ArticleF1000Research2014
Simple, biologically-constrained CA1 pyramidal cell models using an intact, whole hippocampus context.
Article in F1000Research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed.
- Article
- Reproducing and quantitatively validating a biologically-constrained point-neuron model of CA1 pyramidal cells.Frontiers in integrative neuroscience · 2022Article
- A Hypothesis for Theta Rhythm Frequency Control in CA1 Microcircuits.Frontiers in neural circuits · 2021Article
- Dendritic NMDA receptors in parvalbumin neurons enable strong and stable neuronal assemblies.eLife · 2019Article
- CA1 pyramidal cells have diverse biophysical properties, affected by development, experience, and aging.PeerJ · 2017Article
- Examining the limits of cellular adaptation bursting mechanisms in biologically-based excitatory networks of the hippocampus.Journal of computational neuroscience · 2015Article
- Network models provide insights into how oriens-lacunosum-moleculare and bistratified cell interactions influence the power of local hippocampal CA1 theta oscillations.Frontiers in systems neuroscience · 2015Article
- Simple, biologically-constrained CA1 pyramidal cell models using an intact, whole hippocampus context.F1000Research · 2014Article
- Combining Theory, Model, and Experiment to Explain How Intrinsic Theta Rhythms Are Generated in aneNeuroArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The hippocampus is a heavily studied brain structure due to its involvement in learning and memory. Detailed models of excitatory, pyramidal cells in hippocampus have been developed using a range of experimental data. These models have been used to help us understand, for example, the effects of synaptic integration and voltage gated channel densities and distributions on cellular responses. However, these cellular outputs need to be considered from the perspective of the networks in which they are embedded. Using modeling approaches, if cellular representations are too detailed, it quickly becomes computationally unwieldy to explore large network simulations. Thus, simple models are preferable, but at the same time they need to have a clear, experimental basis so as to allow physiologically based understandings to emerge. In this article, we describe the development of simple models of CA1 pyramidal cells, as derived in a well-defined experimental context of an intact, whole hippocampus preparation expressing population oscillations. These models are based on the intrinsic properties and frequency-current profiles of CA1 pyramidal cells, and can be used to build, fully examine, and analyze large networks.
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Registered trials
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.