Tutorial: Fuzzy Systems for Neuroscience and Neuro-Engineering

This tutorial will be an introduction to new researchers to the field of Neuroscience and Neuro-engineering from a fuzzy perspective. Attendees are not required prior knowledge on fuzzy systems or neuroscience to attend this tutorial. We will focus on brain research/decoding methods that use non-invasive modalities of neuroimaging. We will present the latest and most outstanding works that have applied Fuzzy Systems in brain signals to date. Given the important challenges associated with the processing of brain signals obtained from neuroimaging modalities, fuzzy sets and systems have been proposed as a useful and effective framework for the analysis of brain activity as well as to enable a direct communication pathway between the brain and external devices (brain computer/machine interfaces). While there has been increasing interest in these questions, the contribution of fuzzy logic sets, and systems has been diverse depending on the area of application in neuroscience. With regard to the decoding of brain activity, fuzzy sets and systems represent an excellent tool to overcome the challenge of processing extremely high signals that are most likely to be affected by high uncertainty. In this tutorial we will also provide an introduction about the foundations of fuzzy sets, logic and systems for the analysis of brain signals and neuroimaging data, including related disciplines such as computational neuroscience, brain computer/machine interfaces, neuroscience, neuroengineering, neuroinformatics, neuroergonomics, affective neuroscience and neurotechnology. After the tutorial, we will conduct an interactive survey and a panel discussion among the attendees.