#ccn2025 — Public Fediverse posts

Next was a slate of talks at #CCN2025:
Nancy Kanwisher - intuitive physical reasoning in the brain https://www.youtube.com/watch?v=WvUXUm1AMCU
Anna Schapiro - learning representation of specifics and generalities over time https://www.youtube.com/watch?v=w7_7qd_giug (5/9)

Next was a slate of talks at #CCN2025:
Nancy Kanwisher - intuitive physical reasoning in the brain https://www.youtube.com/watch?v=WvUXUm1AMCU
Anna Schapiro - learning representation of specifics and generalities over time https://www.youtube.com/watch?v=w7_7qd_giug (5/9)

I posted about Ellie Pavlick’s excellent talk on compositionality in #LLMs at #cogsci25 last week. I just saw that she is also giving this keynote #ccn2025 and anyone can watch it here:

I recommend it!

https://hva-uva.cloud.panopto.eu/Panopto/Pages/Embed.aspx?id=b26bd214-6afd-413e-898d-b2dc00787139

I posted about Ellie Pavlick’s excellent talk on compositionality in #LLMs at #cogsci25 last week. I just saw that she is also giving this keynote #ccn2025 and anyone can watch it here:

I recommend it!

https://hva-uva.cloud.panopto.eu/Panopto/Pages/Embed.aspx?id=b26bd214-6afd-413e-898d-b2dc00787139

Thanks to all the cool and interesting people dropping by my poster at #CCN2025 🫶 If you are at the conference as well and feel like meeting up in person to chat about the computational side of predictive processing and predictive coding networks, feel free to drop a DM. :)

🧠🤝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/

🧠🤝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

🧠 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

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

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