Impact of Time Delay in Perceptual Decision-Making: Neuronal Population Modeling Approach

Autor: Urszula Foryś, Natalia Z. Bielczyk, Katarzyna Piskała, Martyna Płomecka, Jan Poleszczuk

Publikováno v: Complexity, Vol 2017 (2017)

Impairments in decision-making are frequently observed in neurodegenerative diseases, but the mechanisms underlying such pathologies remain elusive. In this work, we study, on the basis of novel time-delayed neuronal population model, if the delay in

Externí odkaz: https://doaj.org/article/8dcf096141ba45f88fa0ce66e1876ce0

Factors Associated With Psychological Disturbances During the COVID-19 Pandemic: Multicountry Online Study

Autor: Martyna Plomecka, Susanna Gobbi, Rachael Neckels, Piotr Radzinski, Beata Skorko, Samuel Lazzeri, Kristina Almazidou, Alisa Dedic, Asja Bakalovic, Lejla Hrustic, Zainab Ashraf, Sarvin Es Haghi, Luis Rodriguez-Pino, Verena Waller, Hafsa Jabeen, A Beyza Alp, Mehdi Behnam, Dana Shibli, Zofia Baranczuk-Turska, Zeeshan Haq, Salah Qureshi, Adriana M Strutt, Ali Jawaid

Publikováno v: JMIR Mental Health, Vol 8, Iss 8, p e28736 (2021)

BackgroundAccumulating evidence suggests that the COVID-19 pandemic has negatively impacted the mental health of individuals. However, the susceptibility of individuals to be impacted by the pandemic is variable, suggesting potential influences of sp

Externí odkaz: https://doaj.org/article/031b6c37bce449a895a99b738c9e2b42

Reading Task Classification Using EEG and Eye-Tracking Data

Autor: Nora Hollenstein, Marius Tröndle, Martyna Plomecka, Samuel Kiegeland, Yilmazcan Özyurt, Jäger, Lena A., Nicolas Langer

Publikováno v: Hollenstein, N, Tröndle, M, Plomecka, M, Kiegeland, S, Özyurt, Y, Jäger, L A & Langer, N 2021, ' Reading task classification using EEG and eye-tracking data ', arXiv preprint arXiv:2112.06310 . < https://arxiv.org/abs/2112.06310 >
University of Copenhagen

The Zurich Cognitive Language Processing Corpus (ZuCo) provides eye-tracking and EEG signals from two reading paradigms, normal reading and task-specific reading. We analyze whether machine learning methods are able to classify these two tasks using

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::549f25173f5bc60f7455340868a06e8d
http://arxiv.org/abs/2112.06310