Population decoding of visual motion direction

🧠 Excited to share our latest research led by Alexandre Lainé and presented this summer at AREADNE 2026!

“Population decoding of visual motion direction”

Our work explores how populations of neurons in the primary visual cortex (V1) of marmoset monkeys encode visual motion direction, with a particular focus on understanding how uncertainty influences this neural decoding process. Key highlights:

• Advanced population-level analysis of V1 neural responses to motion stimuli
• Novel insights into how the brain handles uncertainty in visual motion processing
• Marmoset model providing crucial translational insights for visual neuroscience

This research contributes to our fundamental understanding of how the visual system processes motion information at the earliest stages of cortical processing, with important implications for both basic neuroscience and potential clinical applications. Thank you to the AREADNE organizing committee for hosting such an inspiring conference!

#ComputationalNeuroscience #VisualNeuroscience #MotionProcessing #AREADNE2026 #Neuroscience #Research #MarmosetModel #V1 #PopulationDecoding

Link to publication: https://laurentperrinet.github.io/publication/laine-26-areadne/

• For deeper insights into uncertainty processing mechanisms in the visual cortex, see our Nature Communications Biology study:
  Hugo Ladret, Nelson Cortes, Lamyae Ikan, Frédéric Chavane, Christian Casanova, Laurent U Perrinet (2023). Cortical recurrence supports resilience to sensory variance in the primary visual cortex. Nature Communications Biology.

  PDF Cite DOI Dataset Code URL bioRxiv HAL