The ASTON GAN is a research group focused on the research of applied neuroscience, as well as to the development of innovative application based on neuroscientific findings.
Advanced mathematical tools are used to model the formed brain networks so in normal as in pathological cases
Automatic emotion recognition using biosignals, and it's application in the wider context of HCI and e-Learning
Investigating the impact of mathematical anxiety so in working memory as in mental calculation.
Automatic personality recognition using features extracted by EEG signals, and it's application in the wider context of HCI and e-Learning
Working towards the automatic localisation of the Seizure Onset Zone using non-invasive brain imaging modalities.
Developing and assessing novel neurofeedback protocols, as well as developing home-based neurofeedback using cheap commercial devices
Study of emotions so from a neuroscientific perspective as how their understanding can be applied for clinical purposes.
Developing novel BCI application, as well as improving the accuracy and time of the existing ones.