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Ana Matran-Fernandez got her PhD in collaborative brain-computer interfaces from the University of Essex in 2017. She worked as a postdoctoral researcher for the H2020 DeTOP project developing algorithms to control a robotic hand worn by amputees. Her current research focuses on the study of brain processes using organic audiovisual stimuli, machine learning, and neural signals. She led the Essex BCI team in the 2016 Cybathlon competition in which they won the Bronze medal. She’s an advocate for women in science and in 2019 she was shortlisted for the Computing Award from WISE.

Talk Title:: Brain-Computer interface - an introduction with examples


Brain-computer interfaces (BCIs) are systems that interpret signals from a person’s brain and process them to control an external device. The first BCIs were developed to help those with severe disabilities regain their communication abilities, but over the last 20 years, the state of the art and the applications of these systems have evolved greatly. In this talk, I will discuss the main types of BCI, looking at the different types of systems that exist currently and giving examples from my own research for each of them.

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