Skip to main content

Figure-Ground Segregation, Computational Neural Models of

  • Living reference work entry
  • First Online:
Encyclopedia of Computational Neuroscience

Definition

Figure-ground segregation refers to the capacity of a visual system to rapidly and reliably pick out for greater visual analysis, attention, or awareness, or preparation for motor action, a region of the visual field (figure) that is distinct from the combined areas of all the rest of the visual field (ground). The “figure” region is often, but not necessarily, bounded by a single closed visual contour, and the figure region is often said to “own” the boundary between it and any adjacent regions. The figure region is generally experienced as “in front of” (along lines of sight) surfaces of objects that are in the ground region. Once figure-ground segmentation is achieved, the figure region often delineates a zone of additional attentive visual processing.

Detailed Description

The Importance of Figure-Ground Segregation

Visual function in animals has broadly increased in complexity and competence across eons of evolution, with figure-ground perception being among the later...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

References

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ennio Mingolla .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Science+Business Media, LLC, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Yazdanbakhsh, A., Mingolla, E. (2019). Figure-Ground Segregation, Computational Neural Models of. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_100660-1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_100660-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-7320-6

  • Online ISBN: 978-1-4614-7320-6

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

Publish with us

Policies and ethics