Closed-Loop Multisensory Brain-Computer Interface for Enhanced Decision Accuracy

Lead Research Organisation: University College London
Department Name: Gatsby Computational Neuroscience Unit

Abstract

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Description We have been both analyzing data and and developing theories relevant to multi-sensory integration. First, the data analysis. To perform optimal multi-sensory integration, the brain must have some notion of uncertainty -- that allows it to give more weight to more certain cues. We have spent the last year looking for signatures of uncertainty in data supplied by Anne Churchland's lab. On the theoretical front, we have been investigating how networks of neurons could perform the click task. We believe this is especially relevant, as the click task has a feature common to high level information processing: all the information is available, but subjects don't perform this task perfectly. Our goal is to understand why.
Exploitation Route Although our work has been mostly theoretical, with additional effort theory can be brought into practice and meta-learning can have broad applications.
We indeed started to explore in collaboration with Essex some of these applications, in the context of the project.
We also aim to develop opensource software implementation of our algorithms.
Sectors Other