ArticleScientific reports2019
Quantitative firing pattern phenotyping of hippocampal neuron types.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 61 citations in OpenAlex.
- 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
- Characterizing the Diversity of Layer 2/3 Human Neocortical Neurons in Pediatric Epilepsy.eNeuro · 2025Article
- Glutamate gradually elevates [ZnScientific reports · 2025Article
- Inhibition of BK channels by GABAb receptors enhances intrinsic excitability of layer 2/3 vasoactive intestinal polypeptide-expressing interneurons in mouse neocortex.The Journal of physiology · 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
- Metabolic regulation of single synaptic vesicle exo- and endocytosis in hippocampal synapses.Cell reports · 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
- Biophysical modulation and robustness of itinerant complexity in neuronal networks.Frontiers in network physiology · 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
- Multivesicular release favors short term synaptic depression in hippocampal autapses.Frontiers in cellular neuroscience · 2023Article
- Prophylactic effects of cucurbitacin B in the EAE Model of multiple sclerosis by adjustment of STAT3/IL-23/IL-17 axis and improvement of neuropsychological symptoms.Metabolic brain disease · 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
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Systematically organizing the anatomical, molecular, and physiological properties of cortical neurons is important for understanding their computational functions. Hippocampome.org defines 122 neuron types in the rodent hippocampal formation based on their somatic, axonal, and dendritic locations, putative excitatory/inhibitory outputs, molecular marker expression, and biophysical properties. We augmented the electrophysiological data of this knowledge base by collecting, quantifying, and analyzing the firing responses to depolarizing current injections for every hippocampal neuron type from published experiments. We designed and implemented objective protocols to classify firing patterns based on 5 transients (delay, adapting spiking, rapidly adapting spiking, transient stuttering, and transient slow-wave bursting) and 4 steady states (non-adapting spiking, persistent stuttering, persistent slow-wave bursting, and silence). This automated approach revealed 9 unique (plus one spurious) families of firing pattern phenotypes while distinguishing potential new neuronal subtypes. Novel statistical associations emerged between firing responses and other electrophysiological properties, morphological features, and molecular marker expression. The firing pattern parameters, experimental conditions, spike times, references to the original empirical evidences, and analysis scripts are released open-source through Hippocampome.org for all neuron types, greatly enhancing the existing search and browse capabilities. This information, collated online in human- and machine-accessible form, will help design and interpret both experiments and model simulations.
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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.