A Sensorimotor Model for Computing Intended Reach Trajectories
Abstract
The presumed role of the primate sensorimotor system is to transform reach targets from retinotopic to joint coordinates for producing motor output. However, the interpretation of neurophysiological data within this framework is ambiguous, and has led to the view that the underlying neural computation may lack a well-defined structure. Here, I consider a model of sensorimotor computation in which temporal as well as spatial transformations generate representations of desired limb trajectories, in visual coordinates. This computation is suggested by behavioral experiments, and its modular implementation makes predictions that are consistent with those observed in monkey posterior parietal cortex (PPC). In particular, the model provides a simple explanation for why PPC encodes reach targets in reference frames intermediate between the eye and hand, and further explains why these reference frames shift during movement. Representations in PPC are thus consistent with the orderly processing of information, provided we adopt the view that sensorimotor computation manipulates desired movement trajectories, and not desired movement endpoints.
Additional Information
© 2016 Cevat Üstün. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Received: June 10, 2015; Accepted: January 5, 2016; Published: March 17, 2016. Data Availability Statement: All relevant data are within the paper. Funding: Partial support provided by Richard A. Andersen at California Institute of Technology. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. he author has declared that no competing interests exist. I thank Tyson Aflalo and Grant Mulliken for helpful discussions, and to Lindsay Bremner for comments and editorial assistance. Author Contributions: Conceived and designed the experiments: CÜ. Performed the experiments: CÜ. Analyzed the data: CÜ. Wrote the paper: CÜ.Attached Files
Published - journal.pcbi.1004734.PDF
Files
journal.pcbi.1004734.PDF
Additional details
Identifiers
- PMCID
- PMC4795795
- Eprint ID
- 65704
- Resolver ID
- CaltechAUTHORS:20160328-105413447
Funding
- Richard A. Andersen
Dates
- Created
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2016-03-30Created from EPrint's datestamp field
- Updated
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2021-11-10Created from EPrint's last_modified field