🧠 Excited to share our latest research presented at #CNS2025 in beautiful Firenze, Italy!

"Population decoding of visual motion direction in V1 marmoset monkey: effects of uncertainty"

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 CNS organizing committee for hosting such an inspiring conference in the stunning venue of Palazzo dei Congressi in Villa Vittoria! 🇮🇹

#ComputationalNeuroscience #VisualNeuroscience #MotionProcessing #CNS2025 #Neuroscience #Research #MarmosetModel #V1 #PopulationDecoding

Link to publication: https://laurentperrinet.github.io/publication/laine-25-cns/

Want to learn more about uncertainty in the visual cortex? Check out our recent work published in Nature Communications Biology: https://laurentperrinet.github.io/publication//ladret-23

Population decoding of visual motion direction in V1 marmoset monkey : effects of uncertainty | Next-generation neural computations

Next-generation neural computations