Evidence map›Paper›PMID 25995354›Full record

ArticleJournal of neurophysiology2015

Speed-accuracy tradeoff by a control signal with balanced excitation and inhibition.

Chung-Chuan Lo, Cheng-Te Wang, Xiao-Jing Wang

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Working Memory and Decision-Making in a Frontoparietal Circuit Model.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    Article
  15. Article
  16. RELATING ACCUMULATOR MODEL PARAMETERS AND NEURAL DYNAMICS.Journal of mathematical psychology · 2017
    Article
  17. Neural Evidence for a Role of Urgency in the Speed-Accuracy Trade-off in Perceptual Decision-Making.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016
    Review
  18. Article
  19. Neural dynamics and circuit mechanisms of decision-making.Current opinion in neurobiology · 2012
    Review
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

3 authors.

Chung-Chuan LoInstitute of Systems Neuroscience, National Tsing Hua University, Hsinchu, Taiwan; Brain Research Center, National Tsing Hua University, Hsinchu, Taiwan; and.
Cheng-Te WangInstitute of Systems Neuroscience, National Tsing Hua University, Hsinchu, Taiwan;
Xiao-Jing WangCenter for Neural Science, New York University, New York, New York xjwang@nyu.edu.

Funding

Recurrent Neual Circuit Basis of Time Integration and Decision MakingR01MH062349 · NIMH · YALE UNIVERSITY · PI WANG, XIAO-JING · 2001 to 2022
$7.2M
NIMH NIH HHS R01 MH062349NIMH NIH HHS R01-MH062349
6 · The paper itself

Abstract

A hallmark of flexible behavior is the brain's ability to dynamically adjust speed and accuracy in decision-making. Recent studies suggested that such adjustments modulate not only the decision threshold, but also the rate of evidence accumulation. However, the underlying neuronal-level mechanism of the rate change remains unclear. In this work, using a spiking neural network model of perceptual decision, we demonstrate that speed and accuracy of a decision process can be effectively adjusted by manipulating a top-down control signal with balanced excitation and inhibition [balanced synaptic input (BSI)]. Our model predicts that emphasizing accuracy over speed leads to reduced rate of ramping activity and reduced baseline activity of decision neurons, which have been observed recently at the level of single neurons recorded from behaving monkeys in speed-accuracy tradeoff tasks. Moreover, we found that an increased inhibitory component of BSI skews the decision time distribution and produces a pronounced exponential tail, which is commonly observed in human studies. Our findings suggest that BSI can serve as a top-down control mechanism to rapidly and parametrically trade between speed and accuracy, and such a cognitive control signal presents both when the subjects emphasize accuracy or speed in perceptual decisions.

Indexed as

Decision MakingNeural Networks, ComputerAction PotentialsAnimalsHaplorhiniNeural InhibitionNeuronsParietal LobePsychomotor PerformanceSynapsesTime Factorsbalanced inputdecision makingspeed-accuracy tradeofftop-down control

Identifiers

PMID25995354
PMCPMC4512247

What OpenQuestion holds

Textmetadata
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.