ArticlePLoS computational biology2019
Simple models of quantitative firing phenotypes in hippocampal neurons: Comprehensive coverage of intrinsic diversity.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Hippocampal long-range GABAergic neurons target hippocampal-projecting cells of the supramammillary area.The Journal of physiology · 2026Article
- Hippocampome.org, a resource for subicular neuron types and beyond.bioRxiv : the preprint server for biology · 2025Article
- Organization and Community Usage of a Neuron Type Circuitry Knowledge Base of the Hippocampal Formation.Biomedicines · 2025Article
- Biologically-informed excitatory and inhibitory ratio for robust spiking neural network training.Scientific reports · 2025Article
- Formation and retrieval of cell assemblies in a biologically realistic spiking neural network model of area CA3 in the mouse hippocampus.Journal of computational neuroscience · 2024Article
- A Continuous Attractor Model with Realistic Neural and Synaptic Properties Quantitatively Reproduces Grid Cell Physiology.International journal of molecular sciences · 2024Article
- A Continuous Attractor Model with Realistic Neural and Synaptic Properties Quantitatively Reproduces Grid Cell Physiology.bioRxiv : the preprint server for biology · 2024Article
- Formation and Retrieval of Cell Assemblies in a Biologically Realistic Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus.bioRxiv : the preprint server for biology · 2024Article
- Article
- Hippocampome.org v2.0: a knowledge base enabling data-driven spiking neural network simulations of rodent hippocampal circuits.bioRxiv : the preprint server for biology · 2024Article
- Robust Resting-State Dynamics in a Large-Scale Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus.Cognitive computation · 2023Article
- Phase relations of interneuronal activity relative to theta rhythm.Frontiers in neural circuits · 2023Article
- Loss ofProceedings of the National Academy of Sciences of the United States of America · 2022Article
- A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits.Scientific reports · 2022Article
- Normalized unitary synaptic signaling of the hippocampus and entorhinal cortex predicted by deep learning of experimental recordings.Communications biology · 2022Article
- Quantification of neuron types in the rodent hippocampal formation by data mining and numerical optimization.The European journal of neuroscience · 2022Article
- Synaptic Role in Facilitating Synchronous Theta Oscillations in a Hybrid Hippocampal Neuronal Network.Frontiers in computational neuroscience · 2022Article
- Spiking Neural Networks and Hippocampal Function: A Web-Accessible Survey of Simulations, Modeling Methods, and Underlying Theories.Cognitive systems research · 2021Article
- Biological constraints on neural network models of cognitive function.Nature reviews. Neuroscience · 2021Review
- Chronic stress differentially alters mRNA expression of opioid peptides and receptors in the dorsal hippocampus of female and male rats.The Journal of comparative neurology · 2021Article
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5 authors.
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Abstract
Patterns of periodic voltage spikes elicited by a neuron help define its dynamical identity. Experimentally recorded spike trains from various neurons show qualitatively distinguishable features such as delayed spiking, spiking with or without frequency adaptation, and intrinsic bursting. Moreover, the input-dependent responses of a neuron not only show different quantitative features, such as higher spike frequency for a stronger input current injection, but can also exhibit qualitatively different responses, such as spiking and bursting under different input conditions, thus forming a complex phenotype of responses. In previous work, the comprehensive knowledge base of hippocampal neuron types Hippocampome.org systematically characterized various spike pattern phenotypes experimentally identified from 120 neuron types/subtypes. In this paper, we present a complete set of simple phenomenological models that quantitatively reproduce the diverse and complex phenotypes of hippocampal neurons. In addition to point-neuron models, we created compact multi-compartment models with up to four compartments, which will allow spatial segregation of synaptic integration in network simulations. Electrotonic compartmentalization observed in our compact multi-compartment models is qualitatively consistent with experimental observations. The models were created using an automated pipeline based on evolutionary algorithms. This work maps 120 neuron types/subtypes in the rodent hippocampus to a low-dimensional model space and adds another dimension to the knowledge accumulated in Hippocampome.org. Computationally efficient representations of intrinsic dynamics, along with other pieces of knowledge available in Hippocampome.org, provide a biologically realistic platform to explore the large-scale interactions of various neuron types at the mesoscopic level.
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