-Making Systems Using Spatiotemporal Photoexcitation Transfer Dynamics

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A Nanophotonic Computing Paradigm: Problem-Solving and Decision-Making Systems Using Spatiotemporal Photoexcitation Transfer Dynamics

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The organism will naturally expand and project parts of itself to move toward positive stimuli (such as food), ...

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Time derivative of D in Eq. (7). Solid line represents dD/

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Results of statistical analyses on the effect of food quality on exploitation and search behavior

A Fully Decentralized Morphology Control of an Amoeboid Robot by Exploiting the Law of Conservation of Protoplasmic Mass

Schematic diagram showing the topological shapes of mazes used. (a, b) represent

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Reading the TSP tour formed by the shrinking blob by perimeter tracking. (a)

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A Fully Decentralized Morphology Control of an Amoeboid Robot by Exploiting the Law of Conservation of Protoplasmic Mass

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A Fully Decentralized Morphology Control of an Amoeboid Robot by Exploiting the Law of Conservation of Protoplasmic Mass

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Physarum: Remarkable problem-solving ability of unicellular amoeboid organism and its mechanism

Download figure ...

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Left: the chip used in the experiment has 64 lanes that the Plasmodium cell body

Download figure ...

Watch Physarum: Remarkable problem-solving ability of unicellular amoeboid organism and its mechanism GIF

Left: the number of feasible routes between all cities of the TSP increases exponentially as

Download figure ...

In the experiment, the numbers from "A1" to "H8" were assigned to each route.

Poly(malic acid) from the slime mold Physarum polycephalum. β-Poly(L-malate) is synthesized and secreted by the plasmodium. The polymer is harvested from ...

Watch Physarum: Remarkable problem-solving ability of unicellular amoeboid organism and its mechanism GIF

By placing food on the location of major cities, and using light gradients to recapitulate

Experimental setup. (A) No-choice experiment, diet 1:2,

Left: the introduction of random light stimulus (noise) impaired the ability of the

Amoeba-inspired SAT Solver

Physarum polycephalum on an oak log. Image credit: Mushroom Observer / CC BY-

Performance dependence on the exploration parameter ϵ for a randomly generated 50-variable 3-

Network of electrical Brownian ratchets used to implement the amoeba-inspired nanoarchitectonic computer for solving

Amoeba-inspired computing architecture implemented using charge dynamics in parallel capacitance network

(a) Diagram of computer system for solving 4-variable CSP instance of x i

(a) Basic behavior of amoeba with four branches and (b) capacitance network

Amoeba-inspired nanoarchitectonic computing implemented using electrical Brownian ratchets

Charging and discharging characteristics of unit in our electronic amoeba-inspired system together with output

Species Of Amoeba Found To Solve Problem For Which Humans Need Computers

Zoology Science Fair Project Maze-solving by Physarum polycephalum.

A Nanophotonic Computing Paradigm: Problem-Solving and Decision-Making Systems Using Spatiotemporal Photoexcitation Transfer Dynamics

Comparison of the Physarum networks with the Tokyo rail network. (A) In the

Proto-oncogenes in a eukaryotic unicellular organism play essential roles in plasmodial growth in host

Amoeba-inspired nanoarchitectonic computing implemented using electrical Brownian ratchets

Results of shrinking blob method over 6 runs on each of 20 randomly generated datasets of

Figure 2.

A Nanophotonic Computing Paradigm: Problem-Solving and Decision-Making Systems Using Spatiotemporal Photoexcitation Transfer Dynamics

Network formation in Physarum polycephalum. (A) At t = 0, a small

A Nanophotonic Computing Paradigm: Problem-Solving and Decision-Making Systems Using Spatiotemporal Photoexcitation Transfer Dynamics

Time derivative of D in Eq. (7). Solid line represents dD/

Amoeba-inspired computing architecture implemented using charge dynamics in parallel capacitance network

Results of statistical analyses on the effect of food quality on exploitation and search behavior

Schematic diagram showing the topological shapes of mazes used. (a, b) represent

Decay rate c for each edge. A domain bounded by dashed lines represents illuminated area

Optical Properties of ZnO Nanoparticles Capped with Polymers

Statistical details of multiple linear regression analysis on foraging performance in correlated and noncorrelated landscapes

It never ceases to amaze me how it's easier to believe in a(spontaneous)

Influence of the direction of spontaneous orientation polarization on the charge injection properties of organic light-emitting diodes

Life cycle of a cellular slime mould such as D. discoideum. (a)

Reading the TSP tour formed by the shrinking blob by perimeter tracking. (a)

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Illumination patterns on the slime mold. White part corresponds illuminated region. (a)

Jenna Sutela, Orgs (2016). Reading with Physarum polycephalum; engraving, print and marker on a stack of Plexiglas. Photo by Mikko Gaestel.

The effect of engulfing high and low quality food items on the time it took for

Leverage plots showing the effect of food quality on exploitation behaviour. Dotted lines show 95

Classification of Physarum-related papers. A, The results of community detection. B

Transfer of learned behaviour. Habituation index for merged entities required to cross an agar gel

Factors influencing patch-residency time .

Time series of the tube-network made by Physarum when presented with different sized FSs

Constructing an effective transport network with the VP-S model. A, Typical output

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Proposed oscillatory network (modified after [93]). Model of the physiological oscillator

Cellular automaton for simulating Physarum's emerging protoplasm. A, Biological experiment to reveal the morphology

Application of the VP-S model to the construction of a transport network. A

Examples of reconfigurations of protoplasmic network: (a) and (b) scanned images

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Upon starvation, a D. discoideum population partitions into aggregating and non-aggregating cells

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Toshiyuki Nakagaki, Tokyo rail network experiment (2010). Image courtesy of Future University Hakodate and Seiji Takagi.

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Figure 4.

Area and velocity of microplasmodium shown in Fig.1. A) Area as a

Foraging plasmodium of Physarum does not approximate the TSP in both unconstrained and constrained environments.

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Fig. 9.