A.I. translation tool sheds light on the secret language of mice:
"Neurosciences at the University Of Delaware have taken a big leap forward in decoding sounds made by one special animal. What animal is it you may ask? The mouse. To study the mouse vocalizations, the team has gathered data as groups of four mice, two males and two females. In total, the researchers recorded encounters between a total of 44 mice. Starting with the enormous amounts of ensuing video and audio data, the researchers then used machine learning A.I. to develop a system that’s able to connect specific sounds with distinct animal behaviors. 'To link mouse vocalizations to specific actions, we needed multiple technological advances,' University of Delaware neuroscientist Joshua Neunuebel told Digital Trends. 'First, we need to assign specific vocalizations to individual mice. To do this, we developed a sound source localization system that simultaneously recorded mouse ultrasonic vocalizations on eight different microphones, as well as the position of the mice with a camera. The combination of microphones and camera allowed the team to estimate the location of where a particular vocal signal was emitted and then assign the signal to a specific mouse. Once they were able to do that, they were able to categorize them. "
Read more here.
"Neurosciences at the University Of Delaware have taken a big leap forward in decoding sounds made by one special animal. What animal is it you may ask? The mouse. To study the mouse vocalizations, the team has gathered data as groups of four mice, two males and two females. In total, the researchers recorded encounters between a total of 44 mice. Starting with the enormous amounts of ensuing video and audio data, the researchers then used machine learning A.I. to develop a system that’s able to connect specific sounds with distinct animal behaviors. 'To link mouse vocalizations to specific actions, we needed multiple technological advances,' University of Delaware neuroscientist Joshua Neunuebel told Digital Trends. 'First, we need to assign specific vocalizations to individual mice. To do this, we developed a sound source localization system that simultaneously recorded mouse ultrasonic vocalizations on eight different microphones, as well as the position of the mice with a camera. The combination of microphones and camera allowed the team to estimate the location of where a particular vocal signal was emitted and then assign the signal to a specific mouse. Once they were able to do that, they were able to categorize them. "
Read more here.