• Title/Summary/Keyword: Plasticity

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Long-term Synaptic Plasticity: Circuit Perturbation and Stabilization

  • Park, Joo Min;Jung, Sung-Cherl;Eun, Su-Yong
    • The Korean Journal of Physiology and Pharmacology
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    • v.18 no.6
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    • pp.457-460
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    • 2014
  • At central synapses, activity-dependent synaptic plasticity has a crucial role in information processing, storage, learning, and memory under both physiological and pathological conditions. One widely accepted model of learning mechanism and information processing in the brain is Hebbian Plasticity: long-term potentiation (LTP) and long-term depression (LTD). LTP and LTD are respectively activity-dependent enhancement and reduction in the efficacy of the synapses, which are rapid and synapse-specific processes. A number of recent studies have a strong focal point on the critical importance of another distinct form of synaptic plasticity, non-Hebbian plasticity. Non-Hebbian plasticity dynamically adjusts synaptic strength to maintain stability. This process may be very slow and occur cell-widely. By putting them all together, this mini review defines an important conceptual difference between Hebbian and non-Hebbian plasticity.

Physical Activity and Brain Plasticity

  • Moon, Hyo Youl;van Praag, Henriette
    • Korean Journal of Exercise Nutrition
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    • v.23 no.4
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    • pp.23-25
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    • 2019
  • Recent research suggests that the brain has capable of remarkable plasticity and physical activity can enhance it. In this editorial letter, we summarize the role of hippocampal plasticity in brain functions. Furthermore, we briefly sketched the factors and mechanisms of motion that influence brain plasticity. We conclude that physical activity can be an encouraging intervention for brain restoration through neuronal plasticity. At the same time, we suggest that a mechanistic understanding of the beneficial effects of exercise should be accompanied in future studies.

Elasto-Plastic Finite Element Analysis in Consideration of Phase Transformations (상변태를 고려한 탄소성 유한요소 해석)

  • Lee, M.G.;Kim, S.J.;Jeong, W.C.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2009.05a
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    • pp.334-336
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    • 2009
  • An elastic-plasticity model during the austenitic decomposition was derived and implemented to incorporate the two important deformation behaviors observed during the phase transformations: the volumetric strain and transformation induced plasticity due to the temperature change and phase transformation. To obtain transformed phase volume fractions during cooling, the fourth order Runge-Kutta method was used to solve the Kirkaldy's phase kinetics model which is function of temperature, austenitic grain size and chemical composition. The volumetric strain was calculated by considering the densities of constituent phases, while the transformation induced plasticity was based on the micro-plasticity due to the volume mismatch between soft austenitic phase and other harder phases. The constitutive equations were implemented into the implicit finite element software and a simple boundary value problem was chosen as a model problem to validate the effect of transformation plasticity on the deformation behavior of steel under cooling from high temperature. It was preliminary concluded that the transformation plasticity plays a critical role in relaxing the developed stress during forming and thus reducing the magnitude of springback.

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Evaluating the spread plasticity model of IDARC for inelastic analysis of reinforced concrete frames

  • Izadpanaha, Mehdi;Habibi, AliReza
    • Structural Engineering and Mechanics
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    • v.56 no.2
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    • pp.169-188
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    • 2015
  • There are two types of nonlinear analysis methods for building frameworks depending on the method of modeling the plastification of members including lumped plasticity and distributed plasticity. The lumped plasticity method assumes that plasticity is concentrated at a zero-length plastic hinge section at the ends of the elements. The distributed plasticity method discretizes the structural members into many line segments, and further subdivides the cross-section of each segment into a number of finite elements. When a reinforced concrete member experiences inelastic deformations, cracks tend to spread form the joint interface resulting in a curvature distribution. The program IDARC includes a spread plasticity formulation to capture the variation of the section flexibility, and combine them to determine the element stiffness matrix. In this formulation, the flexibility distribution in the structural elements is assumed to be the linear. The main objective of this study is to evaluate the accuracy of linear flexibility distribution assumed in the spread inelasticity model. For this purpose, nonlinear analysis of two reinforced concrete frames is carried out and the linear flexibility models used in the elements are compared with the real ones. It is shown that the linear flexibility distribution is incorrect assumption in cases of significant gravity load effects and can be lead to incorrect nonlinear responses in some situations.

Analysis of the nano indentation using MSG plasticity (Mechanism-based Strain Gradient Plasticity 를 이용한 나노 인덴테이션의 해석)

  • 이헌기;고성현;한준수;박현철
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.413-417
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    • 2004
  • Recent experiments have shown the 'size effects' in micro/nano scale. But the classical plasticity theories can not predict these size dependent deformation behaviors because their constitutive models have no characteristic material length scale. The Mechanism - based Strain Gradient(MSG) plasticity is proposed to analyze the non-uniform deformation behavior in micro/nano scale. The MSG plasticity is a multi-scale analysis connecting macro-scale deformation of the Statistically Stored Dislocation(SSD) and Geometrically Necessary Dislocation(GND) to the meso-scale deformation using the strain gradient. In this research we present a study of nano-indentation by the MSG plasticity. Using W. D. Nix and H. Gao s model, the analytic solution(including depth dependence of hardness) is obtained for the nano indentation , and furthermore it validated by the experiments.

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Computer Simulation of Hemispherical Sheet Forming Process Using Crystal Plasticity (결정 소성학을 이용한 반구 박판 성형공정의 전산모사)

  • Shim, J.G.;Keum, Y.T.
    • Transactions of Materials Processing
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    • v.16 no.4 s.94
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    • pp.276-281
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    • 2007
  • The hardening and the constitutive equation based on the crystal plasticity are introduced for the numerical simulation of hemispherical sheet metal forming. For calculating the deformation and the stress of the crystal, Taylor's model of the crystalline aggregate is employed. The hardening is evaluated by using the Taylor factor, the critical resolved shear stress of the slip system, and the sum of the crystallographic shears. During the hemispherical forming process, the texture of the sheet metal is evolved by the plastic deformation of the crystal. By calculating the Euler angles of the BCC sheet, the texture evolution of the sheet is traced during the forming process. Deformation texture of the BCC sheet is represented by using the pole figure. The comparison of the strain distribution and punch force in the hemispherical forming process between the prediction using crystal plasticity and experiment shows the verification of the crystal plasticity-based formulation and the accuracy of the hardening and constitutive equation obtained from the crystal plasticity.

Synaptic Plasticity in Angelman Syndrome

  • Chung, Lee-Yup
    • Development and Reproduction
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    • v.16 no.3
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    • pp.169-175
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    • 2012
  • Angelman syndrome (AS) is a neurodevelopmental disorder characterized by intellectual disability and autism. The genetic cause is the absence of UBE3A, an E3 ubiquitin ligase, from the maternal chromosome which can arise from multiple origins. Recently discovered targets of Ube3a are important for activity dependent changes in synaptic transmission and spine morphology. Plasticity studies in an AS mouse model is important for basic plasticity research with regard to understanding protein homeostasis as well as the search for therapeutic targets for the patients. The progress on synaptic plasticity from this unique disorder is reviewed.