Towards identifying optimal biased feedback for various user states and traits in motor imagery BCI

Autor: Mladenović, Jelena, Frey, Jeremy, Pramij, Smeety, Mattout, Jeremie, Lotte, Fabien

Objective. Neural self-regulation is necessary for achieving control over brain-computer interfaces (BCIs). This can be an arduous learning process especially for motor imagery BCI. Various training methods were proposed to assist users in accomplish

Externí odkaz: http://arxiv.org/abs/2112.12399

Breeding potential of morphological and phytochemical characteristics of landraces and autochthone varieties of Capsicum annuum L. in Republic of Serbia.

Autor: MLADENOVIĆ, Jelena¹ jelenamala@kg.ac.rs, PAVLOVIĆ, Nenad¹ nenadpavlovic@kg.ac.rs, MARJANOVIĆ, Miloš¹ milosm@kg.ac.rs, TOMIĆ, Dalibor¹ dalibort@kg.ac.rs, GRUBIŠIĆ, Mirko² m.grubisic@itnms.ac.rs, ZORNIĆ, Vladimir G.³ vladimir.zornic@ikbks.com, ZDRAVKOVIĆ, Jasmina³ jasna.zdravkovic@gmail.com

Publikováno v: Notulae Botanicae Horti Agrobotanici Cluj-Napoca. 2024, Vol. 52 Issue 1, p1-15. 15p.

Active Inference for Adaptive BCI: application to the P300 Speller

Autor: Mladenović, Jelena, Frey, Jérémy, Maby, Emmanuel, Joffily, Mateus, Lotte, Fabien, Mattout, Jeremie

Publikováno v: International BCI meeting, May 2018, Asilomar, United States. 2018, http://bcisociety.org/

Adaptive Brain-Computer interfaces (BCIs) have shown to improve performance, however a general and flexible framework to implement adaptive features is still lacking. We appeal to a generic Bayesian approach, called Active Inference (AI), to infer us

Externí odkaz: http://arxiv.org/abs/1805.09109

Di\v{s}imo: Anchoring Our Breath

Autor: Mladenovic, Jelena, Frey, Jérémy, Cauchard, Jessica

Publikováno v: CHI '18 Interactivity - SIGCHI Conference on Human Factors in Computing System, Apr 2018, Montreal, Canada

We present a system that raises awareness about users' inner state. Di\v{s}imo is a multimodal ambient display that provides feedback about one's stress level, which is assessed through heart rate monitoring. Upon detecting a low heart rate variabili

Externí odkaz: http://arxiv.org/abs/1803.00296

A generic framework for adaptive EEG-based BCI training and operation

Autor: Mladenović, Jelena, Mattout, Jérémie, Lotte, Fabien

Publikováno v: Chapter 33: ''A generic framework for adaptive EEG-based BCI training and operation'' , 1, CRC Press: Taylor \& Francis Group, 2017, Brain-Computer Interfaces Handbook: Technological and Theoretical Advances

There are numerous possibilities and motivations for an adaptive BCI, which may not be easy to clarify and organize for a newcomer to the field. To our knowledge, there has not been any work done in classifying the literature on adaptive BCI in a com

Externí odkaz: http://arxiv.org/abs/1707.07935