<div dir="ltr"><div style="margin:0px;padding:0px;border:0px;font-variant-numeric:inherit;font-variant-east-asian:inherit;font-stretch:inherit;font-size:12pt;line-height:inherit;font-family:Calibri,Helvetica,sans-serif;vertical-align:baseline;color:rgb(0,0,0)">Dear All,</div><div style="margin:0px;padding:0px;border:0px;font-variant-numeric:inherit;font-variant-east-asian:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline"><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline"><br aria-hidden="true"></div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline">Brain-computer interfaces (BCIs) are a highly interdisciplinary research field consisting of researchers from neuroscience, mathematics, computer science, engineering, etc. They contribute to BCIs by developing and proposing new methods, techniques, BCI paradigms, brain signals recording methods, devices, and generating lots of information and data. Although most of the information is regularly available from peer-reviewed platforms and shared over open access data and method repository, it faces an incredible challenge in interpreting, reusing, comparing, and benchmarking. This challenge is growing significantly between computational intelligence and neuroscience research due to the current flow of readily available tools and devices.</div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline"><br aria-hidden="true"></div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline">Most methods, data, techniques, etc., are available openly for the researcher to reuse. However, although openly available, such a multidisciplinary inclusion and their generated information create significant gaps in sharing methods and datasets, comparing results, and reproducing experiments. Such a gap exists because researchers only share domain-specific information that is not easy to interpret by researchers from other disciplines. Consider what would be needed to reproduce a steady-state visually evoked potential (SSVEP)-BCIs, besides sharing data. There is a need for information like the number of unique flickering stimuli presented to the user, the flickering rate, and signal processing specific details such as the impedance of electrodes, type of reference used, applied signal filters, appropriate labels, etc. These details are usually available in related publications but are hard to interpret for non-domain-specific researchers. This special issue aims to attract researchers from the multidisciplinary domain of BCI, particularly focused on computational intelligence and neuroscience, to provide their advances and challenges in solving the problem of bridging such an interdisciplinary research field.</div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline"><br aria-hidden="true"></div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline">In this context, we welcome studies that help find a unique approach to solve the problem of unifying computational intelligence and the neuroscience community for BCI development. Therefore, we are looking for research studies on different techniques in machine learning, novel framework in BCI, unified format for terminologies and representation, automated tool to convert large open-source datasets, case studies of a converted dataset. We welcome original research, review, methods, and perspective articles that cover, but are not limited to, the following topics:</div><div style="font-variant-numeric:inherit;font-variant-east-asian:inherit;font-stretch:inherit;line-height:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline"><ul><li><span style="color:inherit;font-family:inherit;font-size:inherit;font-style:inherit;font-variant-ligatures:inherit;font-variant-caps:inherit;font-weight:inherit">Novel frameworks for BCI data resharing</span></li><li><span style="color:inherit;font-family:inherit;font-size:inherit;font-style:inherit;font-variant-ligatures:inherit;font-variant-caps:inherit;font-weight:inherit">Unified functional models of BCI</span></li><li><span style="color:inherit;font-family:inherit;font-size:inherit;font-style:inherit;font-variant-ligatures:inherit;font-variant-caps:inherit;font-weight:inherit">Automated machine learning tools and pipelines to populate metadata in BCI</span></li><li><span style="color:inherit;font-family:inherit;font-size:inherit;font-style:inherit;font-variant-ligatures:inherit;font-variant-caps:inherit;font-weight:inherit">Methods, techniques, and tools to convert large open BCI dataset into a unified format</span></li><li><span style="color:inherit;font-family:inherit;font-size:inherit;font-style:inherit;font-variant-ligatures:inherit;font-variant-caps:inherit;font-weight:inherit">Benchmarking approaches for BCI</span></li></ul></div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline"><br aria-hidden="true"></div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline">Topic Editor(s):</div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline"><ul><li>  Avinash Kumar Singh, University of Technology Sydney, Sydney, Australia</li><li>  Luigi Bianchi, University of Rome Tor Vergata, Roma, Italy</li><li>  Davide Valeriani, Neurable Inc., Boston, United States</li><li>  Masaki Nakanishi, Institute for Neural Computation, University of California, San Diego, San Diego, United States</li></ul></div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline"><br aria-hidden="true"></div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline">Journal/Specialty: Frontiers in Neuroergonomics - section Neurotechnology and Systems Neuroergonomics</div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline"><br aria-hidden="true"></div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline">Research Topic Title: Advances and Challenges to Bridge Computational Intelligence and Neuroscience for Brain-computer Interface</div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline"><br aria-hidden="true"></div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline">Manuscripts can be submitted directly here: <a href="https://www.frontiersin.org/research-topics/27045">https://www.frontiersin.org/research-topics/27045</a></div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline"><br aria-hidden="true"></div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline">Here are quick links to:</div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline"><ul><li>Author guidelines: <a href="https://www.frontiersin.org/about/author-guidelines">https://www.frontiersin.org/about/author-guidelines</a></li><li>List of article types and publishing fees: <a href="https://www.frontiersin.org/about/publishing-fees">https://www.frontiersin.org/about/publishing-fees</a></li></ul></div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline"><br aria-hidden="true"></div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline">  Kind Regards,</div><div aria-hidden="true" style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline"> </div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline">  Avinash Kumar Singh</div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline">  Topic Editor,</div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline">  Neurotechnology and Systems Neuroergonomics Section, </div><div style="color:inherit;font:inherit;margin:0px;padding:0px;border:0px;vertical-align:baseline">  Frontiers in Neuroergonomics</div></div><div><br></div></div>