ArticleBrain informatics2017
Name-calling in the hippocampus (and beyond): coming to terms with neuron types and properties.
Article in Brain informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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.
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.
Who cites it
23 citing papers in PubMed.
- Hippocampome.org, a resource for subicular neuron types and beyond.bioRxiv : the preprint server for biology · 2025Article
- The legacies of A. O. Dennis Willows and Peter A. Getting: neuroscience research usingJournal of neurophysiology · 2025Review
- Automating literature screening and curation with applications to computational neuroscience.Journal of the American Medical Informatics Association : JAMIA · 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
- 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
- A guide to the BRAIN Initiative Cell Census Network data ecosystem.PLoS biology · 2023Article
- Assisted neuroscience knowledge extraction via machine learning applied to neural reconstruction metadata on NeuroMorpho.Org.Brain informatics · 2022Article
- Pathological Networks Involving Dysmorphic Neurons in Type II Focal Cortical Dysplasia.Neuroscience bulletin · 2022Article
- Quantification of neuron types in the rodent hippocampal formation by data mining and numerical optimization.The European journal of neuroscience · 2022Article
- Comprehensive Estimates of Potential Synaptic Connections in Local Circuits of the Rodent Hippocampal Formation by Axonal-Dendritic Overlap.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Database of literature derived cellular measurements from the murine basal ganglia.Scientific data · 2020Article
- A comprehensive knowledge base of synaptic electrophysiology in the rodent hippocampal formation.Hippocampus · 2020Article
- An open-source framework for neuroscience metadata management applied to digital reconstructions of neuronal morphology.Brain informatics · 2020Article
- Quantitative firing pattern phenotyping of hippocampal neuron types.Scientific reports · 2019Article
- Neuron Names: A Gene- and Property-Based Name Format, With Special Reference to Cortical Neurons.Frontiers in neuroanatomy · 2019Article
- Morphological and Functional Characterization of Non-fast-Spiking GABAergic Interneurons in Layer 4 Microcircuitry of Rat Barrel Cortex.Cerebral cortex (New York, N.Y. : 1991) · 2018Article
- An ontology-based search engine for digital reconstructions of neuronal morphology.Brain informatics · 2017Article
- The Neuronal and Peripheral Expressed Membrane-Bound UNC93A Respond to Nutrient Availability in Mice.Frontiers in molecular neuroscience · 2017Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Widely spread naming inconsistencies in neuroscience pose a vexing obstacle to effective communication within and across areas of expertise. This problem is particularly acute when identifying neuron types and their properties. Hippocampome.org is a web-accessible neuroinformatics resource that organizes existing data about essential properties of all known neuron types in the rodent hippocampal formation. Hippocampome.org links evidence supporting the assignment of a property to a type with direct pointers to quotes and figures. Mining this knowledge from peer-reviewed reports reveals the troubling extent of terminological ambiguity and undefined terms. Examples span simple cases of using multiple synonyms and acronyms for the same molecular biomarkers (or other property) to more complex cases of neuronal naming. New publications often use different terms without mapping them to previous terms. As a result, neurons of the same type are assigned disparate names, while neurons of different types are bestowed the same name. Furthermore, non-unique properties are frequently used as names, and several neuron types are not named at all. In order to alleviate this nomenclature confusion regarding hippocampal neuron types and properties, we introduce a new functionality of Hippocampome.org: a fully searchable, curated catalog of human and machine-readable definitions, each linked to the corresponding neuron and property terms. Furthermore, we extend our robust approach to providing each neuron type with an informative name and unique identifier by mapping all encountered synonyms and homonyms.
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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.