Tsotsos Lab
Menu
  • News
  • People
    • Current Members
    • Lab Alumni
  • Active Research Topics
    • Active Vision
      • Active Recognition
      • Autonomous Vehicles
      • Binocular Heads
      • Complexity
      • Spatial Cognition
      • Visual Search
    • Cognitive Architectures
      • Attention Control
      • Autonomous Vehicles
      • Cognitive Programs
      • Complexity
      • Development
      • Eye Movements
      • Learning by Composition and Exploration
      • Selective Tuning
      • Spatial Cognition
      • Vision Architecture
      • Visual Working Memory
    • Computational Neuroscience
      • Attention Control
      • Colour
      • Eye Movements
      • Motion
      • Selective Tuning
      • Shape
      • Vision Architecture
    • Computer Vision
      • Active Recognition
      • Autonomous Vehicles
      • Binocular Heads
      • Biomedical Applications
      • Colour
      • Complexity
      • Motion
      • Navigation
      • Saliency
      • Selective Tuning
      • Shape
      • Spatial Cognition
      • Vision Architecture
      • Visual Search
    • Human Vision and Visual Behaviour
      • Attention Control
      • Colour
      • Complexity
      • Development
      • Eye Movements
      • Motion
      • Selective Tuning
      • Shape
      • Spatial Cognition
      • Vision Architecture
      • Visual Working Memory
    • Visual Attention
      • Attention Control
      • Autonomous Vehicles
      • Complexity
      • Development
      • Eye Movements
      • Saliency
      • Selective Tuning
      • Spatial Cognition
      • Vision Architecture
    • Visually Guided Robotics
      • Active Recognition
      • Autonomous Vehicles
      • Navigation
      • Visual Search
  • Publications
    • Publications
    • Software
    • Datasets
  • Open Positions
  • Contact
  • News
  • People
    • Current Members
    • Lab Alumni
  • Active Research Topics
    • Active Vision
      • Active Recognition
      • Autonomous Vehicles
      • Binocular Heads
      • Complexity
      • Spatial Cognition
      • Visual Search
    • Cognitive Architectures
      • Attention Control
      • Autonomous Vehicles
      • Cognitive Programs
      • Complexity
      • Development
      • Eye Movements
      • Learning by Composition and Exploration
      • Selective Tuning
      • Spatial Cognition
      • Vision Architecture
      • Visual Working Memory
    • Computational Neuroscience
      • Attention Control
      • Colour
      • Eye Movements
      • Motion
      • Selective Tuning
      • Shape
      • Vision Architecture
    • Computer Vision
      • Active Recognition
      • Autonomous Vehicles
      • Binocular Heads
      • Biomedical Applications
      • Colour
      • Complexity
      • Motion
      • Navigation
      • Saliency
      • Selective Tuning
      • Shape
      • Spatial Cognition
      • Vision Architecture
      • Visual Search
    • Human Vision and Visual Behaviour
      • Attention Control
      • Colour
      • Complexity
      • Development
      • Eye Movements
      • Motion
      • Selective Tuning
      • Shape
      • Spatial Cognition
      • Vision Architecture
      • Visual Working Memory
    • Visual Attention
      • Attention Control
      • Autonomous Vehicles
      • Complexity
      • Development
      • Eye Movements
      • Saliency
      • Selective Tuning
      • Spatial Cognition
      • Vision Architecture
    • Visually Guided Robotics
      • Active Recognition
      • Autonomous Vehicles
      • Navigation
      • Visual Search
  • Publications
    • Publications
    • Software
    • Datasets
  • Open Positions
  • Contact

Colour


Unique Hue Representation

There is still much to understand about the color processing mechanisms in the brain and the transformation from cone-opponent representations to perceptual hues. Moreover, it is unclear which area(s) in the brain represent unique hues. We propose a hierarchical model inspired by the neuronal mechanisms in the brain for local hue representation, which reveals the contributions of each visual cortical area in hue representation. Local hue encoding is achieved through incrementally increasing processing nonlinearities beginning with cone input. Besides employing nonlinear rectifications, we propose multiplicative modulations as a form of nonlinearity. Our simulation results indicate that multiplicative modulations have significant contributions in encoding of hues along intermediate directions in the MacLeod-Boynton diagram and that model V4 neurons have the capacity to encode unique hues. Additionally, responses of our model neurons resemble those of biological color cells, suggesting that our model provides a novel formulation of the brain’s color processing pathway.

Our proposed hierarchical model for local hue representation.
MLGN, MV1 and single-opponent MV2 neurons cluster around cardinal axes directions while multiplicative MV2 and MV4 cells have mean peaks both close to cardinal and intermediate hue directions. The prefix M represents model neurons.
SfN 2019 PosterDownload

Publication

Mehrani, P., Mouraviev, A., & Tsotsos, J. K. (2019). Multiplicative modulations in hue-selective cells enhance unique hue representation. arXiv preprint arXiv:1907.02116.


Back to homepage

Recent News


  • Publications – 2001
  • Publications – 2002
  • Publications – 2003
  • Publications – 2004
  • Publications – 2005

University Links

  • Centre for Vision Research
  • Department of Electrical Engineering and Computer Science
  • Lassonde School of Engineering
  • York University
  • Centre for Innovation in Computing at Lassonde
  • Tsotsos Lab on Social Media

    Copyright © 2015 Tsotsos Lab

    Theme created by PWT. Powered by WordPress.org