Special issue on Perception, Action and Learning
A hierarchical attention-based neural network architecture, based on human brain guidance, for perception, conceptualisation, action and reasoning
Embodied spatial cognition: Biological and artificial systems
Exploratory learning structures in artificial cognitive systems
Efficient computation of channel-coded feature maps through piecewise polynomials
Anytime learning for the NoSLLiP tracker
A linear-complexity reparameterisation strategy for the hierarchical bootstrapping of capabilities within perception–action architectures
Problem solving through imitation
Simultaneously learning to recognize and control a low-cost robotic arm