2 papers
cs.RO2025
Object-Pose Estimation With Neural Population Codes
Heiko Hoffmann, Richard Hoffmann
Robotic assembly tasks require object-pose estimation, particularly for tasks that avoid costly mechanical constraints. Object symmetry complicates the direct mapping of sensory in…
cs.LG2024
Advantages of Neural Population Coding for Deep Learning
Heiko Hoffmann
Scalar variables, e.g., the orientation of a shape in an image, are commonly predicted using a single output neuron in a neural network. In contrast, the mammalian cortex represent…