Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario

By Francisco Cruz, German Ignacio Parisi, Johannes Twiefel, Stefan Wermter. 2016

38 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Control and Systems Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. German Ignacio Parisi
2. Stefan Wermter
3. Pablo V. A. Barros
4. Xun Liu
5. Sven Magg

In Computer Vision and Pattern Recognition

1. German Ignacio Parisi
2. Stefan Wermter
3. Pablo V. A. Barros
4. Sven Magg
5. Luiza Mici
6. Cornelius Weber
7. Jun Tani
8. Vincenzo Lomonaco

In Control and Systems Engineering

1. German Ignacio Parisi
2. Stefan Wermter
3. Sven Magg

Citations in the corpus

• A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments * (2018, background): “info Multisensory conflicts result from sensory uncertainty and variable reliability under noisy environmental conditions [5].”
• A computational model of crossmodal processing for conflict resolution (2017, background): “Artificial systems embedded with multimodal processing capabilities may result in a more robust perceptual experience [12], especially in the case of sensory uncertainty [13].”