🧠🤝A great Mindmatching event today at #CCN2025 @CogCompNeuro with Megan Peters!

✨We helped to connect some of the brightest minds in cognitive computational neuroscience!

Learn more about how it's done here: https://neuromatch.io/networking/

🧠 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

For everyone who can not attend the CCN Conference this year in amsterdam, all keynote lectures can be streamed here:

https://2025.ccneuro.org/keynote-lectures/

Full schedule with livestream links here:
https://2025.ccneuro.org/schedule-of-events/

First off, Nancy Kanwisher at 11.30 am (CET)

Edit: Not only keynotes but also symposia can be live streamed 🙂

#ccn2025 #neuroscience #cognitivescience #computationalneuroscience #CompNeuro

This year at #CCN2025 we will be showcasing our research on the classification of Mental Workload 🥵 Spatial Effects using Riemannian Manifold.

📅 When: Wednesday, August 13, 1:00 – 4:00 pm
📍 Where: CCN 2025 Conference Venue, de Brug & E-Hall
📋 What: Poster B152

• It leverages advanced mathematical techniques to better understand and classify mental workloads, offering new insights into cognitive processes and potential applications in various fields such as neuroscience, psychology, and human-computer interaction.
• By utilizing Riemannian geometry, this research provides a robust framework for analyzing spatial effects in mental workload, paving the way for more accurate and efficient classification methods. This contribution not only advances our theoretical understanding but also has practical implications for improving mental workload assessment and management.

See you there! 🚀

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

👏 CNRS @cnrs - Aix-Marseille University - ONERA, The French Aerospace Lab CNRS

#CCN2025 #Mental #Workload #MentalWorkload #Riemannian #Manifold