Machine Learning for BCI

5:00pm CET, 11:00am EST, 8:00am PST, 12:00am CST Presented by Christian Herff, Maastricht University Recorded brain activity displays complex non-linear dynamics and is highly participant and even session dependent. Furthermore, the signals often display many non-stationarities. To still make sense of these challenging data, specific consideration for the machine learning approach must be made.  In […]

EEG Analysis

1:00am CEST, 7:00pm EST, 4:00pm PST Presented by Jason Palmer, Osaks University Introduction to EEG Analysis for BCI We introduce the theory and practice of analyzing EEG data for BCI applications. We discuss the origin of the EEG signal and recording methods. We also give a brief introduction to analysis methods such as time-frequency analysis […]

Adaptive BCI invasive

6:00pm (CEST)/12:00pm (EST)/9:00am (PST) Presented by Amy Orsborn, University of Washington Design considerations for closed-loop decoder adaptation algorithms in invasive BCIsClosed-loop decoder adaptation (CLDA) is a powerful technique in invasive brain-computer interfaces. CLDA is frequently used to train and optimize decoding algorithms “in situ,” reducing errors in performance that arise due to differences between open […]

Adaptive BCI non-invasive

6:00pm (CEST)/12:00pm (EST)/9:00am (PST) Presented by Serafeim Perdikis, University of Essex Adaptation and learning in non-invasive brain-computer interaction Non-invasive brain-computer interface (BCI) has entered an era of relative technological maturity, where BCI prototypes are increasingly deployed as assistive devices and rehabilitation interventions, or towards able-bodied user applications like entertainment and driving assistance. The main obstacles […]

Next Gen: Industry Academia Talks (free event)

8:00 pm-9:00 pm EST5:00pm (PST), 10:00am+1 (ACT), 8:00am+1 (China Time) To watch the recording please click here Join us for this novel online event mixing Industry and Academia talks.  Our […]