Description Millions of people live with the consequences of stroke, which often include cognitive impairments. A wide gap exists between on one hand clinical rehabilitation and on the other hand care, monitoring and support of patients at home to maximize independent, socially integrated living. CONTRAST bridges this gap by developing easy-to-use auto-adaptive human-machine interfaces (HCI) which can be used in the sub-acute rehabilitation phase and further at the patients’ home. Training modules for cognitive enhancement will be tailored to the individual patient and remote data processing and support systems will allow for continuous monitoring of health parameters to evaluate individual progress and for shared patient-expert decision. The project experts will develop, test, and upgrade brain-neural-computer interface (BNCI) based neurofeedback tools, based on findings that increasing power in specific EEG frequency bands can improve long-term cognitive performance. CONTRAST targets the cognitive function of interest directly in the brain. Thus, CONTRAST will contribute to new medical and practical knowledge for guiding and improving intervention for daily life functioning after stroke.