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Robust Artificial Intelligence for Neurorobotics

Robust Artificial Intelligence for Neurorobotics

Bayes Centre (5th floor) and School of Informatics, University of Edinburgh (26 – 28 August 2019)

Contributed talks

Contributed talk 1:

Raphaela Kreiser, Alpha Renner and Yulia Sandamirskaya

Error-driven learning for self-calibration in a neuromorphic path integration system


Contributed talk 2:

Melanie Jouaiti and Patrick Henaff. Slides

Real time movement classification in versatile CPG control


Contributed talk 3:

Ioannis Pisokas and Barbara Webb

Reverse engineering of the insect heading encoding circuit


Contributed talk 4:

Simón C. Smith, Richard Dharmadi, Bailu Si and J. Michael Herrmann

Deep recurrent neural networks for self-organising robot control


Contributed talk 5:

Nicoletta Risi, Alessandro Aimar, Elisa Donati, Sergio Solinas and Giacomo Indiveri

A Spike-Based Neuromorphic Stereo Architecture for Active Vision


Contributed talk 6:

Heather Riley and Mohan Sridharan. Slides

Non-monotonic logical reasoning to guide deep learning for explainable visual question answering


Contributed talk 7:

Simon D. Levy. Slides

Robustness through simplicity: A minimalist gateway to neurorobotic flight


Contributed talk 8:

Serge Thill and Maria Riveiro

Memento hominibus: on the fundamental role of end users in real-world interactions with neuromorphic systems


Contributed talk 9:

Anand Subramoney, Franz Scherr and Wolfgang Maass

Learning to learn motor prediction by networks of spiking neurons (paper withheld)


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