Neural Comput - System identification of mGluR-dependent long-term depression.

Tópicos

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Resumo

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.

Resumo Limpo

recent advanc start uncov under mechan metabotrop glutam receptor mglurdepend longterm depress ltd howev complet clear mechan link believ sever crucial mechan remain reveal studi investig whether system identif si method can use gain insight mechan synapt plastic si method shown object power approach describ sensori neuron encod inform stimuli howev knowledg first time si method appli electrophysiolog brain slice record synapt plastic respons result indic si approach valuabl tool reverseengin mglurltd respons suggest si method can aid unravel complex synapt function

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