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Updated: Jul 5, 2025

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
Published on: August 1, 2018
The neural origin for asymmetric coding of surface color in the primate visual cortex
Yujie Wu1,2, Minghui Zhao3,4, Haoyun Deng3,4
1State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
The visual system shows a bias for red and blue hues, originating in the lateral geniculate nucleus (LGN) and V1. This end-spectral bias is then refined through further visual processing in the brain.
Area of Science:
- Neuroscience
- Visual Perception
- Computational Neuroscience
Background:
- End-spectral hues (red and blue) exhibit coding privilege in primate early visual cortex.
- The precise origin of this visual processing bias remains inadequately understood.
Purpose of the Study:
- To elucidate the origin and progression of end-spectral bias within the primate visual system.
- To investigate the neural mechanisms underlying asymmetric color coding from subcortical to cortical areas.
Main Methods:
- Functional magnetic resonance imaging (fMRI) and single-unit electrophysiological recordings in macaques.
- Analysis of visual processing along the ventral pathway (V1 to V4).
- Dynamic causal modeling (DCM) to assess feedforward and recurrent influences.
Main Results:
- Correlated end-spectral biases between the lateral geniculate nucleus (LGN) and V1 suggest a subcortical origin.
- Red bias against green peaked in V1 and decreased along the ventral stream; blue bias against yellow increased.
- The strongest end-spectral bias in V1 was localized to layer 4C.
- DCM revealed both feedforward and recurrent modifications of this bias.
Conclusions:
- End-spectral bias is present in the LGN and transmitted to V1 primarily via the parvocellular pathway.
- Cortical processing further modulates and embellishes this initial subcortical bias.
- Asymmetric color coding originates subcortically and is shaped by subsequent neural computations.
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