A device for examining a pathological interaction between different brain areas, including a stimulation unit, which administers identical stimuli to a patient in a sequential manner, wherein the stimuli stimulate neurons of the patient in the brain areas to be examined, a measuring unit for recording measurement signals that represent a neural activity of the stimulated neurons, and a control and analysis unit for controlling the stimulation unit and for analyzing the measurement signals. The control and analysis unit transforms the measurement signals into the complex plane, examines the distribution of the phases of stimuli of the measurement signals absorbed by the measuring unit in response to the stimuli delivered to the patient, and determines the probability, with which the phase distribution differs from a uniform distribution, in order to ascertain whether a pathological interaction between the brain areas exists.

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.

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.

Methods and systems are disclosed for discovery of knowledge, interest and experience of individuals indicated by measured psychophysiologic response (e.g., electroencephalograph) to sensible stimuli (e.g., images). Stimuli are selected to explore targeted topics described in various levels of detail and sub-categories organized as hierarchal trees. The degree of psychophysiologic response to stimuli associated with sub-categories of topics in the hierarchal tree guides selection of additional stimuli to systematically explore hierarchal tree nodes, levels and branches to discover the extent of knowledge, interest or experience related to the targeted topic. A system enabling these methods provides archival and search of hierarchal trees associated with topics of interest, target and non-target stimuli, stimulus dataset generation, editing and presentation, psychophysiologic data collection and processing via local and remote resources, evoked response detection, characterization and scoring, and association of indications of knowledge, interest or experience with regards to facets of the targeted topic.

Methods and systems are disclosed for discovery of knowledge, interest and experience of individuals indicated by measured psychophysiologic response (e.g., electroencephalograph) to sensible stimuli (e.g., images). Stimuli are selected to explore targeted topics described in various levels of detail and sub-categories organized as hierarchal trees. The degree of psychophysiologic response to stimuli associated with sub-categories of topics in the hierarchal tree guides selection of additional stimuli to systematically explore hierarchal tree nodes, levels and branches to discover the extent of knowledge, interest or experience related to the targeted topic. A system enabling these methods provides archival and search of hierarchal trees associated with topics of interest, target and non-target stimuli, stimulus dataset generation, editing and presentation, psychophysiologic data collection and processing via local and remote resources, evoked response detection, characterization and scoring, and association of indications of knowledge, interest or experience with regards to facets of the targeted topic.

A non-invasive product customization system and a method of customizing a product formulation is provided. Brain activity of a user is detected in response to an input of a product formulation into a brain of the user via a sensory nervous system of the user. A mental state of the user is detected based on the detected brain activity. The product formulation is modified based on the determined mental state of the user. The modified product formulation may be presented to the user in a manner that modulates the mental state of the user.

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.

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.

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.

Systems and methods for facilitating product preferences and/or product recommendations are disclosed. Biometric data of the subject are taken into account by the systems and methods in order to determine product preferences and/or product recommendations. Other factors of the subject, although optional, may be also taken into account while determining product preferences and/or product recommendations for a subject. These product preferences or recommendations can be presented to the subject, either automatically via a display device or with assistance from a product consultant. To obtain the biometric data, the subject will be exposed to a number of stimuli, such as fragrance/scent stimuli. Biometric data will then be collected from the subject based on her response to this fragrance/scent stimuli. In some examples, the collected biometric data relates to a subject's event-related potential (ERP)—the measured brain response that is the direct result of a specific sensory, cognitive, or motor event.