RSA based on a pairwise Euclidean distance metric from Enhanced and idiosyncratic neural representations of personally typical scenes

To compare our classifier-based metric for constructing RDMs from EEG data to a distance-based metric we additionally computed RDMs based on pairwise Euclidean distances.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28532112
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

RSA based on a pairwise Euclidean distance metric from Enhanced and idiosyncratic neural representations of personally typical scenes

Figshare
EEG and Brain-Computer Interfaces
article

RSA based on a pairwise Euclidean distance metric from Enhanced and idiosyncratic neural representations of personally typical scenes

article en

Abstract

To compare our classifier-based metric for constructing RDMs from EEG data to a distance-based metric we additionally computed RDMs based on pairwise Euclidean distances.

Figshare
Reduced inequalities
Openalex Percentile: Top 49%
EEG and Brain-Computer Interfaces
DOIOpen Access PDFOpenAlex
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.

RSA based on a pairwise Euclidean distance metric from Enhanced and idiosyncratic neural representations of personally typical scenes · Figshare (2025) | TGRS Research Map | TGRS