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Open AccessJournal ArticleDOI

Quantitative assessment of CA1 local circuits: Knowledge base for interneuron-pyramidal cell connectivity

Marianne Bezaire, +1 more
- 01 Sep 2013 - 
- Vol. 23, Iss: 9, pp 751-785
TLDR
A current, quantitative estimate of the cellular and synaptic constituents of the CA1 region of the rat hippocampus is provided and the quantitative knowledge base assembled and synthesized here forms the basis for data‐driven, large‐scale computational modeling efforts.
Abstract
In this work, through a detailed literature review, data-mining, and extensive calculations, we provide a current, quantitative estimate of the cellular and synaptic constituents of the CA1 region of the rat hippocampus. Beyond estimating the cell numbers of GABAergic interneuron types, we calculate their convergence onto CA1 pyramidal cells and compare it with the known input synapses on CA1 pyramidal cells. The convergence calculation and comparison are also made for excitatory inputs to CA1 pyramidal cells. In addition, we provide a summary of the excitatory and inhibitory convergence onto interneurons. The quantitative knowledge base assembled and synthesized here forms the basis for data-driven, large-scale computational modeling efforts. Additionally, this work highlights specific instances where the available data are incomplete, which should inspire targeted experimental projects towards a more complete quantification of the CA1 neurons and their connectivity.

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Citations
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Journal ArticleDOI

Hippocampal sharp wave‐ripple: A cognitive biomarker for episodic memory and planning

TL;DR: Alteration of the physiological mechanisms supporting SPW‐Rs leads to their pathological conversion, “p‐ripples,” which are a marker of epileptogenic tissue and can be observed in rodent models of schizophrenia and Alzheimer's Disease.
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Fast-spiking, parvalbumin+ GABAergic interneurons: From cellular design to microcircuit function

TL;DR: Not only are PV+ interneurons involved in basic microcircuit functions, but they also play a role in complex network operations, including expansion of dynamic activity range, pattern separation, modulation of place and grid field shapes, phase precession, and gain modulation of sensory responses.
Journal ArticleDOI

Hippocampal GABAergic Inhibitory Interneurons.

TL;DR: 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.
Journal ArticleDOI

Parvalbumin-Positive Basket Cells Differentiate among Hippocampal Pyramidal Cells

TL;DR: It is found that parvalbumin-expressing basket cells (PVBCs) evoked greater inhibition in CA1 PCs located in the deep compared to superficial layer of stratum pyramidale, demonstrating bias in target selection by both the excitatory and inhibitory local connections inCA1.
References
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Journal ArticleDOI

Unbiased stereological estimation of the total number of neurons in the subdivisions of the rat hippocampus using the optical fractionator

TL;DR: A stereological method for obtaining estimates of the total number of neurons in five major subdivisions of the rat hippocampus is described, and a number of new stereological methods that have particular relevance to the quantitative study of the structure of the nervous system are briefly described in an appendix.
Journal ArticleDOI

The three-dimensional organization of the hippocampal formation: a review of anatomical data.

TL;DR: It is concluded that it is heuristically most reasonable to consider the hippocampal formation as a three-dimensional cortical region with important information processing taking place in both the transverse and long axes.
Journal ArticleDOI

Neuronal diversity and temporal dynamics: the unity of hippocampal circuit operations.

TL;DR: The spatiotemporal specializations in cortical circuits reveal that cellular diversity and temporal dynamics coemerged during evolution, providing a basis for cognitive behavior.

Big Data: A Revolution That Will Transform How We Live, Work, and Think

Eric Gossett
Abstract: Since Aristotle, we have fought to understand the causes behind everything. But this ideology is fading. The world of big data can crunch However the indirect implication of a raw material in cdc data processing. He says most common search terms think we'll have lost. At the damnation profoundly surprising conclusions, from make it seems more recently I think. Less as a fascinatingand sometimes profoundly surprising ways not knowing why only one to find knowledge.
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