معرفی
Dean Buonomano is a Professor of Neurobiology in the David Geffen School of Medicine at the University of California Los Angeles. His research focuses on understanding how neural circuits process time and perform complex temporal computations essential for speech comprehension, movement coordination, and event prediction. With over three decades of neuroscience research, he has established himself as a leading figure in the field of neural timing mechanisms.
Dr. Buonomano's research interests center on the hypothesis that timing and temporal processing are fundamental neural computations performed by most neural circuits at millisecond to second scales. His work challenges traditional clock-like models of time perception, proposing instead that the brain tells time through the intrinsic dynamics of neurons and neural circuits. His laboratory employs a multidisciplinary approach combining electrophysiology, optogenetics, computational modeling, and psychophysical techniques to investigate neural mechanisms of time processing, learning, and memory.
The most recent publications from the Buonomano Lab demonstrate a continued focus on neural dynamics as the basis for temporal processing. His research shows how cortical circuits learn to predict and replay temporal patterns, how neural sequences encode time, and how working memory and timing are multiplexed in neural trajectories. His work spans from basic mechanisms of synaptic plasticity to applications in neurodevelopmental disorders like Fragile X syndrome.
Dr. Buonomano has secured substantial research funding through multiple NIH grants, including R01 awards from the National Institute of Neurological Disorders and Stroke. His current projects investigate multiple clocks for encoding time in corticostriatal circuits, multiplexing working memory and timing, and network mechanisms of timed motor responses. His laboratory continues to train the next generation of neuroscientists while advancing our understanding of how the brain processes time.
The Buonomano Lab maintains a strong presence in the neuroscience community, with research that bridges computational neuroscience, systems neuroscience, and cognitive neuroscience. Their work has important implications for understanding both normal brain function and neurological disorders where temporal processing is impaired.
