Evidence map›Paper›PMID 38345923›Full record

ArticleeLife2024

Hippocampome.org 2.0 is a knowledge base enabling data-driven spiking neural network simulations of rodent hippocampal circuits.

Diek W Wheeler, Jeffrey D Kopsick, Nate Sutton, Carolina Tecuatl, Alexander O Komendantov, Kasturi Nadella, Giorgio A Ascoli

Open access · goldAbstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Hippocampome.org, a resource for subicular neuron types and beyond.bioRxiv : the preprint server for biology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Diek W WheelerCenter for Neural Informatics, Structures, & Plasticity, Krasnow Institute for Advanced Study, George Mason University, Fairfax, United States.ORCID 0000-0001-8635-0033
Jeffrey D KopsickCenter for Neural Informatics, Structures, & Plasticity, Krasnow Institute for Advanced Study, George Mason University, Fairfax, United States.ORCID 0000-0002-8175-0246
Nate SuttonCenter for Neural Informatics, Structures, & Plasticity, Krasnow Institute for Advanced Study, George Mason University, Fairfax, United States.ORCID 0000-0002-4424-3886
Carolina TecuatlCenter for Neural Informatics, Structures, & Plasticity, Krasnow Institute for Advanced Study, George Mason University, Fairfax, United States.ORCID 0000-0001-6398-3444
Alexander O KomendantovCenter for Neural Informatics, Structures, & Plasticity, Krasnow Institute for Advanced Study, George Mason University, Fairfax, United States.ORCID 0009-0005-2360-4805
Kasturi NadellaCenter for Neural Informatics, Structures, & Plasticity, Krasnow Institute for Advanced Study, George Mason University, Fairfax, United States.ORCID 0009-0008-5905-5328
Giorgio A AscoliCenter for Neural Informatics, Structures, & Plasticity, Krasnow Institute for Advanced Study, George Mason University, Fairfax, United States.ORCID 0000-0002-0964-676X
George Mason University · US

Funding

Anatomical characterization of neuronal cell types of the mouse brainU01MH114829 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ASCOLI, GIORGIO A, DONG, HONG-WEI · 2017 to 2021
$13.9M
Generation and Description of Neuronal Morphology and ConnectivityR01NS039600 · NINDS · GEORGE MASON UNIVERSITY · PI ASCOLI, GIORGIO A · 1999 to 2024
$6.9M
Long-range neuronal projections: circuit blueprint or stochastic targeting? Rigorous classification of brain-wide axonal reconstructionsRF1MH128693 · NIMH · GEORGE MASON UNIVERSITY · PI ASCOLI, GIORGIO A · 2021 to 2021
$1.3M
NIH HHS R01NS39600NIH HHS RF1MH128693NIH HHS U01MH114829NIMH NIH HHS RF1 MH128693NIMH NIH HHS U01 MH114829NINDS NIH HHS R01 NS039600
6 · The paper itself

Abstract

Hippocampome.org is a mature open-access knowledge base of the rodent hippocampal formation focusing on neuron types and their properties. Previously, Hippocampome.org v1.0 established a foundational classification system identifying 122 hippocampal neuron types based on their axonal and dendritic morphologies, main neurotransmitter, membrane biophysics, and molecular expression (Wheeler et al., 2015). Releases v1.1 through v1.12 furthered the aggregation of literature-mined data, including among others neuron counts, spiking patterns, synaptic physiology, in vivo firing phases, and connection probabilities. Those additional properties increased the online information content of this public resource over 100-fold, enabling numerous independent discoveries by the scientific community. Hippocampome.org v2.0, introduced here, besides incorporating over 50 new neuron types, now recenters its focus on extending the functionality to build real-scale, biologically detailed, data-driven computational simulations. In all cases, the freely downloadable model parameters are directly linked to the specific peer-reviewed empirical evidence from which they were derived. Possible research applications include quantitative, multiscale analyses of circuit connectivity and spiking neural network simulations of activity dynamics. These advances can help generate precise, experimentally testable hypotheses and shed light on the neural mechanisms underlying associative memory and spatial navigation.

Indexed as

HippocampusRodentiaAnimalsKnowledge BasesNeural Networks, ComputerNeuronshippocampusknowledge basemouseneuroscienceopen accessratsimulation

Identifiers

PMID38345923
PMCPMC10942544
OpenAlexW4387095992

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.