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Neural populations within macaque early vestibular pathways are adapted to encode natural self-motion
Mohammad Mohammadi1, Jerome Carriot2, Isabelle Mackrous2
1Department of Biological and Biomedical Engineering, McGill University, Montreal, Canada.
Plos Biology
|April 30, 2024
Summary
Neural populations in the brain integrate self-motion signals. Natural self-motion stimuli enhance information transmission through positive noise correlations in vestibular pathways.
Area of Science:
- Systems neuroscience
- Computational neuroscience
- Neurophysiology
Background:
- Understanding neural population integration is key to perception and behavior.
- The role of early vestibular pathways in processing self-motion is not fully understood.
Purpose of the Study:
- Investigate population coding of naturalistic self-motion in early vestibular pathways.
- Examine neural heterogeneity and response correlations during natural vs. artificial stimulation.
Main Methods:
- Recording neural activity from vestibular neurons in rhesus macaques.
- Analyzing spike trains for dynamic tuning and response variability.
- Computational modeling to assess information transmission.
Main Results:
- Vestibular neurons showed similar dynamic tuning but significant heterogeneity in spike trains.
- Heterogeneity stemmed from across-neuron variability during natural stimulation.
- Positive noise correlations were observed during naturalistic but not artificial self-motion.
Conclusions:
- Early vestibular pathways adapt to natural self-motion statistics at the population level.
- Positive noise correlations enhance information transmission in heterogeneous neural populations.
- Findings suggest similar adaptations in other neural systems and species.
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