Flow parsing as causal source separation: A computational model for concurrent retrieval of object and self-motion information from optic flow

Code and data repository for "Flow parsing as causal source separation: A computational model for concurrent retrieval of object and self-motion information from optic flow"

Publication Details

Journal
Open Science Framework
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/cz4e6
Citations
1
Primary Topic
Multisensory perception and integration
Type
article
Field-Weighted Citation Impact
2.12
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flow parsing as causal source separation: A computational model for concurrent retrieval of object and self-motion information from optic flow

1 citations
Open Science Framework
Multisensory perception and integration
2.12
article

Flow parsing as causal source separation: A computational model for concurrent retrieval of object and self-motion information from optic flow

article en
1 citations

Abstract

Code and data repository for "Flow parsing as causal source separation: A computational model for concurrent retrieval of object and self-motion information from optic flow"

Open Science Framework
Reduced inequalities
Openalex Percentile: Top 9%
Multisensory perception and integration
2.12
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.

Flow parsing as causal source separation: A computational model for concurrent retrieval of object and self-motion information from optic flow · Open Science Framework (2025) | TGRS Research Map | TGRS