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Hippocampal GABAergic Inhibitory Interneurons.

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TLDR
An overview of the current state of the field of interneuron research, focusing largely on the hippocampus, discusses recent advances related to the various cell types, including their development and maturation, expression of subtype-specific voltage- and ligand-gated channels, and their roles in network oscillations.
Abstract
In the hippocampus GABAergic local circuit inhibitory interneurons represent only ~10–15% of the total neuronal population; however, their remarkable anatomical and physiological diversity allows them to regulate virtually all aspects of cellular and circuit function. Here we provide an overview of the current state of the field of interneuron research, focusing largely on the hippocampus. We discuss recent advances related to the various cell types, including their development and maturation, expression of subtype-specific voltage- and ligand-gated channels, and their roles in network oscillations. We also discuss recent technological advances and approaches that have permitted high-resolution, subtype-specific examination of their roles in numerous neural circuit disorders and the emerging therapeutic strategies to ameliorate such pathophysiological conditions. The ultimate goal of this review is not only to provide a touchstone for the current state of the field, but to help pave the way for future research by highlighting where gaps in our knowledge exist and how a complete appreciation of their roles will aid in future therapeutic strategies.

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Citations
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Journal ArticleDOI

Robust decomposition of cell type mixtures in spatial transcriptomics

TL;DR: In this paper, the authors propose robust cell type decomposition (RCTD) to detect mixtures and identify cell types on simulated datasets, which can accurately reproduce known cell type and subtype localization patterns in Slide-seq and Visium datasets.
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Robust decomposition of cell type mixtures in spatial transcriptomics

TL;DR: Robust Cell Type Decomposition (RCTD) is developed, a computational method that leverages cell type profiles learned from single-cell RNA sequencing data to decompose mixtures, such as those observed in spatial transcriptomic technologies.
Journal ArticleDOI

Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics.

TL;DR: The results elucidate the complexity of inhibitory neurons in one of the simplest cortical structures and show that characterizing these cells requires continuous modes of variation as well as discrete cell classes.
References
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Heiko Braak, +1 more
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The Hippocampus as a Cognitive Map

John O'Keefe, +1 more
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Journal ArticleDOI

The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat

TL;DR: Preliminary observations on the behaviour of hippocampusal units in the freely moving rat provide support for this theory of hippocampal function.
Journal ArticleDOI

Neuronal Oscillations in Cortical Networks

TL;DR: Recent findings indicate that network oscillations bias input selection, temporally link neurons into assemblies, and facilitate synaptic plasticity, mechanisms that cooperatively support temporal representation and long-term consolidation of information.
Journal ArticleDOI

Short-Term Synaptic Plasticity

TL;DR: The evidence for this hypothesis, and the origins of the different kinetic phases of synaptic enhancement, as well as the interpretation of statistical changes in transmitter release and roles played by other factors such as alterations in presynaptic Ca(2+) influx or postsynaptic levels of [Ca(2+)]i are discussed.
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Trending Questions (1)
Can interneuron inhibit another interneuron in cortex or hippocampus?

Yes, interneurons can inhibit other interneurons in the cortex and hippocampus, as they regulate various aspects of cellular and circuit function.