🧠 TODAY at #CCN2025 ! Poster A145, 1:30-4:30pm at de Brug & E‑Hall. We've developed a bio-inspired "What-Where" CNN that mimics primate visual pathways - achieving better classification with less computation. Come chat! 🎯

Presented by main author Jean-Nicolas JÉRÉMIE and in cosupervision with Emmanuel Daucé

https://laurentperrinet.github.io/publication/jeremie-25-ccn/

Our research introduces a novel "What-Where" approach to CNN categorization, inspired by the dual pathways of the primate visual system:

• The ventral "What" pathway for object recognition

• The dorsal "Where" pathway for spatial localization

Key innovations:

✅ Bio-inspired selective attention mechanism

✅ Improved classification performance with reduced computational cost

✅ Smart visual sensor that samples only relevant image regions

✅ Likelihood mapping for targeted processing

The results?

Better accuracy while using fewer resources - proving that nature's designs can still teach us valuable lessons about efficient AI.

Come find us this afternoon for great discussions!

#CCN2025 #ComputationalNeuroscience #AI #MachineLearning #BioinspiredAI #ComputerVision #Research