Speaker
Description
The ability to recognize and interpret sounds is essential for both humans and increasingly so for machines. From the melodic chirping of birds to the urgent wails of passing emergency vehicles, sound perception allows us to comprehend events and identify objects, even in darkness or behind barriers. This presentation describes interdisciplinary research across cognitive psychology, neuroscience/neuroimaging (high-field MRI, MEG), and artificial intelligence (AI) to explore contemporary models elucidating how the human brain processes real-world sounds and scenes. It investigates the neural mechanisms by which acoustic waveforms are transformed into meaningful semantic representations, shedding light on the neural mechanisms enabling higher-level auditory cognition. Additionally, this talk examines potential collaborative endeavors between AI and cognitive neuroscience, aiming to deepen our understanding of the neural computations involved in extracting diverse semantic information from auditory stimuli.