Abstract: A system and method for the automatic stimulation of a vagus nerve for post-stroke rehabilitation is disclosed. The system includes an application subsystem having an electrode positioned to stimulate the vagus nerve and coupled to a user outside of a surgical setting. The system also includes a waveform generator communicatively coupled to the electrode, and a triggering subsystem including a receiver configured to detect the presence of a tag. The triggering subsystem is communicatively coupled to waveform generator and is configured to automatically trigger the stimulation of the vagus nerve upon detecting the presence of the tag. The tag is located proximate a rehabilitation context such that the tag is detected when the user is using the rehabilitation context, resulting in the vagus nerve of the user being automatically stimulated by the electrode in response to the user's post-stroke rehabilitation training.

Abstract: A system and method for the automatic stimulation of a vagus nerve for post-stroke rehabilitation is disclosed. The system includes an application subsystem having an electrode positioned to stimulate the vagus nerve and coupled to a user outside of a surgical setting. The system also includes a waveform generator communicatively coupled to the electrode, and a triggering subsystem including a receiver configured to detect the presence of a tag. The triggering subsystem is communicatively coupled to waveform generator and is configured to automatically trigger the stimulation of the vagus nerve upon detecting the presence of the tag. The tag is located proximate a rehabilitation context such that the tag is detected when the user is using the rehabilitation context, resulting in the vagus nerve of the user being automatically stimulated by the electrode in response to the user's post-stroke rehabilitation training.

Abstract: A system and method for the automatic stimulation of a vagus nerve for post-stroke rehabilitation is disclosed. The system includes an application subsystem having an electrode positioned to stimulate the vagus nerve and coupled to a user outside of a surgical setting. The system also includes a waveform generator communicatively coupled to the electrode, and a triggering subsystem including a receiver configured to detect the presence of a tag. The triggering subsystem is communicatively coupled to waveform generator and is configured to automatically trigger the stimulation of the vagus nerve upon detecting the presence of the tag. The tag is located proximate a rehabilitation context such that the tag is detected when the user is using the rehabilitation context, resulting in the vagus nerve of the user being automatically stimulated by the electrode in response to the user's post-stroke rehabilitation training.

Abstract: A device for neural prosthetics is disclosed. The device comprises arrays of micro-wires and a control unit. The control unit connects to and communicates with the micro-wires. The ends of the micro-wires serve as microelectrodes. The microelectrodes are in contact with neural tissue. The micro-wires are covered in sheaths made of conformal material. The ends of the micro-wires protrude beyond the ends of the sheaths. This allows the electrodes to be individually positioned on the neural tissue.

Abstract: A device for neural prosthetics is disclosed. The device comprises arrays of micro-wires and a control unit. The control unit connects to and communicates with the micro-wires. The ends of the micro-wires serve as microelectrodes. The microelectrodes are in contact with neural tissue. The micro-wires are covered in sheaths made of conformal material. The ends of the micro-wires protrude beyond the ends of the sheaths. This allows the electrodes to be individually positioned on the neural tissue.

Abstract: In an embodiment, the invention relates to neural prosthetic devices in which control signals are based on the cognitive activity of the prosthetic user. The control signals may be used to control an array of external devices, such as prosthetics, computer systems, and speech synthesizers. Data obtained from monkeys' movement intentions were recorded, decoded with a computer algorithm, and used to position cursors on a computer screen. Not only the intended goals, but also the value of the reward the animals expected to receive at the end of each trial, were decoded from the recordings. The results indicate that brain activity related to cognitive variables can be a viable source of signals for the control of a cognitive-based neural prosthetic.

Abstract: Certain embodiments of the present invention provide for the detection and monitoring of multiple micro-scale neurological signals indicative of neurological state, neurological activity, and/or neuropathology. By examining such micro-scale neurological signals, a care provider may make more accurate differential diagnoses, identify the most efficacious treatment strategy, and/or track the efficacy of treatment. In some embodiments, analysis of micro-scale electrophysiological signals can be used in the diagnosis, treatment decisions, and monitoring of several neurological disorders, e.g. epilepsy, movement disorders, and psychiatric disorders. In some embodiments, different cortical areas can be mapped, for example, to define boundaries between healthy and/or pathological neural tissue.

Abstract: A device for assessing the effects of diffusible molecules on electrophysiological recordings from multiple neurons allows for the infusion of reagents through a cannula located among an array of microelectrodes. The device can easily be customized to target specific neural structures. It is designed to be chronically implanted so that isolated neural units and local field potentials are recorded over the course of several weeks or months. Multivariate statistical and spectral analysis of electrophysiological signals acquired using this system could quantitatively identify electrical “signatures” of therapeutically useful drugs.

Abstract: In an embodiment, the invention relates to neural prosthetic devices in which control signals are based on the cognitive activity of the prosthetic user. The control signals may be used to control an array of external devices, such as prosthetics, computer systems, and speech synthesizers. Data obtained from monkeys' movement intentions were recorded, decoded with a computer algorithm, and used to position cursors on a computer screen. Not only the intended goals, but also the value of the reward the animals expected to receive at the end of each trial, were decoded from the recordings. The results indicate that brain activity related to cognitive variables can be a viable source of signals for the control of a cognitive-based neural prosthetic.

Abstract: An apparatus for simultaneously measuring electrophysiological signals in a target tissue and for infusing an agent into the target tissue comprises a body, a cannula mounted on the body, and at least one electrophysiological electrode in proximity to the cannula and mounted on the body so that the agent supplied to the cannula is provided to the proximity of the target tissue with which the at least one electrophysiological electrode is electrically coupled. The cannula and electrode are arranged and configured with respect to each in a selected configuration to allow the apparatus to be customized for optimal implantation in specific neurological sites.