From the 1 of 3 linked papers with an AI index.
3 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…
GENESIS: A Generative Model of Episodic-Semantic Interaction
Marco D'Alessandro, Leo D'Amato, Mikel Elkano +2
A central challenge in cognitive neuroscience is to explain how semantic and episodic memory, two major forms of declarative memory, typically associated with cortical and hippocam…
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…