Abstract: A neuromodulation system is disclosed that comprises a neuromodulation device and a stimulation control computing environment. The disclosed device can include at least one ultrasound-emitting element. The stimulation control computing environment can be configured with data processing functions to focus ultrasound emission to a target brain region. The system can identify an initial position of the one or more ultrasound-emitting elements with respect to a temporal window of a user, use brain image to identify the target brain region, and perform first acoustic simulations to determine information for use in focusing ultrasound emissions from the initial position to the target brain region. The system can detect a shift of the one or more ultrasound-emitting elements with respect to the temporal window to a secondary position and perform second acoustic simulations to determine information for use in focusing ultrasound emissions from the secondary position to the target brain region.

Abstract: A neuromodulation system is disclosed that comprises a neuromodulation device and a stimulation control computing environment. The disclosed device can include at least one ultrasound-emitting element. The stimulation control computing environment can be configured with data processing functions to focus ultrasound emission to a target brain region. The system can identify an initial position of the one or more ultrasound-emitting elements with respect to a temporal window of a user, use brain image to identify the target brain region, and perform first acoustic simulations to determine information for use in focusing ultrasound emissions from the initial position to the target brain region. The system can detect a shift of the one or more ultrasound-emitting elements with respect to the temporal window to a secondary position and perform second acoustic simulations to determine information for use in focusing ultrasound emissions from the secondary position to the target brain region.

Abstract: Methods, systems, and devices, including computer programs encoded on a computer storage medium are provided for optimizing neuro stimulation therapy for treatment of neurological and neurodegenerative diseases. In particular, an algorithm is used to provide a predicted regional pathological density map of neuropathology and predict locations of future spreading. Neurostimulation therapy parameters including the location, strength, and frequency of neuro stimulation can be adjusted accordingly to treat neuropathology and reduce aggregation and spreading.

Abstract: A neuromodulation system is disclosed that comprises a neuromodulation device and a stimulation control computing environment. The disclosed device can include at least one ultrasound-emitting element. The stimulation control computing environment can be configured with data processing functions to focus ultrasound emission to a target brain region. The system can identify an initial position of the one or more ultrasound-emitting elements with respect to a temporal window of a user, use brain image to identify the target brain region, and perform first acoustic simulations to determine information for use in focusing ultrasound emissions from the initial position to the target brain region. The system can detect a shift of the one or more ultrasound-emitting elements with respect to the temporal window to a secondary position and perform second acoustic simulations to determine information for use in focusing ultrasound emissions from the secondary position to the target brain region.

Abstract: Systems and techniques for personalized assessment and/or learning are provided. The system may select tasks and task content for a user consistent with an administrator's suggested learning regimen for the user, while also adapting the selection of tasks and task content based on the user's performance and/or context when the user is not being supervised by an administrator.

Abstract: Systems and techniques for personalized assessment and/or learning are provided. The system may select tasks and task content for a user consistent with an administrator's suggested learning regimen for the user, while also adapting the selection of tasks and task content based on the user's performance and/or context when the user is not being supervised by an administrator.

Abstract: Systems and techniques for personalized assessment and/or learning are provided. The system may select tasks and task content for a user consistent with an administrator's suggested learning regimen for the user, while also adapting the selection of tasks and task content based on the user's performance and/or context when the user is not being supervised by an administrator.

Abstract: Systems and techniques for personalized assessment and/or learning are provided. The system may select tasks and task content for a user consistent with an administrator's suggested learning regimen for the user, while also adapting the selection of tasks and task content based on the user's performance and/or context when the user is not being supervised by an administrator.

Abstract: Systems and techniques for personalized assessment and/or learning are provided. The system may select tasks and task content for a user consistent with an administrator's suggested learning regimen for the user, while also adapting the selection of tasks and task content based on the user's performance and/or context when the user is not being supervised by an administrator.

Abstract: Systems and techniques for personalized assessment and/or learning are provided. The system may select tasks and task content for a user consistent with an administrator's suggested learning regimen for the user, while also adapting the selection of tasks and task content based on the user's performance and/or context when the user is not being supervised by an administrator.