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Hippocampome.org v2.0: a knowledge base enabling data-driven spiking neural network simulations of rodent hippocampal circuits

View ORCID ProfileDiek W. Wheeler, Jeffrey D. Kopsick, Nate Sutton, Carolina Tecuatl, Alexander O. Komendantov, Kasturi Nadella, View ORCID ProfileGiorgio A. Ascoli
doi: https://doi.org/10.1101/2023.05.12.540597
Diek W. Wheeler
1Center for Neural Informatics, Structures, & Plasticity; Krasnow Institute for Advanced Study; George Mason University, Fairfax, VA, USA
3Bioengineering Department and Center for Neural Informatics, Structures, & Plasticity; College of Engineering and Computing; George Mason University, Fairfax, VA, USA
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  • ORCID record for Diek W. Wheeler
Jeffrey D. Kopsick
1Center for Neural Informatics, Structures, & Plasticity; Krasnow Institute for Advanced Study; George Mason University, Fairfax, VA, USA
2Interdisciplinary Program in Neuroscience; College of Science; George Mason University, Fairfax, VA, USA
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Nate Sutton
1Center for Neural Informatics, Structures, & Plasticity; Krasnow Institute for Advanced Study; George Mason University, Fairfax, VA, USA
3Bioengineering Department and Center for Neural Informatics, Structures, & Plasticity; College of Engineering and Computing; George Mason University, Fairfax, VA, USA
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Carolina Tecuatl
1Center for Neural Informatics, Structures, & Plasticity; Krasnow Institute for Advanced Study; George Mason University, Fairfax, VA, USA
3Bioengineering Department and Center for Neural Informatics, Structures, & Plasticity; College of Engineering and Computing; George Mason University, Fairfax, VA, USA
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Alexander O. Komendantov
1Center for Neural Informatics, Structures, & Plasticity; Krasnow Institute for Advanced Study; George Mason University, Fairfax, VA, USA
3Bioengineering Department and Center for Neural Informatics, Structures, & Plasticity; College of Engineering and Computing; George Mason University, Fairfax, VA, USA
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Kasturi Nadella
1Center for Neural Informatics, Structures, & Plasticity; Krasnow Institute for Advanced Study; George Mason University, Fairfax, VA, USA
3Bioengineering Department and Center for Neural Informatics, Structures, & Plasticity; College of Engineering and Computing; George Mason University, Fairfax, VA, USA
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Giorgio A. Ascoli
1Center for Neural Informatics, Structures, & Plasticity; Krasnow Institute for Advanced Study; George Mason University, Fairfax, VA, USA
2Interdisciplinary Program in Neuroscience; College of Science; George Mason University, Fairfax, VA, USA
3Bioengineering Department and Center for Neural Informatics, Structures, & Plasticity; College of Engineering and Computing; George Mason University, Fairfax, VA, USA
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  • For correspondence: [email protected]
  • Abstract
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Abstract

Hippocampome.org is a mature open-access knowledge base of the rodent hippocampal formation focusing on neuron types and their properties. 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. 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.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Minor editing changes.

