Evidence map›Paper›PMID 24978936›Full record

ArticleHippocampus2014

Intrinsic mechanisms stabilize encoding and retrieval circuits differentially in a hippocampal network model.

Ali Hummos, Charles C Franklin, Satish S Nair

Open access · greenAbstract readValidation Study
In one paragraph

Article in Hippocampus, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.4field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 34 citations in OpenAlex.

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  3. Microcircuitry and oscillation features across model cortical regions.The ... Midwest Symposium on Circuits and Systems conference proceedings : MWSCAS. Midwest Symposium on Circuits and Systems · 2025
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  9. Model neocortical microcircuit supports beta and gamma rhythms.International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering · 2021
    Article
  10. An Efficient Pipeline for Biophysical Modeling of Neurons.International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering · 2021
    Article
  11. Research on Network Model of Dentate Gyrus Based on Bionics.Journal of healthcare engineering · 2021
    Article
  12. Article
  13. Neuronal Degeneration Impairs Rhythms Between Connected Microcircuits.Frontiers in computational neuroscience · 2020
    Article
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  19. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Ali HummosDepartment of Health Informatics, University of Missouri, Columbia, Missouri; Department of Psychiatry, University of Missouri, Columbia, Missouri.
Charles C Franklin
Satish S Nair
University of Missouri · US

Funding

CRCNS: Modeling Acquisition and Extinction of Fear Memories in Amygdala CircuitsR01MH087755 · NIMH · UNIVERSITY OF MISSOURI-COLUMBIA · PI NAIR, SATISH S · 2009 to 2011
$728k
NIMH NIH HHS MH087755NIMH NIH HHS R01 MH087755
6 · The paper itself

Abstract

Acetylcholine regulates memory encoding and retrieval by inducing the hippocampus to switch between pattern separation and pattern completion modes. However, both processes can introduce significant variations in the level of network activity and potentially cause a seizure-like spread of excitation. Thus, mechanisms that keep network excitation within certain bounds are necessary to prevent such instability. We developed a biologically realistic computational model of the hippocampus to investigate potential intrinsic mechanisms that might stabilize the network dynamics during encoding and retrieval. The model was developed by matching experimental data, including neuronal behavior, synaptic current dynamics, network spatial connectivity patterns, and short-term synaptic plasticity. Furthermore, it was constrained to perform pattern completion and separation under the effects of acetylcholine. The model was then used to investigate the role of short-term synaptic depression at the recurrent synapses in CA3, and inhibition by basket cell (BC) interneurons and oriens lacunosum-moleculare (OLM) interneurons in stabilizing these processes. Results showed that when CA3 was considered in isolation, inhibition solely by BCs was not sufficient to control instability. However, both inhibition by OLM cells and short-term depression at the recurrent CA3 connections stabilized the network activity. In the larger network including the dentate gyrus, the model suggested that OLM inhibition could control the network during high cholinergic levels while depressing synapses at the recurrent CA3 connections were important during low cholinergic states. Our results demonstrate that short-term plasticity is a critical property of the network that enhances its robustness. Furthermore, simulations suggested that the low and high cholinergic states can each produce runaway excitation through unique mechanisms and different pathologies. Future studies aimed at elucidating the circuit mechanisms of epilepsy could benefit from considering the two modulatory states separately.

Indexed as

Models, NeurologicalAcetylcholineAnimalsComputer SimulationHippocampusInterneuronsNeural InhibitionNeural PathwaysNeuronal PlasticityPyramidal CellsRatsSeizuresSoftwareSynapsesAcetylcholineacetylcholinebiologically realistic modelinterneuronsPattern separation and completionseizures

Identifiers

PMID24978936
PMCPMC9121438
OpenAlexW2144538328

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.