Quantitative Assessment of CA1 Local Circuits: Knowledge Base for Interneuron-Pyramidal Cell Connectivity

By Marianne Bezaire, Ivan Soltesz. Hippocampus, 2013

346 citations recorded by the source corpus.

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 toward a more complete quantification of the CA1 neurons and their connectivity. © 2013 Wiley Periodicals, Inc.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/9dd8eddd43acf6ca56359e7bacabad351f5c58bd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Hua Hu
2. J. Gan
3. Ivan Soltesz
4. Peter Jonas
5. J. Parent
6. N. A. Cayco-Gajic
7. R. Silver
8. Fred H. Gage

In Cognitive Neuroscience

1. Hua Hu
2. J. Gan
3. Ivan Soltesz
4. Peter Jonas
5. N. A. Cayco-Gajic
6. R. Silver
7. Fred H. Gage

Citations in the corpus

• Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics (2017, neutral): “…simplest cortical structures – GABAergic neurons have been divided so far into at least 23 classes of distinct connectivity, firing patterns, and molecular content (Bezaire and Soltesz, 2013; Freund and Buzsaki, 1996; Klausberger and Somogyi, 2008; Somogyi, 2010; Wheeler et al., 2015).”
• Fast-spiking, parvalbumin+ GABAergic interneurons: From cellular design to microcircuit function (2014, background): “Thus, PV interneurons generate a massively divergent inhibitory output (8).”
• Extended interneuronal network of the dentate gyrus (2017, background): “…indicating that a large part of GABAergic inputs to principal cells may not originate from local interneurons present in a given circuit have important implications for recent efforts to create data-driven, full-scale biophysical models of individual hippocampal areas (Bezaire and Soltesz, 2013).”