Evidence map›Paper›PMID 26536029›Full record

ArticlePLoS computational biology2015

Neural Sequence Generation Using Spatiotemporal Patterns of Inhibition.

Jonathan Cannon, Nancy Kopell, Timothy Gardner, Jeffrey Markowitz

Abstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Model of the HVC neural network as a song motor in zebra finch.Frontiers in computational neuroscience · 2024
    Article
  6. Article
  7. A feedforward inhibitory premotor circuit for auditory-vocal interactions in zebra finches.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  8. Article
  9. Characteristics of sequential activity in networks with temporally asymmetric Hebbian learning.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  10. Article
  11. Potential factors influencing replay across CA1 during sharp-wave ripples.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  12. Article
  13. Unsupervised Learning of Persistent and Sequential Activity.Frontiers in computational neuroscience · 2019
    Article
  14. Article
  15. Article
  16. 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.

Jonathan CannonDepartment of Mathematics, Boston University, Boston, Massachusetts, United States of America.
Nancy KopellDepartment of Mathematics, Boston University, Boston, Massachusetts, United States of America.
Timothy GardnerDepartment of Biology, Boston University, Boston, Massachusetts, United States of America.
Jeffrey MarkowitzDepartment of Biology, Boston University, Boston, Massachusetts, United States of America.

Funding

Single neuron mechanisms of sensory-motor learningR01NS089679 · NINDS · UNIVERSITY OF OREGON · PI GARDNER, TIMOTHY JAMES · 2014 to 2018
$1.8M
NINDS NIH HHS 1R01NS089679NINDS NIH HHS R01 NS089679
6 · The paper itself

Abstract

Stereotyped sequences of neural activity are thought to underlie reproducible behaviors and cognitive processes ranging from memory recall to arm movement. One of the most prominent theoretical models of neural sequence generation is the synfire chain, in which pulses of synchronized spiking activity propagate robustly along a chain of cells connected by highly redundant feedforward excitation. But recent experimental observations in the avian song production pathway during song generation have shown excitatory activity interacting strongly with the firing patterns of inhibitory neurons, suggesting a process of sequence generation more complex than feedforward excitation. Here we propose a model of sequence generation inspired by these observations in which a pulse travels along a spatially recurrent excitatory chain, passing repeatedly through zones of local feedback inhibition. In this model, synchrony and robust timing are maintained not through redundant excitatory connections, but rather through the interaction between the pulse and the spatiotemporal pattern of inhibition that it creates as it circulates the network. These results suggest that spatially and temporally structured inhibition may play a key role in sequence generation.

Indexed as

Models, NeurologicalAnimalsBirdsComputational BiologyComputer SimulationFeedback, PhysiologicalHumansMotor CortexNeural Inhibition

Identifiers

PMID26536029
PMCPMC4633124

What OpenQuestion holds

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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.