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Gain Mechanisms for Contextually Guided Visuomotor Transformations

Brozović, Marina and Gail, Alexander and Andersen, Richard A. (2007) Gain Mechanisms for Contextually Guided Visuomotor Transformations. Journal of Neuroscience, 27 (39). pp. 10588-10596. ISSN 0270-6474. PMCID PMC6673148. doi:10.1523/jneurosci.2685-07.2007. https://resolver.caltech.edu/CaltechAUTHORS:20190903-074025281

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Abstract

A prevailing question in sensorimotor research is the integration of sensory signals with abstract behavioral rules (contexts) and how this results in decisions about motor actions. We used neural network models to study how context-specific visuomotor remapping may depend on the functional connectivity among multiple layers. Networks were trained to perform different rotational visuomotor associations, depending on the stimulus color (a nonspatial context signal). In network I, the context signal was propagated forward through the network (bottom-up), whereas in network II, it was propagated backwards (top-down). During the presentation of the visual cue stimulus, both networks integrate the context with the sensory information via a mechanism similar to the classic gain field. The recurrence in the networks hidden layers allowed a simulation of the multimodal integration over time. Network I learned to perform the proper visuomotor transformations based on a context-modulated memory of the visual cue in its hidden layer activity. In network II, a brief visual response, which was driven by the sensory input, is quickly replaced by a context-modulated motor-goal representation in the hidden layer. This happens because of a dominant feedback signal from the output layer that first conveys context information, and then, after the disappearance of the visual cue, conveys motor goal information. We also show that the origin of the context information is not necessarily closely tied to the top-down feedback. However, we suggest that the predominance of motor-goal representations found in the parietal cortex during context-specific movement planning might be the consequence of strong top-down feedback originating from within the parietal lobe or from the frontal lobe.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1523/jneurosci.2685-07.2007DOIArticle
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6673148PubMed CentralArticle
ORCID:
AuthorORCID
Andersen, Richard A.0000-0002-7947-0472
Additional Information:© 2007 Society for Neuroscience. Received Nov. 28, 2006; revised Aug. 4, 2007; accepted Aug. 14, 2007. This work was supported by the Swartz Fellowship, Federal Ministry for Education and Research (Bundesministerium für Bildung und Forschung, Germany) Grant 01GQ0433, and the National Institutes of Health. We thank T. Yao and V. Shcherbatyuk for administrative and technical support. M.B. and A.G. contributed equally to this work.
Funders:
Funding AgencyGrant Number
Swartz FoundationUNSPECIFIED
Bundesministerium für Bildung und Forschung (BMBF)01GQ0433
NIHUNSPECIFIED
Subject Keywords:context; rule-guided behavior; sensorimotor transformations; recurrent networks; parietal cortex; feedback
Issue or Number:39
PubMed Central ID:PMC6673148
DOI:10.1523/jneurosci.2685-07.2007
Record Number:CaltechAUTHORS:20190903-074025281
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190903-074025281
Official Citation:Gain Mechanisms for Contextually Guided Visuomotor Transformations. Marina Brozović, Alexander Gail, Richard A. Andersen. Journal of Neuroscience 26 September 2007, 27 (39) 10588-10596; DOI: 10.1523/JNEUROSCI.2685-07.2007
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:98379
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:03 Sep 2019 16:14
Last Modified:04 Mar 2022 16:27

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