Modeling and Parameter Analysis of Basic Single Channel Neuron Mass Model for SSVEP.

Depeng Gao, Yujuan Wang, Peirong Fu, Jianlin Qiu, Hongqi Li

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Case Study on Skin Calorimetry: Modeling Localized Muscle Heat Transfer During Exercise.Biosensors · 2025
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

5 authors.

Depeng GaoSchool of Yonyou Digital and Intelligence, Nantong Institute of Technology, Nantong 226000, China.

Yujuan WangSchool of Software, Northwestern Polytechnical University, Xi'an 710000, China.

Peirong FuSchool of Software, Northwestern Polytechnical University, Xi'an 710000, China.

Jianlin QiuSchool of Yonyou Digital and Intelligence, Nantong Institute of Technology, Nantong 226000, China.

Hongqi LiSchool of Software, Northwestern Polytechnical University, Xi'an 710000, China.ORCID 0000-0003-4898-4857

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While steady-state visual evoked potentials (SSVEPs) are widely used in brain-computer interfaces (BCIs) due to their robustness to rhythmic visual stimuli, their generation mechanisms remain poorly understood. Challenges such as experimental complexity, inter-subject variability, and limited physiological interpretability hinder the development of efficient BCI systems. This study employed a single-channel neural mass model (NMM) of V1 cortical dynamics to investigate the biophysical underpinnings of SSVEP generation. By systematically varying synaptic gain, time constants, and external input parameters, we simulated

Indexed as

Evoked Potentials, VisualModels, NeurologicalNeuronsBrain-Computer InterfacesElectroencephalographyHumansPhotic StimulationVisual Cortexmodel parametersmotion controlneural mass modelparameter analysissteady-state visually evoked potential

Identifiers

PMID40292808

DOI10.3390/s25061706

PMCPMC11946077

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LicenceCC BY

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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.