3 papers
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…
cs.RO2023★ 6 cited
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges
Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki +8
Creating autonomous robots that can actively explore the environment, acquire knowledge and learn skills continuously is the ultimate achievement envisioned in cognitive and develo…
q-bio.NC2021
Skilled motor control implies a low entropy of states but a high entropy of actions
Nicola Catenacci Volpi, Martin Greaves, Dari Trendafilov +3
The mastery of skills such as playing tennis or balancing an inverted pendulum implies a very accurate control of movements to achieve the task goals. Traditional accounts of skill…