Evidence map›Paper›PMID 26334004›Full record

ArticleJournal of neurophysiology2015

Counting on dis-inhibition: a circuit motif for interval counting and selectivity in the anuran auditory system.

Richard Naud, Dave Houtman, Gary J Rose, André Longtin

Open access · greenAbstract 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Long-interval neurons are selective for slower pulse rates in chorus frogs that are sympatric versus allopatric with congeneric heterospecifics.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2026
    Article
  3. Evidence that interval-counting neurons play a critical role in call recognition by Cope's gray treefrogs.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2026
    Article
  4. How auditory neurons count temporal intervals and decode information.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Periodicity Pitch Perception.Frontiers in neuroscience · 2020
    Article
  10. Article
  11. Review
  12. The numerical abilities of anurans and their neural correlates: insights from neuroethological studies of acoustic communication.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  13. Counting insects.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  14. 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.

Richard NaudDepartment of Physics, University of Ottawa, Ottawa, Canada; and.
Dave HoutmanDepartment of Physics, University of Ottawa, Ottawa, Canada; and.
Gary J RoseDepartment of Biology, University of Utah, Salt Lake City, Utah.
André LongtinDepartment of Physics, University of Ottawa, Ottawa, Canada; and alongtin@uottawa.ca.
University of Ottawa · CAUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Information can be encoded in the temporal patterning of spikes. How the brain reads these patterns is of general importance and represents one of the greatest challenges in neuroscience. We addressed this issue in relation to temporal pattern recognition in the anuran auditory system. Many species of anurans perform mating decisions based on the temporal structure of advertisement calls. One important temporal feature is the number of sound pulses that occur with a species-specific interpulse interval. Neurons representing this pulse count have been recorded in the anuran inferior colliculus, but the mechanisms underlying their temporal selectivity are incompletely understood. Here, we construct a parsimonious model that can explain the key dynamical features of these cells with biologically plausible elements. We demonstrate that interval counting arises naturally when combining interval-selective inhibition with pulse-per-pulse excitation having both fast- and slow-conductance synapses. Interval-dependent inhibition is modeled here by a simple architecture based on known physiology of afferent nuclei. Finally, we consider simple implementations of previously proposed mechanistic explanations for these counting neurons and show that they do not account for all experimental observations. Our results demonstrate that tens of millisecond-range temporal selectivities can arise from simple connectivity motifs of inhibitory neurons, without recourse to internal clocks, spike-frequency adaptation, or appreciable short-term plasticity.

Indexed as

Action PotentialsModels, NeurologicalNeural InhibitionAcoustic StimulationAnimalsAnuraAuditory PathwaysAuditory PerceptionComputer SimulationInferior ColliculiNeural Networks, ComputerNeuronsTime FactorsVocalization, Animalauditory processingcountinginterval selectivityneural networktemporal features

Identifiers

PMID26334004
PMCPMC4737424
OpenAlexW2161205205

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.