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Glutamatergic Neurotransmission in the Hippocampus

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Hippocampal Microcircuits

Part of the book series: Springer Series in Computational Neuroscience ((NEUROSCI))

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Abstract

This chapter will summarize key data about glutamatergic transmission in the hippocampus. Glutamate is the major excitatory neurotransmitter similar to other CNS regions. Biophysical properties of various receptors and channels will be described and functional relevance of these parameters discussed.

The major components of the excitatory synaptic network in the hippocampus form the so-called tri-synaptic circuit. This circuit consists of the perforant pathway input from the entorhinal cortex to the dentate gyrus, mossy fibers projecting from the dentate gyrus to the CA3 area, and Schaffer collaterals, axons of CA3 pyramidal cells innervating the CA1 area. This chapter will focus on the properties of these glutamatergic synapses, highlighting the most distinct features these inputs possess.

Glutamatergic transmission in the hippocampus is known to play a crucial role in learning and memory due to activity-dependent changes in synaptic efficacy. However, this chapter will focus on the basic properties of glutamatergic synapses, and “Synaptic Plasticity at Hippocampal Synapses” chapter will discuss synaptic plasticity in detail.

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Authors and Affiliations

  1. CERVO Brain Research Centre, Université Laval, Quebec City, QC, Canada

    Katalin Tóth

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  1. School of Computer Science, University of Lincoln, Lincoln, UK

    Vassilis Cutsuridis

  2. School of Natural Sciences, Department of Computing Science and Mathematics, University of Stirling, Stirling, UK

    Bruce P. Graham

  3. Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, UK

    Stuart Cobb

  4. Institute for Integrative Neuroanatomy, Charité – Universitätsmedizin Berlin, Berlin, Germany

    Imre Vida

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Tóth, K. (2018). Glutamatergic Neurotransmission in the Hippocampus. In: Cutsuridis, V., Graham, B., Cobb, S., Vida, I. (eds) Hippocampal Microcircuits. Springer Series in Computational Neuroscience. Springer, Cham. https://doi.org/10.1007/978-3-319-99103-0_4

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