Fabrication and programming of large physically evolving networks

Hübler, Alfred; Stephenson, Cory; Lyon, Dave; Swindeman, Ryan

doi:10.1002/cplx.20378

Cited by 7 publications

(5 citation statements)

References 2 publications

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“…Physically evolving networks (PENs), a form of “B‐type unorganized machine” proposed by Turing in 1948, are connectionist networks based on adaptive reconfigurations of the physical network morphology and can serve as fundamental building blocks for parallel and efficient computation . So far only preliminary examples of PEN have been demonstrated using millimeter‐scale stainless steel balls in castor oil, exhibiting spontaneous physical reorganization into ordered dendrite networks (so‐called arbortron networks) upon application of an electric field. However, potential application of PENs requires the development of scalable solid‐state systems.…”

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confidence: 99%

Memristive Physically Evolving Networks Enabling the Emulation of Heterosynaptic Plasticity

2015

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A nanoscale, solid-state physically evolving network is experimentally demonstrated, based on the self-organization of Ag nanoclusters under an electric field. The adaptive nature of the network is determined by the collective inputs from multiple terminals and allows the emulation of heterosynaptic plasticity, an important learning rule in biological systems. These effects are universally observed in devices based on different switching materials.

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confidence: 99%

Memristive Physically Evolving Networks Enabling the Emulation of Heterosynaptic Plasticity

2015

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“…However, at the time of Warburg's discovery, this point of view was not accepted by the scientific community regardless of its genuine significance. Contemporary comprehension of biological systems is connected with the idea of complexity (for a description of complex systems, the reader is referred, for instance, to Cohen and Havlin [3], and a simple model is developed in [4]). Biological systems are examples of complex systems composed of a large number of nonlinearly interacting elements organized into hierarchical structures [5].…”

Section: Introductionmentioning

confidence: 99%

Biophysical Insights into Cancer Transformation and Treatment

Pokorný

Foletti²,

Kobilková³

et al. 2013

The Scientific World Journal

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Biological systems are hierarchically self-organized complex structures characterized by nonlinear interactions. Biochemical energy is transformed into work of physical forces required for various biological functions. We postulate that energy transduction depends on endogenous electrodynamic fields generated by microtubules. Microtubules and mitochondria colocalize in cells with microtubules providing tracks for mitochondrial movement. Besides energy transformation, mitochondria form a spatially distributed proton charge layer and a resultant strong static electric field, which causes water ordering in the surrounding cytosol. These effects create conditions for generation of coherent electrodynamic field. The metabolic energy transduction pathways are strongly affected in cancers. Mitochondrial dysfunction in cancer cells (Warburg effect) or in fibroblasts associated with cancer cells (reverse Warburg effect) results in decreased or increased power of the generated electromagnetic field, respectively, and shifted and rebuilt frequency spectra. Disturbed electrodynamic interaction forces between cancer and healthy cells may favor local invasion and metastasis. A therapeutic strategy of targeting dysfunctional mitochondria for restoration of their physiological functions makes it possible to switch on the natural apoptotic pathway blocked in cancer transformed cells. Experience with dichloroacetate in cancer treatment and reestablishment of the healthy state may help in the development of novel effective drugs aimed at the mitochondrial function.

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“…In this article, we explore, whether complex physical systems, such as arbortrons , can show a response which is similar to the most basic pain response in living systems: An agitated dynamics and rapid healing. The experimental setup is a glass dish (diameter, d , ≈120 mm) that contains dielectric liquid (castor oil, depth ≈ 2 mm) and conducting particles (579 stainless‐steel ball bearings; diameter d ≈ 1.6 mm).…”

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confidence: 99%