A dive into the mind: sensory stimulation and brain signal analysis - Mavi Ruiz-Blondet - MP64

Commercial EEG headset are readily available nowadays. How can we find useful information from the EEG data that they can easily acquire? It all starts with the sensory stimulation that will elicit meaningful brain signals, when done correctly. PyschoPy is a library that greatly helps this purpose. Proper sensory stimulation is the first step, once the EEG data has been acquired, its post processing is what will allow us to predict what the user was thinking. This post processing can also be achieved on Python. At the talk, we will see the entire process, from the proper data acquisition to the data post processing and how to interpret the results in order to have a look into a human's mind.
Mavi has always been interested in the electrical signals from the body. She got her bachelor's on Electronic Engineering from the Pontifical Catholic University of Peru, and after working for a year with medical equipment, went to the US to get a Masters in Biomedical Engineering at the State University of New York at Binghamton. After very fruitful research using brain signals as a biometric for authentication purposes, she continues the research as a PhD student in Cognitive and Brain Sciences.
Montréal-Python 64: Oleophobic Pretzel
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