Abstract: A machine learning architecture employs two machine learning networks that are joined by a statistical model allowing the imposition of a predetermined statistical model family into a learning process in which the networks translate between and data types. For example, the statistical model may enforce a Gaussian conditional probability between the latent variables in the translation process. In one application, MRI images may be translated into PET images with reduced mode collapse, blurring, or other “averaging” type behaviors.

Abstract: A machine learning architecture employs two machine learning networks that are joined by a statistical model allowing the imposition of a predetermined statistical model family into a learning process in which the networks translate between and data types. For example, the statistical model may enforce a Gaussian conditional probability between the latent variables in the translation process. In one application, MRI images may be translated into PET images with reduced mode collapse, blurring, or other “averaging” type behaviors.

Abstract: A closed loop, neural activity triggered rehabilitation device and method are provided for facilitating recovery of a patient from the effects of a sensory motor disability. The device includes a sensor system positionable adjacent the brain of the patient. The sensor system detects neural signals. A functional stimulation component is operatively connectable to at least one body part, such as a muscle or a nerve. The functional stimulation component stimulates the at least one body part in response to the neural signals detected. A sensory stimulation module is operatively connected to the patient to provide sensory feedback thereto.

Abstract: A closed loop, neural activity triggered rehabilitation device and method are provided for facilitating recovery of a patient from the effects of a sensory motor disability. The device includes a sensor system positionable adjacent the brain of the patient. The sensor system detects neural signals. A functional stimulation component is operatively connectable to at least one body part, such as a muscle or a nerve. The functional stimulation component stimulates the at least one body part in response to the neural signals detected. A sensory stimulation module is operatively connected to the patient to provide sensory feedback thereto.

Abstract: A closed loop, neural activity triggered rehabilitation device and method are provided for facilitating recovery of a patient from the effects of a sensory motor disability. The device includes a sensor system positionable adjacent the brain of the patient. The sensor system detects neural signals. A functional stimulation component is operatively connectable to at least one body part, such as a muscle or a nerve. The functional stimulation component stimulates the at least one body part in response to the neural signals detected. A sensory stimulation module is operatively connected to the patient to provide sensory feedback thereto.