Abstract: Method and device for computer-aided prediction of intended movements from neuronal signals of a brain, wherein the neuronal signals are each associated in the brain with intended movements, wherein neuronal signals are recorded and the most probable movements are determined from these, specifically using a predetermined model in which a recorded neuronal signal and a determined movement are assigned to each other, and, for the probability with which a recorded neuronal signal corresponds to a respective predetermined movement, a predetermined distribution is assumed that is defined by specific characteristic values, wherein an adaptation of the neuronal signal is included in the predetermined model.

Abstract: A BCI apparatus (10) for supporting the rehabilitation of stroke patients (12) with motor impairments is provided, comprising a probe (18) for recording a neuronal activity signal, an evaluation unit (24) for analysis of the activity signal, and an effector (18, 22, 26, 28) which is controlled by the evaluation unit (24) in dependence of a detected motion, wherein a session control unit (24) is configured to output a request to the patient (12) to generate a desired activity pattern, to at the same time record the activity using the probe (18), and to give the patient (12) a feedback via the effector whenever the desired activity pattern is identified by the evaluation unit (24).

Abstract: Method and device for computer-aided prediction of intended movements from neuronal signals of a brain, wherein the neuronal signals are each associated in the brain with intended movements, wherein neuronal signals are recorded and the most probable movements are determined from these, specifically using a predetermined model in which a recorded neuronal signal and a determined movement are assigned to each other, and, for the probability with which a recorded neuronal signal corresponds to a respective predetermined movement, a predetermined distribution is assumed that is defined by specific characteristic values, wherein an adaptation of the neuronal signal is included in the predetermined model.

Abstract: The invention relates to a probe for data transmission between a brain and a data processing device. Said probe has a support with electrodes fitted thereto. Said electrodes can be made to electromagnetically interact with neurons of the brain for the purpose of detecting neuronal activity and/or the transmission of stimuli and can be coupled to the data processing device. The shape of the support can be adapted to an inner surface of the brain to such a degree that it can be inserted into the interior of a sulcus of the brain.