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Avalanche and edge-of-chaos criticality do not necessarily co-occur in neural networks

Chaos (Woodbury, N.Y.), 2017-04, Vol.27 (4)

2017

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Simple Deconvolution Models for Evaluating the True Microhardness of Thin Nanostructured Coatings Deposited via an Advanced Physical Vapor Deposition Technique

Lubricants, 2023-12, Vol.11 (12), p.501

2023

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Fingerprints of a second order critical line in developing neural networks

Communications physics, 2020-01, Vol.3 (1), Article 13

2020

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Natural data structure extracted from neighborhood-similarity graphs

Chaos, solitons and fractals, 2019-02, Vol.119, p.326-331

2019

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Universality in the firing of minicolumnar-type neural networks

Chaos (Woodbury, N.Y.), 2019-09, Vol.29 (9)

2019

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Excess Entropies Suggest the Physiology of Neurons to Be Primed for Higher-Level Computation

Physical review letters, 2021-10, Vol.127 (14), p.1-148101, Article 148101

2021

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Perspectives on the impact of generative AI on early‐childhood development and education

Infant and child development, 2024-07, Vol.33 (4), p.n/a

2024

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Frequency sensitivity in mammalian hearing from a fundamental nonlinear physics model of the inner ear

Scientific reports, 2017-08, Vol.7 (1), p.9931-8, Article 9931

2017

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Nanoindentation Response Analysis of Thin Film Substrates-II: Strain Hardening-Softening Oscillations in Subsurface Layer

Latvian journal of physics and technical sciences, 2017-04, Vol.54 (2), p.34-45

2017

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Big data naturally rescaled

Chaos, solitons and fractals, 2016-09, Vol.90, p.81-90

2016

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Phase Response Properties of Rulkov Model Neurons

Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences, p.21-35

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Tribological and Mechanical Properties of the Nanostructured Superlattice Coatings with Respect to Surface Texture

Lubricants, 2022-11, Vol.10 (11), p.285

2022

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Tribological and Micromechanical Properties of the Nanostructured Carbonitride/Nitride Coatings of Transition Metals Alloyed by Hf and Nb

Coatings (Basel), 2023-03, Vol.13 (3), p.552

2023

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Nanostructured TiAlSi-CN:Me/a-CN:Si3N4 Composite Coatings Deposited by Advanced PVD Technique

Solid state phenomena, 2021-06, Vol.320, p.37-42

2021

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Avalanche and edge-of-chaos criticality do not necessarily co-occur in neural networks

Simple Deconvolution Models for Evaluating the True Microhardness of Thin Nanostructured Coatings Deposited via an Advanced Physical Vapor Deposition Technique

Fingerprints of a second order critical line in developing neural networks

Natural data structure extracted from neighborhood-similarity graphs

Universality in the firing of minicolumnar-type neural networks

Excess Entropies Suggest the Physiology of Neurons to Be Primed for Higher-Level Computation

Perspectives on the impact of generative AI on early‐childhood development and education

Frequency sensitivity in mammalian hearing from a fundamental nonlinear physics model of the inner ear

Nanoindentation Response Analysis of Thin Film Substrates-II: Strain Hardening-Softening Oscillations in Subsurface Layer

Big data naturally rescaled

Phase Response Properties of Rulkov Model Neurons

Tribological and Mechanical Properties of the Nanostructured Superlattice Coatings with Respect to Surface Texture

Tribological and Micromechanical Properties of the Nanostructured Carbonitride/Nitride Coatings of Transition Metals Alloyed by Hf and Nb

Nanostructured TiAlSi-CN:Me/a-CN:Si3N4 Composite Coatings Deposited by Advanced PVD Technique

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