From the 1 of 4 linked papers with an AI index.
4 papers
Grounded world models in biological organisms and future embodied AI
Giovanni Pezzulo, Davide Nuzzi, Marco D'Alessandro +3
The paper compares how biological organisms develop grounded world models through interaction with the environment to current AI systems that rely on passive, language‑driven train…
Gravity Prior and Temporal Horizon Shape Interceptive Behavior under Active Inference
Marta Russo, Antonella Maselli, Federico Maggiore +1
Accurate interception of moving objects, such as catching a ball, requires the nervous system to overcome sensory delays, noise, and environmental dynamics. One key challenge is pr…
Sensory robustness through top-down feedback and neural stochasticity in recurrent vision models
Antonino Greco, Marco D'Alessandro, Karl J. Friston +2
Biological systems leverage top-down feedback for visual processing, yet most artificial vision models succeed in image classification using purely feedforward or recurrent archite…
Predictive Strategies for the Control of Complex Motor Skills: Recent Insights into Individual and Joint Actions
Marta Russo, Antonella Maselli, Dagmar Sternad +1
Humans perform exquisite sensorimotor skills, both individually and in teams, from athletes performing rhythmic gymnastics to everyday tasks like carrying a cup of coffee. The "pre…