Evidence map›Paper›PMID 22132045›Full record

ArticleCognitive neurodynamics2010

The modeling and simulation of visuospatial working memory.

Lina Liang, Rubin Wang, Zhikang Zhang

Abstract read
In one paragraph

Article in Cognitive neurodynamics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Lina LiangInstitute for Cognitive Neurodynamics, School of Information Science and Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, People's Republic of China.
Rubin Wang
Zhikang Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Camperi and Wang (Comput Neurosci 5:383-405, 1998) presented a network model for working memory that combines intrinsic cellular bistability with the recurrent network architecture of the neocortex. While Fall and Rinzel (Comput Neurosci 20:97-107, 2006) replaced this intrinsic bistability with a biological mechanism-Ca(2+) release subsystem. In this study, we aim to further expand the above work. We integrate the traditional firing-rate network with Ca(2+) subsystem-induced bistability, amend the synaptic weights and suggest that Ca(2+) concentration only increase the efficacy of synaptic input but has nothing to do with the external input for the transient cue. We found that our network model maintained the persistent activity in response to a brief transient stimulus like that of the previous two models and the working memory performance was resistant to noise and distraction stimulus if Ca(2+) subsystem was tuned to be bistable.

Indexed as

BistabilityCalcium signalingComputational modelWorking memory

Identifiers

PMID22132045
PMCPMC2974096

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.