Differences emerge regarding brain rhythms in male and female as the electric brain signal evaluated by utilizing EEG of males and females display variations. The variation cannot be deciphered by uniform scrutiny, not even by a tutored eye of a neurologist. A fathomless learning computer is able to find it. Researchers of the University of Twente, the University of Zürich and research institute Brainclinics in Nijmegen, publish these results in Scientific Reports.
Male and Female brains vary in functionality and anatomy. But that the EEG signals, electro-encephalography by electrodes put on the skull displayed varied signal was not indicated. For the elucidation of EEG signals, advanced pattern recognition techniques have been expanded in the last decade. However, yet in numerous cases a tutored eye is the best remedy. But even these tutored eyes cannot tell the difference between male and female rhythms. For this the artificial intelligence has to come to the rescue.
The researchers possessed a large set of EEG pattern from various laboratories. This set is fed to the learning computer from the neural net. The major difference is in the ‘beta activity’, a frequency range between 20 and 25 Hz. These rhythms are associated with cognition and with undertakings that are emotionally positive and negative. Precursory research shows that females are able to identify emotions. This could signify a variation in Beta activity. Within the realm of this research project this has remained unexplained further.