Abstract: A device and system for real-time visualization of the electrophysiologic activity of a brain, particularly at the cortical surface. The neural device can acquire, process, and display high-spatiotemporal-resolution electrophysiologic data in real-time across entire electrode arrays spanning many thousands of electrodes over identified anatomic regions. The system is compatible with thin-film cortical surface electrodes that record from neural tissues without damaging those tissues. The system can be used to guide diagnostic and therapeutic actions with high precision, and also provides the basis for a brain-computer interface.

Abstract: A system and methods for protecting the health of a user and the user's physiological data from unauthorized access by a third party during the operation of a neural implant is described. Based on a detected change in the internal state of the neural implant, or the detection of unauthorized access, an emergency system configuration change can be performed. One such emergency system configuration involves deactivating the implant to protect the user. The method can be for controlling a neural device in an implanted system. The method can include monitoring, by a monitoring device, the neural device; detecting, by the monitoring device, a condition associated with the neural device; and based on the condition detected by the monitoring device, deactivating the neural device.

Abstract: Sulfur species may be processed using an ionic liquid, a deep eutectic solvent, or a combination of both. An example of a method of such processing may include: supplying a first reaction medium including an iodine species and a first catalyst, wherein the first catalyst includes a first deep eutectic solvent, a first ionic liquid, or a first mixture of both; contacting the reaction medium with a first sulfur species, wherein the first sulfur species includes hydrogen sulfide, a sulfur-containing hydrocarbon, or any combination thereof; and reacting the first sulfur species with the reaction medium to produce a second sulfur species, hydrogen iodide, or a combination thereof.

Abstract: A system for detecting a neurological state of a brain of a patient is disclosed. The system comprises one or more recording arrays, a database, and a processor. The recording arrays comprise a plurality of recording electrodes having a diameter of less than about 1 mm and spaced by less than about 1 mm, and are configured to be minimally invasively inserted to the brain to record electrical signals from a target recording site. The database stores electrophysiological data relating to known electrophysiological signatures associated with neurological states. The processor is configured to receive recorded signals from the recording arrays, access the electrophysiological data from the database, identify electrophysiological signatures in the recorded signals based on the electrophysiological data, and determine the neurological state of the brain based on the identified electrophysiological signatures.

Abstract: A system for compressing neural signal data using spatiotemporal data compression techniques. The system includes an implantable neural that receives electrophysiologic signal data from the electrode array, maps the electrophysiologic signal data to locations of each of the plurality of the electrodes, and compresses the mapped electrophysiologic signal data based on the locations of the plurality of electrodes utilizing a spatiotemporal data compression algorithm to define compressed electrophysiologic signal data. The implantable neural device can be connectable to a computer system that decompressed the electrophysiologic data for various downstream applications.

Abstract: A neural device system that can include a neural device configured to sense data associated with the subject or receive control input, an external device communicably coupled to the neural device, a storage medium communicable coupled to the external device, and one or more communications interfaces between the neural device, the external device, and the storage medium or components thereof, wherein the one or more communications interfaces comprise an encryption protocol.

Abstract: A medical device system that can include a medical device configured to sense data associated with the subject or receive control input, an external device communicably coupled to the medical device, a storage medium communicably coupled to the external device, and one or more communications interfaces between the medical device, the external device, and the storage medium or components thereof, wherein the one or more communications interfaces comprise an encryption protocol.

Abstract: A neural device system that can include a neural device configured to sense data associated with the subject or receive control input, an external device communicably coupled to the neural device, a storage medium communicable coupled to the external device, and one or more communications interfaces between the neural device, the external device, and the storage medium or components thereof, wherein the one or more communications interfaces comprise an encryption protocol.

Abstract: A medical device system that can include a medical device configured to sense data associated with the subject or receive control input, an external device communicably coupled to the medical device, a storage medium communicably coupled to the external device, and one or more communications interfaces between the medical device, the external device, and the storage medium or components thereof, wherein the one or more communications interfaces comprise an encryption protocol.

Abstract: Disclosed are systems and methods for circuit- and system-level techniques and approaches for data encryption in scalable, high-bandwidth, bidirectional neural interfaces. In some embodiments, the disclosed systems and methods may be configured to encrypt neural data as close as possible to the data source, and before the data is transmitted out of the body. In some embodiments, the disclosed systems and methods may utilize hardware-based approaches, including those involving modified analog-to-digital converters, and symmetric cryptographic algorithms.