System identification of metabotropic glutamate receptor dependent long–term depression

Tambuyzer, T. and Ahmed, T. and Berckmans, D. and Taylor, C. James and Balschun, D. and Aerts, J.-M. (2013) System identification of metabotropic glutamate receptor dependent long–term depression. Neural Computation, 25 (3). pp. 650-670. ISSN 1530-888X

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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’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.

Item Type:
Journal Article
Journal or Publication Title:
Neural Computation
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2800/2805
Subjects:
ID Code:
62560
Deposited By:
Deposited On:
27 Feb 2013 16:52
Refereed?:
Yes
Published?:
Published
Last Modified:
24 Mar 2020 03:18