  • Glossary of abbreviations

    5HT-3
    serotonin receptor 3
    AA
    EC LII Axo-axonic cell
    AAC
    Axo-axonic cell
    ABA
    Allen Brain Atlas
    APampl
    action potential amplitude
    APwidth
    action potential width
    ASP.
    adapting spiking
    Astn2
    astrotactin 2
    BC
    Basket cell
    BC MP
    EC LII Basket-Multipolar cell
    BiC
    Bistratified cell
    BICCN
    BRAIN Initiative Cell Census Network
    C
    Capacitance
    CB
    calbindin
    CB1
    cannabinoid receptor type 1
    CCK+
    cholecystokinin-positive
    CR
    calretinin
    CSV
    comma-separated value
    Dcn
    decorin
    DG
    dentate gyrus
    E-E
    excitatory to excitatory
    E-I
    excitatory to inhibitory
    EC
    entorhinal cortex
    ENK
    enkephalin
    fAHP
    fast after-hyperpolarizing potential
    g
    conductance constant
    GABAa α1
    GABA-a alpha 1 subunit
    GC
    granule cell
    Gpc3
    glypican 3
    GPUs
    graphical processing units
    GRALDEN
    GRAnule-Like DENdrites
    Garci
    grid cell
    Grp
    gastrin releasing peptide
    GUI
    graphical user interface
    H
    hilus
    HIPROM
    Hilar Interneuron with PRojections to the Outer Molecular layer
    Htr2c
    5-hydroxytryptamine receptor 2c
    I-E
    inhibitory to excitatory
    I-I
    inhibitory to inhibitory
    IS
    interneuron specific
    LI-II
    layers 1-2
    LII
    layer 2
    LIII
    layer 3
    Max FR
    maximum firing rate
    MEC
    medial entorhinal cortex
    MFA
    Mossy Fiber-Associated
    mGluR1a
    metabotropic glutamate receptor 1 alpha
    MOCAP
    cell with MOlecular Commissural-Associational Pathway-related axons and dendrites
    MOLAX
    MOlecular Layer Axons
    MP PC
    EC LI-II Multipolar Pyramidal cell
    Mus2R
    muscarinic type 2 receptor
    NASP
    non-adapting spiking
    Ndst4
    N-deacetylase and N-sulfotransferase 4
    nNOS
    neuronal nitric oxide synthase
    Nov
    nephroblastoma overexpressed
    NPY
    neuropeptide Y
    Nr3c2
    nuclear receptor subfamily 3 group C member 2
    Nr4a1
    nuclear receptor subfamily 4 group A member 1
    ORAX
    ORiens AXons
    ORDEN
    ORiens DENdrites
    PC
    pyramidal cell / CA1 Pyramidal cell (Fig. 9B)
    PL
    polymorphic layer
    PoE
    pieces of evidence
    PoK
    pieces of knowledge
    Prss12
    serine protease 12
    Prss23
    serine protease 23
    PV+
    parvalbumin-positive
    QuadD-LM
    quadrilaminar dendrites – lacunosum-moleculare
    Rin
    input resistance
    RLN
    reelin
    sAHP
    slow after-hyperpolarizing potential
    SC
    MEC LII Stellate cell
    SD
    standard deviation
    SG
    stratum granulosum
    SL
    stratum lucidum
    SLM
    stratum lacunosum-moleculare
    SMi
    inner stratum moleculare
    SMo
    outer stratum moleculare
    SO
    stratum oriens
    SOM
    somatostatin
    SP
    stratum pyramidale
    SR
    stratum radiatum
    Sub
    subiculum
    SWR
    sharp-wave ripple
    SynGO
    synaptic gene ontologies
    T
    Temperature
    τd
    synaptic decay constant
    τf
    facilitation time constant
    τm
    membrane time constant
    τr
    recovery time constant
    TPM
    Tsodyks-Pawelzik-Markram
    TSTUT.
    transient stuttering
    TSTUT.PSTUT
    transient stuttering followed by persistent stuttering
    TSTUT.SLN
    silence preceded by transient stuttering
    U
    utilization ratio
    vGluT3
    vesicular glutamate transporter 3
    Vh
    holding potential
    VIP
    vasoactive intestinal polypeptide
    Vmin
    post-spike reset potential
    Vpeak
    spike cutoff potential
    Vr / Vrest
    resting membrane potential
    Vt / Vthresh
    firing threshold potential
    WA BC
    Wide-arbor Basket cell
    Wfs1
    wolframin ER transmembrane glycoprotein
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    Hippocampome.org v2.0: 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
    bioRxiv 2023.05.12.540597; doi: https://doi.org/10.1101/2023.05.12.540597
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    Hippocampome.org v2.0: 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
    bioRxiv 2023.05.12.540597; doi: https://doi.org/10.1101/2023.05.12.540597

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