Multidimensional Representation Dynamics for Abstract Visual Objects in Encoded Tangram Paradigms

These findings demonstrate that tangram stimuli, structured through cognitive-associative encoding, provide a generalizable computational framework for investigating the dynamic stages of human visual object cognition.

Authors

Institutions

Publication Details

Journal
Brain Sciences
Published
2025-08-28
DOI
https://doi.org/10.3390/brainsci15090941
Primary Topic
Visual perception and processing mechanisms
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multidimensional Representation Dynamics for Abstract Visual Objects in Encoded Tangram Paradigms

Li Shi, Yongxiang Lian, Shihao Pan
1 links
Brain Sciences
Visual perception and processing mechanisms
article

Multidimensional Representation Dynamics for Abstract Visual Objects in Encoded Tangram Paradigms

Li Shi, Yongxiang Lian, Shihao Pan
article en

Abstract

These findings demonstrate that tangram stimuli, structured through cognitive-associative encoding, provide a generalizable computational framework for investigating the dynamic stages of human visual object cognition.

Brain SciencesVol. 15(9)
Tsinghua University (CN)
National Social Science Fund of China
Openalex Percentile: Top 77%
Visual perception and processing mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Multidimensional Representation Dynamics for Abstract Visual Objects in Encoded Tangram Paradigms — Li Shi, Yongxiang Lian, et al. · Brain Sciences (2025) | TGRS Research Map | TGRS