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      Influence of active synaptic pools on the single synaptic event

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          Abstract

          <p class="first" id="Par1">The activity of the single synapse is the base of information processing and transmission in the brain as well as of important phenomena as the Long Term Potentiation which is the main mechanism for learning and memory. Although usually considered as independent events, the single quantum release gives variable postsynaptic responses which not only depend on the properties of the synapses but can be strongly influenced by the activity of other synapses. In the present paper we show the results of a series of computational experiments where pools of active synapses, in a compatible time window, influence the response of a single synapse of the considered pool. Moreover, our results show that the activity of the pool, by influencing the membrane potential, can be a significant factor in the NMDA unblocking from <span class="inline-formula"> \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\[Mg^{2+}\]\end{document} </span> increasing the contribution of this receptor type to the Excitatory Post Synaptic Current. We consequently suggest that phenomena like the LTP, which depend on NMDA activation, can occur also in subthreshold conditions due to the integration of the dendritic synaptic activity. </p>

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          Most cited references42

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          AMPA receptor trafficking and synaptic plasticity.

          Activity-dependent changes in synaptic function are believed to underlie the formation of memories. Two prominent examples are long-term potentiation (LTP) and long-term depression (LTD), whose mechanisms have been the subject of considerable scrutiny over the past few decades. Here we review the growing literature that supports a critical role for AMPA receptor trafficking in LTP and LTD, focusing on the roles proposed for specific AMPA receptor subunits and their interacting proteins. While much work remains to understand the molecular basis for synaptic plasticity, recent results on AMPA receptor trafficking provide a clear conceptual framework for future studies.
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            Dendritic computation.

            One of the central questions in neuroscience is how particular tasks, or computations, are implemented by neural networks to generate behavior. The prevailing view has been that information processing in neural networks results primarily from the properties of synapses and the connectivity of neurons within the network, with the intrinsic excitability of single neurons playing a lesser role. As a consequence, the contribution of single neurons to computation in the brain has long been underestimated. Here we review recent work showing that neuronal dendrites exhibit a range of linear and nonlinear mechanisms that allow them to implement elementary computations. We discuss why these dendritic properties may be essential for the computations performed by the neuron and the network and provide theoretical and experimental examples to support this view.
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              Synaptic plasticity at hippocampal mossy fibre synapses.

              The dentate gyrus provides the main input to the hippocampus. Information reaches the CA3 region through mossy fibre synapses made by dentate granule cell axons. Synaptic plasticity at the mossy fibre-pyramidal cell synapse is unusual for several reasons, including low basal release probability, pronounced frequency facilitation and a lack of N-methyl-D-aspartate receptor involvement in long-term potentiation. In the past few years, some of the mechanisms underlying the peculiar features of mossy fibre synapses have been elucidated. Here we describe recent work from several laboratories on the various forms of synaptic plasticity at hippocampal mossy fibre synapses. We conclude that these contacts have just begun to reveal their many secrets.
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                Author and article information

                Journal
                Cognitive Neurodynamics
                Cogn Neurodyn
                Springer Nature
                1871-4080
                1871-4099
                March 9 2018
                :
                :
                Article
                10.1007/s11571-018-9483-3
                6048015
                30137876
                3defddae-2aba-46ef-b778-15f9a31755e7
                © 2018

                http://www.springer.com/tdm

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