A rotational motion perception neural network based on asymmetric spatiotemporal visual information processing
- Submitting institution
-
University of Lincoln
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 24936
- Type
- D - Journal article
- DOI
-
10.1109/TNNLS.2016.2592969
- Title of journal
- IEEE Transactions on Neural Networks and Learning Systems
- Article number
- -
- First page
- 2803
- Volume
- 28
- Issue
- 11
- ISSN
- 2162-237X
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2016
- URL
-
http://doi.org/10.1109/TNNLS.2016.2592969
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Future robots or vehicles should have a 'visual brain' with functions similar to biological counterparts to deal with complex dynamic world. Rotational motion perception neurons is one type of the motion sensitive neurons found in monkeys brains with their presynptic sytsems unclear. This paper is the first to propose a bio-plaubile rotational motion perception neural network and demonstrated its efficiency and robustness with systematic experiments.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -