neural-systems

This paper proposes a unified dynamical framework for training, learning, and inference in neural systems.

This paper investigates the developmental conditions under which a minimal predictive neural system (a 192-dimensional GRU) can distinguish self-caused changes from world-caused changes, identifying four necessary conditions for agency and introducing a metric called agency gain.