A model of neural networks comprised of the fast-spiking class of interneurons regulating neural networks. Fast-spiking neurons regulate activity in neural networks in response to environmental input from thalamic afferents by providing strong, rapid inhibition to a plurality of neurons in advance of excitatory neurons responding to environmental input. Fast-spiking neurons regulate experience dependent plasticity in neural networks by shifting between distinct maturational states in response to experience.

The technology involves scaffold structures used for in-ear sensor systems. Such systems that can perform biometric signal detection or act as a human-computer interface. Scaffolding arrangements minimize the amount of material placed in the ear while providing a secure fitting device that can be worn for hours, days or longer in order to provide maximal benefit to the wearer. The scaffolding includes a “C”-shaped arcuate curvature for at least part of the housing. This configuration can act as a natural leaf spring to help maintain the housing in contact with different points along the ear. Sensors are located along various points of the scaffolding for use in different diagnostic situations. Different components of an on-board sensor input and processing system can be distributed along different parts of the scaffolding. Such structures beneficially minimize ambient sound occlusion and avoid the need of an exterior strap or clip worn around the ear.

The present disclosure provides a system for analyzing electrical activities of at least one brain. The system comprises a visual output module for rendering a visual output space according to analyzed data sets generated by an analysis module, and displaying a visual output. The visual output comprises a first axis representing FM, a second axis representing AM, and a plurality of visual elements defined by the first axis and the second axis. Each of the visual elements comprises an accumulated signal strength and the analyzed data sets. Each of the analyzed data sets comprises a plurality of analyzed data units collected over a time period.

The present disclosure provides a system for analyzing electrical activities of at least one brain. The system comprises a visual output module for rendering a visual output space according to analyzed data sets generated by an analysis module, and displaying a visual output. The visual output comprises a first axis representing FM, a second axis representing AM, and a plurality of visual elements defined by the first axis and the second axis. Each of the visual elements comprises an accumulated signal strength and the analyzed data sets. Each of the analyzed data sets comprises a plurality of analyzed data units collected over a time period.

An electronic device to acquire and analyze electroencephalogram data of the subject includes a cognitive function examination control section that presents examination data used for a cognitive function examination of the subject at the time of executing an operation having a different purpose from that of an electroencephalogram measurement, and a cognitive function analysis section that extracts an index of a cognitive function of the subject from electroencephalogram data of the subject measured when presenting examination data.

An electronic device to acquire and analyze electroencephalogram data of the subject includes a cognitive function examination control section that presents examination data used for a cognitive function examination of the subject at the time of executing an operation having a different purpose from that of an electroencephalogram measurement, and a cognitive function analysis section that extracts an index of a cognitive function of the subject from electroencephalogram data of the subject measured when presenting examination data.

Presented is an EEG adapter device for eyewear which can be worn invisibly and continuously by the user. The eyewear adapter includes a main body configured in the form of a sleeve so that an intended temple of the eyewear can slidably fit therein, a ring configured to fit over the eyewear's temple and operable by a user to move a first EEG electrode of the eyewear adapter toward or away from the main body to ensure the first EEG electrode is adjustably positioned at FT9/FT10 of the 10-10 system. The eyewear adapter further includes a second EEG electrode and positioned in the vicinity of a bony region behind the user's ears, a third EEG electrode positioned at T9/T10 position of the 10-10 system when in use, and an electronics unit configured to receive and process EEG-related data from the first, the second, and the third EEG electrodes.

Presented is an EEG adapter device for eyewear which can be worn invisibly and continuously by the user. The eyewear adapter includes a main body configured in the form of a sleeve so that an intended temple of the eyewear can slidably fit therein, a ring configured to fit over the eyewear's temple and operable by a user to move a first EEG electrode of the eyewear adapter toward or away from the main body to ensure the first EEG electrode is adjustably positioned at FT9/FT10 of the 10-10 system. The eyewear adapter further includes a second EEG electrode and positioned in the vicinity of a bony region behind the user's ears, a third EEG electrode positioned at T9/T10 position of the 10-10 system when in use, and an electronics unit configured to receive and process EEG-related data from the first, the second, and the third EEG electrodes.

One embodiment provides a method, including: obtaining EEG data from one or more single channel EEG sensor worn by a user; classifying, using a processor, the EEG data as one of nominal and abnormal; and providing an indication associated with a classification of the EEG data. Other embodiments are described and claimed.

One embodiment provides a method, including: obtaining EEG data from one or more single channel EEG sensor worn by a user; classifying, using a processor, the EEG data as one of nominal and abnormal; and providing an indication associated with a classification of the EEG data. Other embodiments are described and claimed.