Fudan Zhang Jiayi’s team and Huashan Hospital Mao Ying Chen Liang’s team reveal the important role of visual cortex in temporal information prediction – Scientific Exploration – cnBeta.COM

The perception and prediction of various signals occurring at different time intervals in the environment are of great significance to the survival and evolution of animals. A typical example is that to avoid predators in time, animals must effectively make accurate predictions on different time signals. Zhang Jiayi’s team from the Institute of Brain Science/State Key Laboratory of Medical Neurobiology, Fudan University, in collaboration with Mao Ying and Chen Liang’s team from Huashan Hospital Affiliated to Fudan University,Important progress has been made recently in the study of temporal information prediction, revealing an important mechanism by which the visual cortex encodes temporal prediction information.

The related paper was published online on Neuron on October 3. This work is also the result of close collaboration between basic and clinical.

The collaborative team first recorded and analyzed intracranial multi-channel electroencephalography (SEEG) signals from 28 brain regions in the human brain, and found that before making temporal information to predict behavior, the EEG of the visual cortex showed two characteristics: the alpha band energy increased And the delta band appears phase synchronization.

In the mouse experiment, the experimental team further applied a number of experimental techniques such as optogenetics and in vivo patch-clamp recording, combined with behavioral experiments, and found that the time-predictive behavior of mice is similar to that of humans, and it is also similar to the brain of primary visual cortex. The electrical energy is highly correlated, and it is also found that some neurons in the visual cortex have increased excitability related to the prediction of temporal information, and the neurons in the visual cortex with increased excitability have significant characteristics of sequential firing.

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Schematic diagram of temporally predicted behavior, EEG signals, and temporal cellular plasticity in humans and mice

On the basis of these biological experiments, the collaborative team proposed a cortical computational model based on double-layer attractors and time cells, which revealed the existence of self-correcting neural networks in visual cortex when processing second-level time information. Plasticity laws. Through this plastic change law, the visual cortex can encode the temporal prediction information of vision, thereby significantly advancing the understanding of the brain temporal prediction mechanism.

Zhang Jiayi, Chen Liang, and Mao Ying are the co-corresponding authors of the paper; Yu Qingpeng, Bi Zedong, Jiang Shize, Yan Biao, Chen Heming, and Wang Yiting are the co-first authors of the paper. Many graduate students and technicians participated in this research.

Author: Tang Wenjia

Editor: Tang Wenjia

Responsible editor: Fan Liping

Figure: provided by the interviewee

*Wenhui’s exclusive manuscript, please indicate the source when reprinting.

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