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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Related Experiment Video

Updated: Apr 12, 2026

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
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Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

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Shape representations in the primate dorsal visual stream.

Tom Theys1, Maria C Romero2, Johannes van Loon3

  • 1Laboratorium voor Neuro- en Psychofysiologie, Katholieke Universiteit Leuven Leuven, Belgium ; Afdeling Experimentele Neurochirurgie en Neuroanatomie, Katholieke Universiteit Leuven Leuven, Belgium.

Frontiers in Computational Neuroscience
|May 9, 2015
PubMed
Summary
This summary is machine-generated.

The anterior intraparietal area (AIP) and ventral premotor cortex (PMv) process 3D object shape for grasping. Neurons in these areas show visual-motor convergence, with PMv processing shape information with longer latency but greater sensitivity than AIP.

Keywords:
depthdorsal streammacaqueobjectparietal cortexshapevisual cortex

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Area of Science:

  • Neuroscience
  • Primate Vision
  • Computational Neuroscience

Background:

  • The ventral visual stream is traditionally associated with object recognition via shape processing.
  • Recent evidence suggests the dorsal visual stream, crucial for spatial vision and action planning, also processes object shape.
  • The anterior intraparietal area (AIP) is a key dorsal stream area implicated in extracting object affordances for grasping.

Purpose of the Study:

  • To investigate the representation of three-dimensional (3D) shape in areas AIP and F5a of the ventral premotor cortex (PMv).
  • To compare the neural coding of 3D shape between AIP and F5a, considering their interconnectedness and hierarchical relationship.
  • To examine the convergence of visual shape information and motor activity in these grasping-related areas.

Main Methods:

  • Electrophysiological recordings from neurons in area AIP and area F5a in primates.
  • Stimulation with 3D shapes defined by binocular disparity to assess neural selectivity.
  • Measurement of neural response latencies and sensitivity to variations in 3D curvature.
  • Co-localization analysis of 3D-shape selective neurons and neurons with motor-related activity during grasping.

Main Results:

  • Neurons in both AIP and F5a exhibit selective responses to 3D shape defined by binocular disparity.
  • Neural selectivity for 3D shape emerges approximately 10 ms later in F5a compared to AIP, consistent with F5a's higher hierarchical position.
  • F5a neurons demonstrate greater sensitivity to subtle 3D curvature and more reliable detection of 3D structure differences than AIP neurons.
  • 3D-shape selective neurons are found in close proximity to neurons with motor-related activity in both AIP and F5a.

Conclusions:

  • Both AIP and F5a play critical roles in processing 3D object shape information relevant for grasping.
  • The findings challenge the view of AIP solely as an affordance extraction area, highlighting its role in detailed 3D shape representation.
  • The convergence of visual 3D shape selectivity and motor activity in AIP and F5a suggests a tight integration of perception and action for object manipulation.