Colloquium
Time: 11:00am, Nov. 10, 2026
Venue: Lecture Hall, Shanghai Brain Center
Speaker: Prof. YU Xiongjie
School of medicine, Zhejiang University, China
Host：Prof. YU Xiongjie
Biography:
Xiongjie Yu is a Professor and Ph.D. supervisor at Zhejiang University School of Medicine. He earned his Ph.D. in Biophysics from the Institute of Biophysics, Chinese Academy of Sciences, and completed postdoctoral training with Dora Angelaki at Washington University in St. Louis and Baylor College of Medicine. Since joining Zhejiang University in 2014, he has established a laboratory combining human psychophysics and EEG with macaque neurophysiology. His research investigates auditory cognition and temporal integration, linking perception, neural circuits, and brain states. His publications include work in Nature Neuroscience, PLOS Biology, and National Science Review.
Abstract:
How does the brain combine successive sounds into a coherent auditory percept while preserving their temporal structure? This question is central to hearing, from pitch perception to recognizing complex sound patterns. In this talk, I will present our work on auditory temporal integration, combining human psychophysics and EEG with electrophysiological recordings in macaques and rodents.
I will introduce four concepts: temporal merging, temporal configuration, the neuronal integrative window, and temporal integration during synchronization. These concepts address how discrete acoustic events form unified percepts, how their temporal arrangement is represented, and how individual neurons integrate preceding inputs. Temporal integration during synchronization highlights how neurons can integrate across sound elements while remaining synchronized to individual elements. Using change and offset responses as complementary neural readouts, we investigate how temporal integration emerges along the auditory pathway and differs across species.
Finally, I will outline ongoing research linking temporal representations to perceptual decisions in macaques and examining temporal integration across cortical circuits and brain states. Together, this work offers a framework for understanding how the brain transforms sequences of acoustic events into meaningful auditory representations.