Abstract: A system for performing spinal cord stimulation on a subject is disclosed. The system comprises one or more recording arrays, at least one stimulation array, and a processor. The recording arrays, which may be minimally invasively inserted to a target recording site of the brain, include recording electrodes having a diameter of less than about 1 mm and having a spacing of less than about 1 mm therebetween. The stimulation array, which may be minimally invasively inserted to a target stimulation site within the nervous tissue, includes stimulation electrodes. The processor is configured to receive more recorded signals from the recording arrays at the target recording site, determine an electrophysiological state of the brain based on the recorded signals, and deliver electrical stimulation to the target stimulation site through the stimulation array based on the determined electrophysiological state in order to affect the electrophysiological state.

Abstract: A systems and methods for calibrating a neural device using transfer learning techniques. The methods can include aggregating calibration data across a user population to define a global dataset, identifying similar data segments across the global dataset to define a task-independent training dataset, training a feature extraction model based on the task-independent training dataset to define a trained, task-independent feature extraction model, receiving the calibration data from a user calibrating the neural device, and calibrating a user-specific feature extraction model using the trained, task-independent feature extraction model and the calibration data.

Abstract: A system for performing deep brain stimulation on a brain of a patient is disclosed. The system comprises one or more recording arrays, at least one stimulation array, and a processor. The recording arrays, which may be minimally invasively inserted to a target recording site of the brain, include recording electrodes having a diameter of less than about 1 mm and having a spacing of less than about 1 mm therebetween. The stimulation array, which may be inserted to a target stimulation site within the deep brain, includes at least one stimulation electrode. The processor is configured to receive one or more recorded signals from the recording arrays at the target recording site, determine a neurological state of the brain based on the recorded signals, and deliver electrical stimulation to the target stimulation site through the stimulation array based on the neurological state in order to electrically stimulate the brain.

Abstract: Disclosed herein are systems and methods for neural interfaces. Neural interfaces may form minimally invasive and high-scalable bidirectional brain-computer interfaces, which may be used in the treatment of a variety of disorders of the brain and nervous system. Disclosed are methods for a minimally invasive technique for implanting neural interfaces, a neural interface configured to be placed between the brain and the dura and configured to record from and/or stimulate the cortical surface. Also disclosed are methods for attaching a plurality of microelectrode arrays to form a neural interface device, and fabricating neural interfaces including microelectrode arrays and pockets to facilitate their insertion. The disclosed systems and methods also include neural decoding techniques.

Abstract: Disclosed herein are systems and methods for neural interfaces. Neural interfaces may form minimally invasive and high-scalable bidirectional brain-computer interfaces, which may be used in the treatment of a variety of disorders of the brain and nervous system. Disclosed are methods for a minimally invasive technique for implanting neural interfaces, a neural interface configured to be placed between the brain and the dura and configured to record from and/or stimulate the cortical surface. Also disclosed are methods for attaching a plurality of microelectrode arrays to form a neural interface device, and fabricating neural interfaces including microelectrode arrays and pockets to facilitate their insertion. The disclosed systems and methods also include neural decoding techniques.

Abstract: A method for preparing food having at least a solid food component. The method comprises, during a high-temperature, short-time stage (“HTST stage”), cooking a surface of the solid food component at a temperature (“HTST temperature”) of greater than 140° C. The method further comprises, during a low-temperature, long-time stage (“LTLT stage”), cooking the solid food component at a temperature (“LTLT temperature”) of between 40 and 100° C. The method also comprises placing the food into packaging to form a sterile food package containing the food.

Abstract: A method for preparing food having at least a solid food component. The method comprises, during a high-temperature, short-time stage (“HTST stage”), cooking a surface of the solid food component at a temperature (“HTST temperature”) of greater than 140° C. The method further comprises placing the food into packaging to form a sterile food package containing the food. The method also comprises, during a low-temperature, long-time stage (“LTLT stage”), cooking the sterile food package at a temperature (“LTLT temperature”) of between 40 and 100° C.

Abstract: A method and apparatus for protecting faults in an optical network. Protection is based on 1:n protection at an Optical Line Terminator (“OLT”). Each working interface module in the OLT is coupled via a fiber to a 2:N splitter which provides communication with N Optical Network Units (“ONU”). A protection interface module is coupled via a fiber to a 1:n switch whose output is coupled to each of the 2:N splitters. In the event of a fiber break, protection switching is performed by forming a backup link to the 2:N splitter associated with the failed fiber through the protection interface module. The 1:n protection arrangement may be replicated and extended to a g*(1:n) protection arrangement. A uni-ranging process speeds up protection switching by ranging only one ONU associated with a failed fiber, rather than all ONUs associated with a failed fiber.