The Experts below are selected from a list of 264 Experts worldwide ranked by ideXlab platform

B Cauberghe - One of the best experts on this subject based on the ideXlab platform.

  • multivariable Frequency Response Curve fitting with application to modal parameter estimation
    Automatica, 2005
    Co-Authors: P Verboven, Patrick Guillaume, B Cauberghe
    Abstract:

    This paper presents a computational approach for the Frequency-domain identification of multivariable, discrete-time transfer function models based on a cost function minimization. The algorithm is optimized for the parametric characterization of complex high-order multivariable systems requiring a large number of model parameters, including sparse matrix methods and QR-projections for the reduction of computation time and memory requirements. The algorithm supports a multivariable Frequency-dependent weighting, which generally improves the quality of the transfer function model estimate. The overall approach is successfully demonstrated for a typical case encountered in experimental structural dynamics modelling (using modal analysis) and compared with related algorithms in order to assess the gain in computational efficiency.

  • brief paper multivariable Frequency Response Curve fitting with application to modal parameter estimation
    2005
    Co-Authors: P Verboven, Patrick Guillaume, B Cauberghe
    Abstract:

    This paper presents a computational approach for the Frequency-domain identification of multivariable, discrete-time transfer function models based on a cost function minimization. The algorithm is optimized for the parametric characterization of complex high-order multivariable systems requiring a large number of model parameters, including sparse matrix methods and QR-projections for the reduction of computation time and memory requirements. The algorithm supports a multivariable Frequency-dependent weighting, which generally improves the quality of the transfer function model estimate. The overall approach is successfully demonstrated for a typical case encountered in experimental structural dynamics modelling (using modal analysis) and compared with related algorithms in order to assess the gain in computational efficiency. 2005 Elsevier Ltd. All rights reserved.

Norio Matsuki - One of the best experts on this subject based on the ideXlab platform.

  • bdnf attenuates hippocampal ltd via activation of phospholipase c implications for a vertical shift in the Frequency Response Curve of synaptic plasticity
    European Journal of Neuroscience, 2002
    Co-Authors: Yuji Ikegaya, Yoko Ishizaka, Norio Matsuki
    Abstract:

    Recent evidence shows that neurotrophins are not only involved in neuronal survival and differentiation during development but also in modulating synaptic strength in the mature brain. To understand how neurotrophins alter this synaptic modification, we have investigated the effect of brain-derived neurotrophic factor (BDNF) on long-term depression (LTD) at Schaffer collateral-CA1 synapses in rat hippocampal slices. The slices treated with BDNF for 5 min showed significantly less LTD in Response to a 1-Hz tetanus compared with controls but displayed normal LTD when the afferents were tetanized at 10 Hz. Because BDNF enhanced long-term potentiation (LTP) induced by a 30-Hz tetanus, the synaptic modification threshold (theta(m)) as defined in the 'BCM' theory of Bienenstock Cooper & Monroe [Bienenstock et al. (1982), J. Neurosci., 2, 32-48] was not shifted. BNDF is likely to alter the capability of the plastic changes in synaptic efficacy, i.e. to produce an upward shift in the BCM Curve. The suppressive effect of BDNF on LTD was prevented by either the tyrosine kinase (Trk) receptor inhibitor K252a or the phospholipase C inhibitor U73122. Thus, TrkB activation may attenuate LTD through phospholipase C signalling pathway.

  • short communication bdnf attenuates hippocampal ltd via activation of phospholipase c implications for a vertical shift in the Frequency Response Curve of synaptic plasticity
    2002
    Co-Authors: Yuji Ikegaya, Yoko Ishizaka, Norio Matsuki
    Abstract:

    Recent evidence shows that neurotrophins are not only involved in neuronal survival and differentiation during development but also in modulating synaptic strength in the mature brain. To understand how neurotrophins alter this synaptic modification, we have investigated the effect of brain-derived neurotrophic factor (BDNF) on long-term depression (LTD) at Schaffer collateral‐ CA1 synapses in rat hippocampal slices. The slices treated with BDNF for 5 min showed significantly less LTD in Response to a 1-Hz tetanus compared with controls but displayed normal LTD when the afferents were tetanized at 10 Hz. Because BDNF enhanced long-term potentiation (LTP) induced by a 30-Hz tetanus, the synaptic modification threshold (qm) as defined in the ‘BCM’ theory of Bienenstock Cooper & Monroe [Bienenstock et al. (1982), J. Neurosci., 2, 32‐48] was not shifted. BNDF is likely to alter the capability of the plastic changes in synaptic efficacy, i.e. to produce an upward shift in the BCM Curve. The suppressive effect of BDNF on LTD was prevented by either the tyrosine kinase (Trk) receptor inhibitor K252a or the phospholipase C inhibitor U73122. Thus, TrkB activation may attenuate LTD through phospholipase C signalling pathway.

