3 papers
q-bio.NC2023
Transitive inference as probabilistic preference learning
Francesco Mannella, Giovanni Pezzulo
Transitive Inference (TI) is a cognitive task that assesses an organism's ability to infer novel relations between items based on previously acquired knowledge. TI is known for exh…
q-bio.NC2023
Neural representation in active inference: using generative models to interact with -- and understand -- the lived world
Giovanni Pezzulo, Leo D'Amato, Francesco Mannella +4
This paper considers neural representation through the lens of active inference, a normative framework for understanding brain function. It delves into how living organisms employ…
q-bio.NC2023
Modeling motor control in continuous-time Active Inference: a survey
Matteo Priorelli, Federico Maggiore, Antonella Maselli +5
The way the brain selects and controls actions is still widely debated. Mainstream approaches based on Optimal Control focus on stimulus-response mappings that optimize cost functi…