Evidence map›Paper›PMID 35031845›Full record

ReviewBiological cybernetics2022

A biophysical counting mechanism for keeping time.

Klavdia Zemlianova, Amitabha Bose, John Rinzel

Abstract readReview
PubMed Publisher
In one paragraph

Review in Biological cybernetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. How auditory neurons count temporal intervals and decode information.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Article
  8. Dynamic models for musical rhythm perception and coordination.Frontiers in computational neuroscience · 2023
    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 at 3 institutions in 1 country.

Klavdia ZemlianovaCenter for Neural Science, New York University, New York, NY, USA. koz200@nyu.edu.ORCID 0000-0002-8204-5071
Amitabha BoseDepartment of Mathematical Sciences, New Jersey Institute of Technology, Newark, NJ, USA.
John RinzelCenter for Neural Science, New York University, New York, NY, USA.
Courant Institute of Mathematical Sciences · USNew Jersey Institute of Technology · USNew York University · US

Funding

Training a new generation of computational neuroscientists bridging neurobiology and cognitionT90DA043219 · NIDA · NEW YORK UNIVERSITY · PI MA, WEI JI, WANG, XIAO-JING · 2016 to 2020
$615k
NIDA NIH HHS T90 DA043219
6 · The paper itself

Abstract

The ability to estimate and produce appropriately timed responses is central to many behaviors including speaking, dancing, and playing a musical instrument. A classical framework for estimating or producing a time interval is the pacemaker-accumulator model in which pulses of a pacemaker are counted and compared to a stored representation. However, the neural mechanisms for how these pulses are counted remain an open question. The presence of noise and stochasticity further complicates the picture. We present a biophysical model of how to keep count of a pacemaker in the presence of various forms of stochasticity using a system of bistable Wilson-Cowan units asymmetrically connected in a one-dimensional array; all units receive the same input pulses from a central clock but only one unit is active at any point in time. With each pulse from the clock, the position of the activated unit changes thereby encoding the total number of pulses emitted by the clock. This neural architecture maps the counting problem into the spatial domain, which in turn translates count to a time estimate. We further extend the model to a hierarchical structure to be able to robustly achieve higher counts.

Indexed as

Time PerceptionBistabilityCountingInterval selectivityMathematical modelNeural modelsTemporal processingTime perceptionTiming

Identifiers

PMID35031845
OpenAlexW4206048938

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.