If an attractive individual approaches you then would you ogle, shy away, smile, ignore, or approach the person is quite unpredictable. As it totally depends on one’s internal state comprises of the present state of mind, previous experiences, and other variables that the people watching cannot see. The neuroscientists from Princeton have been trying to decode the internal state of an individual by observing external behaviors. The fruit flies’ movements and songs were studied to understand the internal state. The researchers were able to identify various rare and observable variables among the species. The new study helped the researchers build a machine learning model.
The animals chose changes in their behavior depending on the feedback and state of their nervous system. The new method helped researchers differentiate the fruit flies based on their movements and song patterns. Thus, if this method was to be tried on the humans then the predictions about running away, approaching with guts, hesitating, and other emotions could all be easily concluded. Also the neurons that play an important role in distinct strategies could be identified. The framework of the model is definitely going to help understand the connection between neural activity and natural behavior.
In a similar context, a Neuroscientist Tony Prescott at the University of Sheffield is working on synthetic psychology that is trying to understand human behavior through physical models like robots. The Italian-Austrian Cyberneticist Valentino Braitenberg was the first supporter of synthetic psychology and he believed that once the model is programmed then it can be put in any environment to study the behavior. The researchers have created a robot named MiRo that can behave exactly like a dog and it can help comfort humans. The researchers are basically programming robots with specific human behavior to understand the very unpredictable thought process.