A method of analyzing neurophysiological data recorded from a subject is disclosed. The method comprises identifying activity-related features in the data, and parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain. The method further comprises comparing at least some of the defined capsules to at least one reference capsule, and estimating a brain function of the subject based on the comparison.

An evoked potential monitoring system including a control unit having stimulator circuitry and a probe assembly coupled to the control unit. The probe assembly includes a stimulus probe and a stimulator handpiece selectively coupled to the stimulus probe. The handpiece includes a handle, control circuitry, and a switch. The control circuitry is electrically coupled to the stimulator circuitry. The switch is electrically coupled to the control circuitry and extends to an exterior portion of the handle. In this regard, movement of the switch remotely controls the stimulator circuitry to continuously increment or decrement a stimulation energy level delivered to the stimulus probe over a series of discrete, incremental steps.

Methods, systems, and devices, including computer programs encoded on a computer storage medium are provided for combined dynamic causal modeling and biophysics modeling of brain function. In particular, the disclosed methods of modeling brain function can be used to integrate brain function measurements by two or more methods, such as functional neuroimaging and electrophysiology. Sequential model fitting is used to improve modeling accuracy to generate a more comprehensive model of brain neuronal circuitry.

Methods, systems, and devices, including computer programs encoded on a computer storage medium are provided for combined dynamic causal modeling and biophysics modeling of brain function. In particular, the disclosed methods of modeling brain function can be used to integrate brain function measurements by two or more methods, such as functional neuroimaging and electrophysiology. Sequential model fitting is used to improve modeling accuracy to generate a more comprehensive model of brain neuronal circuitry.

A method of authentication of a user is provided. The method comprises capturing a brain activity signal from a user; comparing the brain activity signal with reference data; and determining, based at least in part on the comparison, whether the identity of the user can be confirmed. Also provided is a computing device comprising at least one processor and at least one memory. The computing device is adapted to: communicate with a brain activity sensing system to capture a brain activity signal from the user; provide the captured brain activity signal to an authentication service computing system; and authenticate the user based at least in part on the result of a comparison with reference data received from the authentication service computing system. A system comprising the computing device and a brain activity sensing system, and am authentication service computing device are also provided.

A method of authentication of a user is provided. The method comprises capturing a brain activity signal from a user; comparing the brain activity signal with reference data; and determining, based at least in part on the comparison, whether the identity of the user can be confirmed. Also provided is a computing device comprising at least one processor and at least one memory. The computing device is adapted to: communicate with a brain activity sensing system to capture a brain activity signal from the user; provide the captured brain activity signal to an authentication service computing system; and authenticate the user based at least in part on the result of a comparison with reference data received from the authentication service computing system. A system comprising the computing device and a brain activity sensing system, and am authentication service computing device are also provided.

A method facilitates altering consciousness by transcranial stimulation to adjust the membrane potential duration of sensory cortex dendritic spine necks. Sensory cortex spine neck membranes are conscious. The method comprises the steps of placing electrodes on or near a scalp; applying electric fields to spine neck membranes in sensory cortex; adjusting stimulation parameters; and altering consciousness for a predetermined duration.

Methods and systems for providing stimulation to a patient's brain using one or more electrode leads implanted in the patient's brain are described. The methods and systems help a clinician determine locations upon the lead where stimulation is expected to provide the best therapeutic benefit and the least side effects. Different locations upon the lead are used to provide stimulation and for each stimulation location evoked potentials are recorded. The evoked potentials are associated with likely beneficial therapeutic stimulation. Signals indicative of unwanted motor activity in the patient are also recorded for each of the stimulation locations. The recorded evoked potential signals and motor signals are used to determine stimulation locations that provide therapeutic benefit with minimal side effects. They can also be used to determine therapeutic windows for the potential stimulation locations.

A physiological information measurement apparatus includes a measuring section that acquires a physiological signal from a living body of a subject, a signal processor that produces a plurality of physiological signal waveforms based on the physiological signal acquired from the measuring section, and that identifies an arithmetic average waveform that is obtained by arithmetic averaging of the plurality of physiological signal waveforms, and information relating to arithmetic average dispersion, and a display that displays at least the information relating to the arithmetic average dispersion.

A biological signal analysis device includes: an acquiring unit configured to acquire biological signals of a measurement target; a trigger information acquiring unit configured to acquire, from a stimulator configured to apply stimuli to the measurement target, trigger information indicating times at which the stimuli are generated; and a signal processing unit configured to process the biological signals. The signal processing unit is configured to calculate biological information on the measurement target based on the biological signals, maintain only pieces of trigger information corresponding to times at which it is determined that biological signals of the measurement target are generated, from the calculated biological information, delete another piece of trigger information, and use an averaged waveform that is obtained by performing an averaging process on the biological signals that are generated in synchronization with the stimuli based on the pieces of remaining trigger information.