Hirai, M. and Senju, Atsushi (2020) The two-process theory of biological motion processing. Neuroscience & Biobehavioral Reviews 111 , pp. 114-124. ISSN 0149-7634.
![[img]](https://eprints.bbk.ac.uk/style/images/fileicons/text.png) |
Text
30560.pdf - Author's Accepted Manuscript Restricted to Repository staff only Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (546kB) | Request a copy |
Abstract
Perception, identification, and understanding of others’ actions from motion information are vital for our survival in the social world. A breakthrough in the understanding of action perception was the discovery that our visual system is sensitive to human action from the sparse motion input of only a dozen point lights, a phenomenon known as biological motion (BM) processing. Previous psychological and computational models cannot fully explain the emerging evidence for the existence of BM processing during early ontogeny. Here, we propose a two-process model of the mechanisms underlying BM processing. We hypothesize that the first system, the ‘Step Detector,’ rapidly processes the local foot motion and feet-below-the-body information that is specific to vertebrates, is less dependent on postnatal learning, and involves subcortical networks. The second system, the ‘Bodily Action Evaluator,’ slowly processes the fine global structure-from-motion, is specific to conspecific, and dependent on gradual learning processed in cortical networks. This proposed model provides new insight into research on the development of BM processing.
Metadata
| Item Type: | Article |
|---|---|
| Keyword(s) / Subject(s): | Biological motion, Developmental changes, Point-light walker, Subcortical network, Two-process theory |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Psychological Sciences |
| Depositing User: | Administrator |
| Date Deposited: | 10 Jan 2020 13:48 |
| Last Modified: | 02 Aug 2023 17:56 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/30560 |
Statistics
Additional statistics are available via IRStats2.
Archive Staff Only (login required)
