**3.**
J. Schmidhuber and R. Huber.
Learning to
generate artificial fovea trajectories for target detection.
International Journal of Neural Systems, 2(1 & 2):135-141, 1991
(50 K - figures omitted, but see jpeg scans above!).
PDF .
HTML.

**2.**
J. Schmidhuber and R. Huber.
Using sequential adaptive neuro-control for efficient learning of
rotation and translation invariance.
In T. Kohonen,
K. Mäkisara, O. Simula, and J. Kangas, editors,
*Artificial Neural Networks*, pages 315-320.
Elsevier Science Publishers B.V., North-Holland, 1991.

**1.**
J. Schmidhuber and R. Huber.
Learning to generate focus trajectories for attentive vision.
Technical Report FKI-128-90, Institut für Informatik, Technische
Universität München, 1990.

**More recent work on learning selective attention with reinforcement learning recurrent networks:**
M. Stollenga, J.Masci, F. Gomez, J. Schmidhuber.
Deep Networks with Internal Selective Attention through Feedback Connections.
Preprint arXiv:1407.3068 [cs.CV].
Advances in Neural Information Processing Systems (NIPS), 2014.