Evidence map›Paper›PMID 36567262›Full record

ReviewThe Journal of physiology2023

Simulations of cortical networks using spatially extended conductance-based neuronal models.

Darrell Haufler, Shinya Ito, Christof Koch, Anton Arkhipov

Abstract readReview
In one paragraph

Review in The Journal of physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. A Python toolbox for neural circuit parameter inference.NPJ systems biology and applications · 2025
    Article
  4. Review
  5. Article
  6. Large-Scale Mechanistic Models of Brain Circuits with Biophysically and Morphologically Detailed Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Review
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Darrell HauflerMindscope Program, Allen Institute, Seattle, Washington, USA.
Shinya ItoMindscope Program, Allen Institute, Seattle, Washington, USA.
Christof KochMindscope Program, Allen Institute, Seattle, Washington, USA.
Anton ArkhipovMindscope Program, Allen Institute, Seattle, Washington, USA.ORCID 0000-0003-1106-8310

Funding

Cell Type and Circuit Mechanisms of Non-Invasive Brain Stimulation by Sensory EntrainmentR01NS122742 · NINDS · ALLEN INSTITUTE · PI ANTON ARKHIPOV, Li-Huei Tsai · 2021 to 2026
$4.1M
Advancing Bio-Realistic Modeling via the Brain Modeling ToolKit and SONATA Data FormatU24NS124001 · NINDS · ALLEN INSTITUTE · PI ANTON ARKHIPOV, Emad Tajkhorshid · 2021 to 2026
$3.4M
Modeling the structure-function relation in a reconstructed cortical tissueR01EB029813 · NIBIB · ALLEN INSTITUTE · PI ARKHIPOV, ANTON, MIHALAS, STEFAN · 2020 to 2020
$1.3M
NIBIB NIH HHS R01 EB029813NINDS NIH HHS R01 NS122742NINDS NIH HHS U24 NS124001
6 · The paper itself

Abstract

The Hodgkin-Huxley model of action potential generation and propagation, published in the Journal of Physiology in 1952, initiated the field of biophysically detailed computational modelling in neuroscience, which has expanded to encompass a variety of species and components of the nervous system. Here we review the developments in this area with a focus on efforts in the community towards modelling the mammalian neocortex using spatially extended conductance-based neuronal models. The Hodgkin-Huxley formalism and related foundational contributions, such as Rall's cable theory, remain widely used in these efforts to the current day. We argue that at present the field is undergoing a qualitative change due to new very rich datasets describing the composition, connectivity and functional activity of cortical circuits, which are being integrated systematically into large-scale network models. This trend, combined with the accelerating development of convenient software tools supporting such complex modelling projects, is giving rise to highly detailed models of the cortex that are extensively constrained by the data, enabling computational investigation of a multitude of questions about cortical structure and function.

Indexed as

NeocortexNeuronsAction PotentialsAnimalsComputer SimulationMammalsModels, Neurologicalbiophysically detailed modelscortexHodgkin-Huxley equationsmodellingmulticompartment modelssimulation

Identifiers

PMID36567262
PMCPMC10290729

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.