This invention, which focuses on personality and aptitude matching by psychophysiologic response to stimuli, is referred to as Brain Matching. In general terms, this invention starts by selecting highly specialized skill sets and top performer group for each skill set. The various groups are analyzed though psychophysiologic stimuli testing by using basically the same testing consisting of large numbers stimuli tests in a consistent testing environment. Stimuli tests can range from hundreds to thousands of images each producing a brainwave response. Neural Networks, Artificial Intelligence, Deep Learning computers look at the test results, highly specialized group by other highly specialized group to reduce the groups signature/response commonality into a template. Test subjects are then tested using the same stimuli. The subject's test results are analyzed for correlation with the various specialized expert groups.

Methods and systems are provided for triggering electrical stimulation of a spinal cord during execution of a motor event. In one example, a method comprises monitoring motor cortex activity while execution of a desired motor movement is attempted during a first mode where one or more nerve fibers are not stimulated, and during a second mode where the one or more nerve fibers are stimulated. Delivery timing of electrical stimulation may be closed-loop controlled based on current motor cortex activity and the motor cortex activity recorded previously during both the first and second modes.

A system and method may be provided for associating bio-signal data (e.g. EEG brain scan data) from at least one user with at least one music data item (e.g. song, or piece of music). By associating bio-signal data, or emotions determined therefrom, with music, the system may establish a data store of music associated with emotions. That database may then be leveraged upon determining that a user is feeling a particular emotion through an EEG scan. When a particular emotion is detected in EEG data of a user, the system may then respond based at least partly on the same or similar emotion being associated with one or more music data items in the system. For example, the system may recommend a particular song associated with the same emotion presently being experienced by the user.

A system for evaluating neurologic dysfunction of a subject includes an odorant generator configured to deliver an odorant stimulation to the subject, an auditory generator configured to deliver an audible stimulation to the subject, a vibrotactile stimulator configured to generate a somatosensory stimulation to the subject, a plurality of electrodes configured to be attached to the subject at respective different locations, and at least one processor. The plurality of electrodes are configured to collect neural signals from the subject as a result of the odorant stimulation, the audible stimulation, and the somatosensory stimulation. The at least one processor is configured to process the neural signals from the plurality of electrodes and generate an assessment of neurologic dysfunction of the subject.

A system for evaluating neurologic dysfunction of a subject includes an odorant generator configured to deliver an odorant stimulation to the subject, an auditory generator configured to deliver an audible stimulation to the subject, a vibrotactile stimulator configured to generate a somatosensory stimulation to the subject, a plurality of electrodes configured to be attached to the subject at respective different locations, and at least one processor. The plurality of electrodes are configured to collect neural signals from the subject as a result of the odorant stimulation, the audible stimulation, and the somatosensory stimulation. The at least one processor is configured to process the neural signals from the plurality of electrodes and generate an assessment of neurologic dysfunction of the subject.

The present application is a neurological feedback system and method. The neurological feedback provides a trigger event to evoke a first neurological response from the brain of a user and a feedback event to evoke a second neurological response from the brain of a user to counter the first neurological response. As such, when the trigger event evokes a positive first neurological response, such that, for example, dopamine is released by the brain, the feedback event evokes a negative second neurological response, such that, for example, less or no dopamine is released by the brain in response the trigger event (and the converse). The neurological feedback may be useful to break additions or train a brain not to crave certain things.

In an aspect of the invention, a method of identifying sensory inputs affecting working memory load of an individual is provided. The method comprises monitoring (S101) working memory load of the individual using a sensor device, detecting (S102) an increase in the working memory load of the individual, and identifying (S103), in response to the detected increase, at least one sensory input affecting the working memory load of the individual.

Systems and methods for diagnosis of Acute Otitis Media (AOM) with a monopolar probe in a territory innervated by a chorda tympani nerve (CTN) by applying a stimulus by the monopolar, measuring a response to the stimulus, changing the strength of the stimulus applied based on the measured response until the measured response reaches a threshold value, determining a first stimulus strength at the threshold value, repeating these steps for another predefined location in a territory innervated by the CTN associated with a second ear, to determine a second stimulus strength at the threshold value for the second predefined location; and diagnosing AOM based on a difference between the determined first and second stimulus strengths for the first and second locations.

Systems and methods for diagnosis of Acute Otitis Media (AOM) with a monopolar probe in a territory innervated by a chorda tympani nerve (CTN) by applying a stimulus by the monopolar, measuring a response to the stimulus, changing the strength of the stimulus applied based on the measured response until the measured response reaches a threshold value, determining a first stimulus strength at the threshold value, repeating these steps for another predefined location in a territory innervated by the CTN associated with a second ear, to determine a second stimulus strength at the threshold value for the second predefined location; and diagnosing AOM based on a difference between the determined first and second stimulus strengths for the first and second locations.

A method of facilitating a skill learning process or improving performance of a task, comprising: determining a brainwave pattern reflecting neuronal activity of a skilled subject while engaged in a respective skill or task; processing the determined brainwave pattern with at least one automated processor; and subjecting a subject training in the respective skill or task to brain entrainment by a stimulus selected from the group consisting of one or more of a sensory excitation, a peripheral excitation, a transcranial excitation, and a deep brain stimulation, dependent on the processed temporal pattern extracted from brainwaves reflecting neuronal activity of the skilled subject.