Evidence map›Paper›PMID 35041645›Full record

ArticlePLoS computational biology2022

Ultrafast population coding and axo-somatic compartmentalization.

Chenfei Zhang, David Hofmann, Andreas Neef, Fred Wolf

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

4 citing papers in PubMed, 70 citations in OpenAlex.

  1. Review
  2. Dynamic Gain Decomposition Reveals Functional Effects of Dendrites, Ion Channels, and Input Statistics in Population Coding.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  3. Article
  4. 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 at 2 institutions in 2 countries.

Chenfei ZhangMax Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.
David HofmannMax Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.ORCID 0000-0001-8851-2462
Andreas NeefMax Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.ORCID 0000-0003-4445-7478
Fred WolfMax Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.ORCID 0000-0002-7068-3762
Bernstein Center for Computational Neuroscience Göttingen · DEEmory University · US

Funding

Spike timing codes for motor controlR01NS099375 · NINDS · EMORY UNIVERSITY · PI SOBER, SAMUEL · 2017 to 2021
$1.7M
Neural mechanisms and behavioral consequences of non-Gaussian likelihoods in sensorimotor learningR01EB022872 · NIBIB · EMORY UNIVERSITY · PI NEMENMAN, ILYA M., SOBER, SAMUEL · 2016 to 2018
$1.2M
NIBIB NIH HHS R01 EB022872NINDS NIH HHS R01 NS099375
6 · The paper itself

Abstract

Populations of cortical neurons respond to common input within a millisecond. Morphological features and active ion channel properties were suggested to contribute to this astonishing processing speed. Here we report an exhaustive study of ultrafast population coding for varying axon initial segment (AIS) location, soma size, and axonal current properties. In particular, we studied their impact on two experimentally observed features 1) precise action potential timing, manifested in a wide-bandwidth dynamic gain, and 2) high-frequency boost under slowly fluctuating correlated input. While the density of axonal channels and their distance from the soma had a very small impact on bandwidth, it could be moderately improved by increasing soma size. When the voltage sensitivity of axonal currents was increased we observed ultrafast coding and high-frequency boost. We conclude that these computationally relevant features are strongly dependent on axonal ion channels' voltage sensitivity, but not their number or exact location. We point out that ion channel properties, unlike dendrite size, can undergo rapid physiological modification, suggesting that the temporal accuracy of neuronal population encoding could be dynamically regulated. Our results are in line with recent experimental findings in AIS pathologies and establish a framework to study structure-function relations in AIS molecular design.

Indexed as

Models, NeurologicalAction PotentialsAxonsComputational BiologyIon ChannelsNeuronsIon Channels

Identifiers

PMID35041645
PMCPMC8797191
OpenAlexW2810460765

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.