Response to: “Questioning the evidence for BCI-based communication in the complete locked-in state” | PLOS Biology
Unraveling somatotopic organization in the human brain using machine learning and adaptive supervoxel-based parcellations - ScienceDirect
Informatiker zweifelt an Ergebnissen des berühmten Tübinger Hirnforschers Birbaumer - Südwest - Badische Zeitung
Warum Informatiker Spüler den Hirnforscher Birbaumer angeht
Prominent German neuroscientist committed misconduct in 'brain-reading' research
Functional synergy recruitment index as a reliable biomarker of motor function and recovery in chronic stroke patients
EEG Responses to Auditory Stimuli for Automatic Affect Recognition
EEG for Human Enhancement and Rehabilitation | Bitbrain
Classification of different reaching movements from the same limb using EEG - IOPscience
Schneider Shorts 8.04.2022 – Flying Claptrap – For Better Science
Mathematics | Free Full-Text | Rule-Based EEG Classifier Utilizing Local Entropy of Time–Frequency Distributions | HTML
Wenn Eminenz wichtiger als Evidenz ist | Aktuelles aus der Goethe-Universität Frankfurt
SubliminalHomeRehab R&D project | Bitbrain
Frontiers | Classification of Movement Intention Using Independent Components of Premovement EEG
Niels Birbaumer – Wikipedia
Vorwürfe gegen Hirnfirscher Niels Birbaumer
DFG sieht Fehler Birbaumers
The Fall of Niels Birbaumer | Discover Magazine
Machtstrukturen - Whistleblowing und Zeitverträge in der Forschung | deutschlandfunk.de
Loop | Martin Spüler
Brain Implant Allows Fully Paralyzed Patient to Communicate - The New York Times
曾被判定学术不端、文章被撤、经费被夺的他，现用一篇Nature子刊自证
Questioning the evidence for BCI-based communication in the complete locked-in state | PLOS Biology
Design and effectiveness evaluation of mirror myoelectric interfaces: a novel method to restore movement in hemiplegic patients | Scientific Reports
The Fall of Niels Birbaumer | Discover Magazine
Research on communication with completely paralyzed patients prompts misconduct investigation | Science | AAAS
Historical perspectives, challenges, and future directions of implantable brain-computer interfaces for sensorimotor applications | Bioelectronic Medicine | Full Text
