Evidence map›Paper›PMID 24945778›Full record

ArticleNeuron2014

Optimal control of transient dynamics in balanced networks supports generation of complex movements.

Guillaume Hennequin, Tim P Vogels, Wulfram Gerstner

Abstract read
In one paragraph

Article in Neuron, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers.

0numbers the graph read from it
0cells of the map it votes in
155citing 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

155 citing papers in PubMed.

  1. Tuft Dendrite Spikes Are Accompanied by Selective Input From Distinct Functional Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  2. Article
  3. Article
  4. Article
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  6. Functional reorganization of motor cortex connectivity during learning.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Article
  9. Article
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  11. Review
  12. A neural manifold view of the brain.Nature neuroscience · 2025
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

95 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Guillaume HennequinSchool of Computer and Communication Sciences and Brain Mind Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland; Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK. Electronic address: gjeh2@cam.ac.uk.
Tim P VogelsSchool of Computer and Communication Sciences and Brain Mind Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland; Centre for Neural Circuits and Behaviour, University of Oxford, Oxford OX1 3SR, UK.
Wulfram GerstnerSchool of Computer and Communication Sciences and Brain Mind Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.

Funding

Wellcome Trust 090309Wellcome Trust 100000
6 · The paper itself

Abstract

Populations of neurons in motor cortex engage in complex transient dynamics of large amplitude during the execution of limb movements. Traditional network models with stochastically assigned synapses cannot reproduce this behavior. Here we introduce a class of cortical architectures with strong and random excitatory recurrence that is stabilized by intricate, fine-tuned inhibition, optimized from a control theory perspective. Such networks transiently amplify specific activity states and can be used to reliably execute multidimensional movement patterns. Similar to the experimental observations, these transients must be preceded by a steady-state initialization phase from which the network relaxes back into the background state by way of complex internal dynamics. In our networks, excitation and inhibition are as tightly balanced as recently reported in experiments across several brain areas, suggesting inhibitory control of complex excitatory recurrence as a generic organizational principle in cortex.

Indexed as

AnimalsHaplorhiniMotor CortexMovementNerve NetNeuronsRandom AllocationSynaptic Potentials

Identifiers

PMID24945778
PMCPMC6364799

What OpenQuestion holds

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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.