Evidence map›Paper›PMID 21775723›Full record

ArticleJournal of neurophysiology2011

Coding movement direction by burst firing in electrosensory neurons.

Navid Khosravi-Hashemi, Eric S Fortune, Maurice J Chacron

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Population Coding of Natural Electrosensory Stimuli by Midbrain Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  5. Article
  6. Serotonergic Modulation of Sensory Neuron Activity and Behavior inFrontiers in integrative neuroscience · 2020
    Article
  7. Novel Functions of Feedback in Electrosensory Processing.Frontiers in integrative neuroscience · 2019
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. The role of coupling strength and internal delay between compartments in shaping the bursting behavior of cortical neuron.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2014
    Article
  16. A neural code for looming and receding motion is distributed over a population of electrosensory ON and OFF contrast cells.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014
    Article
  17. Article
  18. Article
  19. Parallel coding of first- and second-order stimulus attributes by midbrain electrosensory neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2012
    Article
  20. 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

3 authors.

Navid Khosravi-HashemiDepartment of Physiology, McGill University, Montreal, Canada.
Eric S Fortune
Maurice J Chacron

Funding

CIHR 83338-1
6 · The paper itself

Abstract

Directional selectivity, in which neurons respond strongly to an object moving in a given direction ("preferred") but respond weakly or not at all to an object moving in the opposite direction ("null"), is a critical computation achieved in brain circuits. Previous measures of direction selectivity have compared the numbers of action potentials elicited by each direction of movement, but most sensory neurons display patterning, such as bursting, in their spike trains. To examine the contribution of patterned responses to direction selectivity, we recorded from midbrain neurons in weakly electric fish and found that most neurons responded with a combination of both bursts and isolated spikes to moving object stimuli. In these neurons, we separated bursts and isolated spikes using an interspike interval (ISI) threshold. The directional bias of bursts was significantly higher than that of either the full spike train or the isolated spike train. To examine the encoding and decoding of bursts, we built biologically plausible models that examine 1) the upstream mechanisms that generate these spiking patterns and 2) downstream decoders of bursts. Our model of upstream mechanisms uses an interaction between afferent input and subthreshold calcium channels to give rise to burst firing that occurs preferentially for one direction of movement. We tested this model in vivo by application of calcium antagonists, which reduced burst firing and eliminated the differences in direction selectivity between bursts, isolated spikes, and the full spike train. Our model of downstream decoders used strong synaptic facilitation to achieve qualitatively similar results to those obtained using the ISI threshold criterion. This model shows that direction selective information carried by bursts can be decoded by downstream neurons using biophysically plausible mechanisms.

Indexed as

MotionAction PotentialsAnimalsCalcium Channel BlockersCalcium Channels, T-TypeElectric OrganElectric StimulationGymnotiformesMesencephalonMibefradilModels, NeurologicalNeuronsNickelPerceptionPhysical StimulationSensory ThresholdsCalcium Channel BlockersCalcium Channels, T-TypeMibefradilNickelnickel chloride

Identifiers

PMID21775723
PMCPMC4850071

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.