An example method includes obtaining, by processing circuitry, at least one first electrical stimulation parameter of an electrical stimulation program that defines an electrical stimulation therapy deliverable to a patient and determining an electrical characteristic of a stimulation system configured to deliver the electrical stimulation therapy according to the electrical stimulation program. The method further includes determining, based on the electrical characteristic and the at least one first electrical stimulation parameter, a maximum selectable value for a second electrical stimulation parameter of the electrical stimulation program and outputting, for display by a user interface, the maximum selectable value.

An example method includes obtaining, by processing circuitry, at least one first electrical stimulation parameter of an electrical stimulation program that defines an electrical stimulation therapy deliverable to a patient and determining an electrical characteristic of a stimulation system configured to deliver the electrical stimulation therapy according to the electrical stimulation program. The method further includes determining, based on the electrical characteristic and the at least one first electrical stimulation parameter, a maximum selectable value for a second electrical stimulation parameter of the electrical stimulation program and outputting, for display by a user interface, the maximum selectable value.

One aspect of the present disclosure relates to a system that can prevent unintended signal components (noise) in an electric waveform that can be used for at least one of neural stimulation, block, and/or sensing. The system can include a signal generator to generate a waveform that includes an intended electric waveform and unintended noise. The system can also include a signal transformer device (e.g., a very long wire) comprising a first coil and a second coil. The first coil can be coupled to the signal generator to receive the waveform and remove the unintended noise from the electric waveform. The second coil can pass the electric waveform to an electrode. The second coil can be coupled to a capacitor that can prevent the waveform from developing noise at an electrode/electrolyte interface between an electrode and a nerve.

One aspect of the present disclosure relates to a system that can prevent unintended signal components (noise) in an electric waveform that can be used for at least one of neural stimulation, block, and/or sensing. The system can include a signal generator to generate a waveform that includes an intended electric waveform and unintended noise. The system can also include a signal transformer device (e.g., a very long wire) comprising a first coil and a second coil. The first coil can be coupled to the signal generator to receive the waveform and remove the unintended noise from the electric waveform. The second coil can pass the electric waveform to an electrode. The second coil can be coupled to a capacitor that can prevent the waveform from developing noise at an electrode/electrolyte interface between an electrode and a nerve.

Devices, systems, and techniques are described that use electric field imaging (often referred to as the sensed stimulation artifact representative of a delivered stimulus) as an informative feedback signal to provide closed loop control of electrical stimulation therapy. In some examples, the electric field imaging may be used in combination with other feedback signals, such as ECAP do monitor and adjust the delivered electrical stimulation therapy.

Devices, systems, and techniques are described that use electric field imaging (often referred to as the sensed stimulation artifact representative of a delivered stimulus) as an informative feedback signal to provide closed loop control of electrical stimulation therapy. In some examples, the electric field imaging may be used in combination with other feedback signals, such as ECAP do monitor and adjust the delivered electrical stimulation therapy.

An electrical stimulation system includes a stimulation device. The stimulation device may generate electrical stimulation in a stimulation pattern. Sensors may detect evoked potential. The electrical stimulation system may determine whether the evoked potential is a result of the electrical stimulation based at least in part on the stimulation pattern.

An electrical stimulation system includes a stimulation device. The stimulation device may generate electrical stimulation in a stimulation pattern. Sensors may detect evoked potential. The electrical stimulation system may determine whether the evoked potential is a result of the electrical stimulation based at least in part on the stimulation pattern.

Techniques for non-invasively controlling targeted neural activity of a subject are provided herein. The techniques include applying a stimulus input to the subject, the stimulus input being formed by a deep artificial neural network (ANN) model and being configured to elicit targeted neural activity within a brain of the subject. The stimulus input may be a pattern of luminous power generated by the deep ANN model and applied to retinae of the subject. The stimulus input may be generated by the deep ANN model based on a mapping of the subject's neural responses to neurons of the deep ANN model.

Techniques for non-invasively controlling targeted neural activity of a subject are provided herein. The techniques include applying a stimulus input to the subject, the stimulus input being formed by a deep artificial neural network (ANN) model and being configured to elicit targeted neural activity within a brain of the subject. The stimulus input may be a pattern of luminous power generated by the deep ANN model and applied to retinae of the subject. The stimulus input may be generated by the deep ANN model based on a mapping of the subject's neural responses to neurons of the deep ANN model.