A special rotation representation allows for an efficient local optimization on the manifold SO(3).
Figure 2 Rotation representation.
Figure 2 shows the rotation representation in our motion model.
The definition of the rotation vector representation and the operations performed with it are available in Appendix.
Although the algorithm in the original paper [8] was described using the rotation matrix representation, we will detail the steps in rotation vector notation for easy comparison with the proposed algorithm.
These results reveal a novel role for visual cues in achieving a rotation-invariant representation of heading in the macaque ventral intraparietal area.
Results from the 3D cloud experiment demonstrate, for the first time at the neural level, a clear contribution of visual cues in achieving a rotation-tolerant representation of heading.
Thank you for sending your work entitled "Role of visual and non-visual cues in constructing a rotation-invariant representation of heading in parietal cortex" for consideration at eLife.
One difference highlighted by these investigations is that VisNet is normally trained on images generated by objects as they transform in the world, so that view, translation, size, rotation, etc., invariant representations of objects can be learned by the network.
One difference is that VisNet is normally trained on images generated by objects as they transform in the world, so that view, translation, size, rotation, etc., invariant representations of objects can be learned by the network.
