Peering into the mind and ‘new threats to privacy’
In recent studies, neuroscientists have been able to use brain imaging to reliably predict inner states such as lying or intention. In a groundbreaking study published in a recent issue of Nature (and briefly summarised here, here and here), Kay and his colleagues used functional magnetic resonance imaging (fMRI) to make predictions about what subjects were seeing. Using a complex mathematical model based on decades of research into the human visual cortex, measured brain activity to estimate which grayscale natural image the subject was seeing at a given point in time. This goes beyond prior attempts at ‘brain reading’ in that the analysis did not merely use simple artificial stimuli or generic statistical signal-processing methods to identify neural patterns but employed data about the early stages of visual processing to develop a model that was then able to accurately predict which of a large number of novel and complex natural images was seen by the subject.
Read More »Peering into the mind and ‘new threats to privacy’