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System identification of metabotropic glutamate receptor dependent long–term depression

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System identification of metabotropic glutamate receptor dependent long–term depression. / Tambuyzer, T.; Ahmed, T.; Berckmans, D. et al.
In: Neural Computation, Vol. 25, No. 3, 2013, p. 650-670.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Tambuyzer, T, Ahmed, T, Berckmans, D, Taylor, CJ, Balschun, D & Aerts, J-M 2013, 'System identification of metabotropic glutamate receptor dependent long–term depression', Neural Computation, vol. 25, no. 3, pp. 650-670. https://doi.org/10.1162/NECO_a_00408

APA

Tambuyzer, T., Ahmed, T., Berckmans, D., Taylor, C. J., Balschun, D., & Aerts, J-M. (2013). System identification of metabotropic glutamate receptor dependent long–term depression. Neural Computation, 25(3), 650-670. https://doi.org/10.1162/NECO_a_00408

Vancouver

Tambuyzer T, Ahmed T, Berckmans D, Taylor CJ, Balschun D, Aerts J-M. System identification of metabotropic glutamate receptor dependent long–term depression. Neural Computation. 2013;25(3):650-670. doi: 10.1162/NECO_a_00408

Author

Tambuyzer, T. ; Ahmed, T. ; Berckmans, D. et al. / System identification of metabotropic glutamate receptor dependent long–term depression. In: Neural Computation. 2013 ; Vol. 25, No. 3. pp. 650-670.

Bibtex

@article{76aa6eebb77d4c79b44a578148167f1b,
title = "System identification of metabotropic glutamate receptor dependent long–term depression",
abstract = "Recent advances have started to uncover the underlying mechanisms of metabotropic glutamate receptor (mGluR) dependent long-term depression (LTD). However, it is not completely clear how these mechanisms are linked and it is believed that several crucial mechanisms still remain to be revealed. In this study, we investigated whether system identification (SI) methods can be used to gain insight into the mechanisms of synaptic plasticity. SI methods have shown to be an objective and powerful approach for describing how sensory neurons encode information about stimuli. However, to the author{\textquoteright}s knowledge it is the first time that SI methods are applied on electrophysiological brain slice recordings of synaptic plasticity responses. The results indicate that the SI approach is a valuable tool for reverse engineering of mGluR-LTD responses. It is suggested that such SI methods can aid to unravel the complexities of synaptic function.",
keywords = "synaptic plasticity, metabotropic glutamate receptor dependent long-term depression, hippocampus, system identification, dominant sub-processes, discrete-time transfer function models",
author = "T. Tambuyzer and T. Ahmed and D. Berckmans and Taylor, {C. James} and D. Balschun and J.-M. Aerts",
year = "2013",
doi = "10.1162/NECO_a_00408",
language = "English",
volume = "25",
pages = "650--670",
journal = "Neural Computation",
issn = "1530-888X",
publisher = "MIT Press Journals",
number = "3",

}

RIS

TY - JOUR

T1 - System identification of metabotropic glutamate receptor dependent long–term depression

AU - Tambuyzer, T.

AU - Ahmed, T.

AU - Berckmans, D.

AU - Taylor, C. James

AU - Balschun, D.

AU - Aerts, J.-M.

PY - 2013

Y1 - 2013

N2 - Recent advances have started to uncover the underlying mechanisms of metabotropic glutamate receptor (mGluR) dependent long-term depression (LTD). However, it is not completely clear how these mechanisms are linked and it is believed that several crucial mechanisms still remain to be revealed. In this study, we investigated whether system identification (SI) methods can be used to gain insight into the mechanisms of synaptic plasticity. SI methods have shown to be an objective and powerful approach for describing how sensory neurons encode information about stimuli. However, to the author’s knowledge it is the first time that SI methods are applied on electrophysiological brain slice recordings of synaptic plasticity responses. The results indicate that the SI approach is a valuable tool for reverse engineering of mGluR-LTD responses. It is suggested that such SI methods can aid to unravel the complexities of synaptic function.

AB - Recent advances have started to uncover the underlying mechanisms of metabotropic glutamate receptor (mGluR) dependent long-term depression (LTD). However, it is not completely clear how these mechanisms are linked and it is believed that several crucial mechanisms still remain to be revealed. In this study, we investigated whether system identification (SI) methods can be used to gain insight into the mechanisms of synaptic plasticity. SI methods have shown to be an objective and powerful approach for describing how sensory neurons encode information about stimuli. However, to the author’s knowledge it is the first time that SI methods are applied on electrophysiological brain slice recordings of synaptic plasticity responses. The results indicate that the SI approach is a valuable tool for reverse engineering of mGluR-LTD responses. It is suggested that such SI methods can aid to unravel the complexities of synaptic function.

KW - synaptic plasticity

KW - metabotropic glutamate receptor dependent long-term depression

KW - hippocampus

KW - system identification

KW - dominant sub-processes

KW - discrete-time transfer function models

U2 - 10.1162/NECO_a_00408

DO - 10.1162/NECO_a_00408

M3 - Journal article

VL - 25

SP - 650

EP - 670

JO - Neural Computation

JF - Neural Computation

SN - 1530-888X

IS - 3

ER -