Optimal contour integration: When additive algorithms fail

No abstract is available for this paper.

• Publication year

  2006

• Venue

  Neurocomputing

• Publication date

  2006-06-01

• Fields of study

  Computer Science, Psychology

• Identifiers
  DOI 10.1016/j.neucom.2005.12.095
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Robust integration and detection of noisy contours in a probabilistic neural model

  2005cited by this paper
• Rapid contour integration in macaque monkeys.

  2005cited by this paper
• Uncertainty and Learning

  2003cited by this paper
• Computational Design and Nonlinear Dynamics of a Recurrent Network Model of the Primary Visual Cortex

  2001cited by this paper
• Effects of Attention on Orientation-Tuning Functions of Single Neurons in Macaque Cortical Area V4

  1999cited by this paper
• Mechanisms for spatial integration in visual detection: a model based on lateral interactions.

  1999cited by this paper
• Orientation, Scale, and Discontinuity as Emergent Properties of Illusory Contour Shape

  1998cited by this paper
• Invariant visual responses from attentional gain fields.

  1997cited by this paper
• Algebraic Geometry and Its Applications

  1994cited by this paper
• Algebraic Geometry and its Applications

  1994cited by this paper
• Synaptic integration in an excitable dendritic tree.

  1993cited by this paper
• Neurocomputing

  1990cited by this paper
• Columnar specificity of intrinsic horizontal and corticocortical connections in cat visual cortex

  1989cited by this paper
• Spatial vision.

  1984cited by this paper

• Modulation of orientation-selective neurons by motion: when additive, when multiplicative?

  2014cites this paper
• Optimality of Human Contour Integration

  2012cites this paper
• Mechanisms underlying the representation of angles embedded within contour stimuli in area V2 of macaque monkeys

  2011cites this paper
• Neuronale Kodierung und Dekodierung von multiplen und dynamischen Reizen

  2006cites this paper