Abstract: There is provided a method and system for constructing a representation of changes in the state of responsiveness of a mammalian subject's brain to a plurality of repeated external stimuli. The method and system include acquiring a plurality of brain activity measurements of a subject over a plurality of pre-determined time periods. Each of said measurements are of the subject's brain activity preceding and following the presentation of an external stimulus. The method and system further evaluate variability in the acquired brain activity measurements to a plurality of repeated external stimuli by a processor and generate a report of the changes in brain responsiveness states from the variability in said brain activity measurements over the plurality of predetermined time periods.

Abstract: A computer-implemented process for measuring brain activity of a subject, including: receiving electroencephalogram (EEG) data representing EEG measurements of electrical brain activity of the subject; and fitting parameters of a neural population model to the EEG data to determine corresponding values of said parameters, including one or more values of an inhibitory postsynaptic potential rate constant (?i), where ?i is representative of states of brain responsiveness, an increase in ?i relative to a reference value indicating an enhanced state of brain responsiveness, and a decrease in ?i relative to the reference value indicating a decrease in the state of brain responsiveness.

Abstract: A method of displaying the activity of a brain, the method including the steps of: (i) obtaining an electroencephalogram (EEG) signal from the brain; (ii) segmenting said EEG signal into either contiguous or overlapping segments comprised of a sequential number of samples of said EEG signal; (iii) representing said EEG segments as a fixed order autoregressive moving average (ARMA) signal representation with an autoregressive order between 8 and 13 and a moving average order between 5 and 11; (iv) rewriting in z-domain notation said fixed order ARMA signal representation to obtain a z-domain representation; (v) generating AR coefficient data and MA coefficient data for said segments of said EEG signal for said fixed order ARMA signal representation: (vi) determining the poles and zeros of said z-domain representation for said segments of said EEG signal by substituting said coefficient data for said segments of said EEG signal into said z-domain representation; (vii) calculating the sum of the number of poles

Abstract: A method of displaying the activity of a brain, the method including the steps of: (i) obtaining an electroencephalogram (EEG) signal from the brain; (ii) segmenting said EEG signal into either contiguous or overlapping segments comprised of a sequential number of samples of said EEG signal; (iii) representing said EEG segments as a fixed order autoregressive moving average (ARMA) signal representation with an autoregressive order between 8 and 13 and a moving average order between 5 and 11; (iv) rewriting in z-domain notation said fixed order ARMA signal representation to obtain a z-domain representation; (v) generating AR coefficient data and MA coefficient data for said segments of said EEG signal for said fixed order ARMA signal representation: (vi) determining the poles and zeros of said z-domain representation for said segments of said EEG signal by substituting said coefficient data for said segments of said EEG signal into said z-domain representation; (vii) calculating the sum of the number of poles

Abstract: A process for analysing an electroencephalogram signal representative of activity of a brain, including: i) generating coefficient data for a signal representation of a portion of said signal; ii) generating first gain data representing an average amplitude of an output signal generated based on said signal representation and said coefficient data; iii) generating second gain data representing an average amplitude of said portion; and iv) generating, based on said first gain data and said second gain data, brain state data representing subcortical activity of said brain.

Abstract: A process for analysing an electroencephalogram signal representative of activity of a brain, including: i) generating coefficient data for a signal representation of a portion of the signal; ii) generating pole data representing positions of one or more poles on a complex plane, the positions being generated based on the coefficient data; and iii) generating, based on a mean position of the poles, brain state data representing functional state of the brain.

Abstract: A process for analysing an electroencephalogram (EEG) signal representative of activity of a brain of a subject, including: (i) generating coefficient data for a signal representation of a portion of the EEG signal; (ii) generating, based on the coefficient data, cortical state data representing the brain's receptivity to subcortical input and input from other areas of cortex; (iii) generating cortical input data representing a level of subcortical input to the brain at a time corresponding to the portion of the EEG signal; (iv) generating, based on the cortical state data and the cortical input data, display data representing the functional state of the brain of the subject; and (v) displaying the display data on display means.

Abstract: A process for analysing an electroencephalogram signal representative of activity of a brain, including: i) generating coefficient data for a signal representation of a portion of said signal; ii) generating first gain data representing an average amplitude of an output signal generated based on said signal representation and said coefficient data; iii) generating second gain data representing an average amplitude of said portion; and iv) generating, based on said first gain data and said second gain data, brain state data representing subcortical activity of said brain.

Abstract: A method for assessing brain state by analysing mammalian brain electroencephalogram (“EEG”) recordings using an eighth order autoregressive and fifth order moving average discrete time equation.

Abstract: A process for analysing an electroencephalogram (EEG) signal representative of activity of a brain of a subject, including: (i) generating coefficient data for a signal representation of a portion of the EEG signal; (ii) generating, based on the coefficient data, cortical state data representing the brain's receptivity to subcortical input and input from other areas of cortex; (iii) generating cortical input data representing a level of subcortical input to the brain at a time corresponding to the portion of the EEG signal; (iv) generating, based on the cortical state data and the cortical input data, display data representing the functional state of the brain of the subject; and (v) displaying the display data on display means.

Abstract: A process for analysing an electroencephalogram signal representative of activity of a brain, including: i) generating coefficient data for a signal representation of a portion of the signal; ii) generating pole data representing positions of one or more poles on a complex plane, the positions being generated based on the coefficient data; and iii) generating, based on a mean position of the poles, brain state data representing functional state of the brain.