Helmut L Haas - One of the best experts on this subject based on the ideXlab platform.

  • mice deficient in endothelial nitric oxide synthase exhibit a selective deficit in hippocampal long term potentiation
    Neuroscience, 1999
    Co-Authors: R I Wilson, Axel Godecke, Ritchie E Brown, Jurgen Schrader, Helmut L Haas
    Abstract:

    Abstract Long-term potentiation, a persistent increase in synaptic efficacy, may require a retrograde signal originating in the postsynaptic cell that induces an increase in presynaptic neurotransmitter release. We have constructed a mouse homozygous for a targeted null mutation in the endothelial isoform of nitric oxide synthase and report that long-term potentiation in the CA1 region of these mice is entirely absent under weak stimulation conditions. Application of a membrane-permeant guanosine-3′,5′-cyclic monophosphate analogue during tetanus fails to compensate for this deficit, suggesting that nitric oxide produced by endothelial nitric oxide synthase may affect long-term potentiation through a cascade that does not include guanylyl cyclase. We also report that strong tetanic stimulation can induce robust long-term potentiation in these mice which is not blocked by pharmacological inhibitors of nitric oxide synthase. Furthermore, mice lacking endothelial nitric oxide synthase show no shift in the Frequency–Response Curve for the induction of long-term potentiation. Basal synaptic transmission, paired-pulse facilitation and the electrical properties of CA1 cells in these mice were similar to controls. These results support a selective role for endothelial nitric oxide synthase in long-term potentiation, but also demonstrate that nitric oxide synthase is not involved in this process under all conditions.

Daniel E Rivera - One of the best experts on this subject based on the ideXlab platform.

  • multivariable Frequency Response Curve fitting with application to control relevant parameter estimation
    Automatica, 1997
    Co-Authors: S V Gaikwad, Daniel E Rivera
    Abstract:

    Abstract A weighted least-squares method for Curve fitting multivariable, discrete-time transfer-function models from a known plant Frequency Response is presented. The algorithm supports the use of iterative, pre/post matrix-valued weighting functions, which commonly arise in control-relevant parameter estimation problems. A challenging case study involving an ill-conditioned , 40-tray high-purity binary distillation column model is presented. The closed-loop Responses from the control-relevant model are superior to those obtained from unweighted multivariable estimation methods and one element-at-a-time estimation, in spite of the fact that these latter models display a closer ‘open-loop’ fit.

P Verboven - One of the best experts on this subject based on the ideXlab platform.

  • multivariable Frequency Response Curve fitting with application to modal parameter estimation
    Automatica, 2005
    Co-Authors: P Verboven, Patrick Guillaume, B Cauberghe
    Abstract:

    This paper presents a computational approach for the Frequency-domain identification of multivariable, discrete-time transfer function models based on a cost function minimization. The algorithm is optimized for the parametric characterization of complex high-order multivariable systems requiring a large number of model parameters, including sparse matrix methods and QR-projections for the reduction of computation time and memory requirements. The algorithm supports a multivariable Frequency-dependent weighting, which generally improves the quality of the transfer function model estimate. The overall approach is successfully demonstrated for a typical case encountered in experimental structural dynamics modelling (using modal analysis) and compared with related algorithms in order to assess the gain in computational efficiency.

  • brief paper multivariable Frequency Response Curve fitting with application to modal parameter estimation
    2005
    Co-Authors: P Verboven, Patrick Guillaume, B Cauberghe
    Abstract:

    This paper presents a computational approach for the Frequency-domain identification of multivariable, discrete-time transfer function models based on a cost function minimization. The algorithm is optimized for the parametric characterization of complex high-order multivariable systems requiring a large number of model parameters, including sparse matrix methods and QR-projections for the reduction of computation time and memory requirements. The algorithm supports a multivariable Frequency-dependent weighting, which generally improves the quality of the transfer function model estimate. The overall approach is successfully demonstrated for a typical case encountered in experimental structural dynamics modelling (using modal analysis) and compared with related algorithms in order to assess the gain in computational efficiency. 2005 Elsevier Ltd. All rights reserved.