TTK TEAM

Lucia Wittner received her MSc degree in biology at Eötvös Loránd University, Budapest, Hungary in 1999. She obtained her PhD in neuroscience in 2004 at Semmelweis University Doctoral School, Budapest, Hungary. Currently, she is working in the Institute of Cognitive Neuroscience and Psychology in the Research Center for Natural Sciences, Budapest. Her research interests include synchrony generation in the neocortex and the hippocampus, human epilepsy research and the validation of neural probes.

István Ulbert graduated as an electrical engineer from the Budapest University of Technology, then obtained the MD degree from Semmelweis University. He obtained the PhD degree in Neurosciences from the Semmelweis University Doctoral School, followed by the completion of the DSc degree in Biology at the Hungarian Academy of Sciences. He is currently the chairman of the Neurobiology Scientific Committee of the Hungarian Academy of Sciences, manages the bionics pillar of the National Brain Research Programme in its Governing Board. He was also the scientific leader of the National Bionics Programme, and the member of the Roska Tamás Multidisciplinary Doctoral School of Engineering and Natural Sciences, and topic leader at the Szentágothai János Neuroscience Doctoral School. István Ulbert is the director and group leader of the Institute of Cognitive Neuroscience and Psychology, full professor at Pázmány Péter Catholic University. Under his leadership, the research group is engaged in various research topics focusing on developing and testing MEMS-based high-density neural sensors, investigating neural oscillations in animal and human brain tissue, and developing EEG-based brain-computer interface applications for human use. In the context of international research projects, he is playing a major role in the development of multielectrodes with more than a thousand measuring points, which offer new possibilities for the electrophysiological exploration of brain neuronal networks.

Richárd Fiáth received his MSc degree in electrical and computer engineering from the Faculty of Information Technology, Pázmány Péter Catholic University, Budapest, Hungary in 2009, and his PhD degree in neurosciences from the Semmelweis University, Budapest, in 2017. He is currently a postdoctoral researcher in the Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest. His main research interests include implantable neural interfaces, neurostimulation, thalamocortical oscillations and the physiology of sleep. He has a high level of expertise in high-density extracellular electrophysiological techniques, calcium imaging, optogenetics and methods used to analyze brain electrical activity (e.g., spike sorting).

Csaba Köllőd received his MSc degree in biology at the University of Szeged, Hungary in 2019. He is currently a Ph.D. student at the János Szentágothai Doctoral School of Neurosciences, Semmelweis University, Budapest, Hungary, in the Functional Neurosciences program and he is a young research fellow at the Institute of Cognitive Neuroscience and Psychology in the Research Center for Natural Sciences. His recent research focuses on the spatio-temporal patterns of slow oscillations in rodents thalamus that occur during sleep and anesthesia.

Melinda Rácz obtained her BSc and MSc degrees in electrical engineering at the Budapest University of Technology and Economics in 2016 and 2020, respectively. She is recently a third-year PhD student at the János Szentágothai Doctoral School of Neurosciences of the Semmelweis University and is a member of the Selye János Doctoral College for Advanced Studies. She has been working for the Integrative Neuroscience Group at the Institute of Cognitive Neuroscience and Psychology in the Research Centre for Natural Sciences since 2018. Her main research activity involves the development of bio-signal processing algorithms using machine learning methods for brain–computer and human–machine interfaces, yielding 2 first author/first co-author research papers until the present time.