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  • Open Access

Non-multiplicative attentional modulation patterns in area MT

BMC Neuroscience201314 (Suppl 1) :P20

https://doi.org/10.1186/1471-2202-14-S1-P20

  • Published:

Keywords

  • Receptive Field
  • Motion Direction
  • Single Unit
  • Functional Interaction
  • Correlation Pattern

We analyzed single unit recordings in area MT from macaque monkeys performing an attentional task. They were presented a stimulus made out of two moving random-dot-patterns (RDP) within the receptive field of the recorded MT cell. In one experiment the two RDPs were spatially separated, in another they were overlapping at the same location. Attention was directed to a fixation spot or to only one of the two RDPs. The angle between the two RDPs was kept fixed at 120 degrees so that covarying the motion directions provided tuning curves with two peaks.

Using a combination of model-based and model-free approaches we found a variety of non-multiplicative effects, including significant differences between the two experimental conditions, underlying the integration of two stimuli and attentional modulation, such as changes in peak position and shape.

In order to understand these effects we explore multi-areal network models with multiple coupled rings, in which functional interactions between hypercolumns of area MT and lower hierarchical order, like V1, are taken into account. We derive a parameterization of a high-dimensional manifold representing possible coupling mechanisms which is constrained by data from the two experiments we analyzed. This allows the identification of qualitative correlation patterns between local and inter-areal functional interactions and attentional spotlight mechanisms in our modeling framework.

Declarations

Acknowledgements

Volkswagen Foundation (grant I/79868)

Bernstein Center of Computational Neuroscience Göttingen (grants 01GQ0433 and 01GQ1005C) of the BMBF and the German Research Foundation (DFG) Collaborative Research Center 889 "Cellular Mechanisms of Sensory Processing"

Authors’ Affiliations

(1)
Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany
(2)
Cognitive Neuroscience Laboratory, German Primate Center, Göttingen, Germany
(3)
Bernstein Center for Computational Neuroscience, Göttingen, Germany
(4)
Institute of Neuroinformatics, Ruhr-University, Bochum, Germany

Copyright

© Helmer et al; licensee BioMed Central Ltd. 2013

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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