Title: System Identification of mGluR-Dependent Long-Term Depression
Authors: Tambuyzer, Tim ×
Ahmed, Tariq
Taylor, C James
Berckmans, Daniel
Balschun, Detlef
Aerts, Jean-Marie #
Issue Date: Mar-2013
Publisher: MIT Press
Series Title: Neural Computation vol:25 issue:3 pages:650-670
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 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 been shown to be an objective and powerful approach for describing how sensory neurons encode information about stimuli. However, to our knowledge, it is the first time that SI methods have been applied to 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. We suggest that such SI methods can aid in unraveling the complexities of synaptic function.
ISSN: 0899-7667
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Laboratory for Biological Psychology
Division M3-BIORES: Measure, Model & Manage Bioresponses (-)
× corresponding author
# (joint) last author

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