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mikkellepperod.bsky.social

@mikkellepperod.bsky.social

114 followers 583 following 15 posts

Reposted by @mikkellepperod.bsky.social

Mia-Katrin Kvalsund @mia-katrin.bsky.social · 12/03/2026

What happens when you give a Neural Cellular Automata whiskers? 🐭🤖 In our new paper, we introduce the ANCA: a model where attention emerges through active movement and sensing. Full Paper (open access): doi.org/10.1016/j.ne... #DeepLearning #CellularAutomata #ComputationalNeuroscience #EmbodiedAI

doi.org

Redirecting

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mikkellepperod.bsky.social @mikkellepperod.bsky.social · 14/08/2025

New research in eLife challenges some long-held ideas about place cells and grid cells and suggests a powerful border-to-place cell pathway for navigation. Check it out: doi.org/10.7554/eLif... #Neuroskyence #CompNeuro #AI #PlaceCells #CognitiveMaps

doi.org

Learning place cells and remapping by decoding the cognitive map

Border cells are sufficient to generate place cells and remapping during path integration in artificial neural networks, challenging the role of grid cells for spatial navigation.

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mikkellepperod.bsky.social @mikkellepperod.bsky.social · 31/03/2025

🔬 Excited to share our new paper: "Sensor Movement Drives Emergent Attention and Scalability in Active Neural Cellular Automata" We found that when neural systems can move their sensors (like animals do!), they develop attention-like behaviors without being explicitly programmed to do so. Post 1/6

youtu.be

Presenting the Active Neural Cellular Automata (ANCA)

YouTube video by Mikkel Lepperød

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mikkellepperod.bsky.social @mikkellepperod.bsky.social · 15/10/2024

I recently participated in two podcast episodes by Paul Middlebrooks (Brain Inspired) and Gaute Einevoll (Theoretical Neuroscience). These conversations were recorded aboard the Hurtigruten cruise ship during a workshop on NeuroAI that I had the pleasure of organizing.

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mikkellepperod.bsky.social @mikkellepperod.bsky.social · 14/10/2024

🧠🚀 Exciting new developments in neuroscience! The recent paper "The Fly Connectome Reveals a Path to the Effectome" takes an innovative step forward by combining instrumental variables (IV) with Bayesian priors to efficiently estimate effective connectivity, and how neural circuits drive behavior. 🦟

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