Chinese Computational and Cognitive Neuroscience Conference 2020
Chinese Computational and Cognitive Neuroscience Conference 2020
By constructing the mathematical models based on the facts observed in experiments, using simulation and mathematic analysis, computational neuroscience characterizes the neural activity, investigates the neural dynamics underlying the information processing during perception, learning, memorizing, decision making, reasoning, et al. The investigation on the mechanism of information processing bridges the neuroscience and artificial intelligence. The analysis and simulation of cognitive function helps people recover the mechanism underlying the psychiatric disorders.
The aim of Chinese computational and Cognitive Neuroscience (CCCN) Conference is to boost the field of computational neuroscience in China and communication between researcher in the field. CCCN 2019 has been held in Chengdu and hosted by the Key Laboratory for NeuroInformation of Ministry of Education, UESTC（http://meeting.csn.org.cn/JSRZ/）. CCCN 2020 is hosted by School of Systems Science, State Key Laboratory for Cognitive Neuroscience and Learning, BNU. CCCN 2020 goes to virtual conference due to the Covid-19(http://meeting.cns.org.cn/2020CCCNC/).
Chair:
Xiao-Jing Wang (New York University)
Member：
Si Wu (Peking University)
Guoqiang Bi (University of Science and Technology of China)
Dongzhuo Zhou (Shanghai Jiao Tong University)
Doris Tsao (Caltech)
Chengcheng Huang (University of Pittsburgh)
DaHui Wang (Beijing Normal University)
Schedule:
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9:00-11:25 |
11:00-13:25 |
18:00-20:25 |
21:00-23:25 |
2:00-4:25 |
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20:00-23:00 |
22:00-1:00 |
5:00-8:00 |
8:00-11:00 |
13:00-16:00 |
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9:00-11:3 |
11:00-13:30 |
18:00-20:30 |
21:00-23:30 |
2:00-4:30 |
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20:00-23:00 |
22:00-1:00 |
5:00-8:00 |
8:00-11:00 |
13:00-16:00 |
Session I (Beijing time June 29 AM):
9:00-9:10 | XiaoJing Wang | Opening speech |
9:10-9:55 | Nikolaus Kriegeskorte | Testing deep neural network models of human vision with brain and behavioral data |
9:55-10:40 | Pulin Gong | Propagating activity patterns in cortical circuits: dynamical properties and computational roles |
10:40-11:25 | Guoqiang Bi | Multi-scale analyses of neurons: from synaptic proteins to brain-wide circuits |
Session II (Beijing time June 29 PM):
20:00-20:45 | Anna Wang Roe(王菁) | Roadmap to a columnar visual cortical prothestic |
20:45-21:30 | MinMin Luo | Reward processing by the Dorsal Raphe |
21:30-21:40 | Break | |
21:40-22:00 | WenHao Zhang | A normative theory of how neural circuits perform causal inference in cue integration |
22:00-22:20 | YunZhe Liu | Prioritizing Replay for Model-based Learning |
22:20-23:00 | Xiaojing Wang Henry Kennedy GuoQiang Bi Anna Wang Roe(王菁) Martin Vinck YuHan Chen | Discussion on large scale brain network |
Session III (Beijing time June 30 AM):
9:00-9:45 | Keren Haroush | Social representations in the primate brain |
9:45-10:30 | Wu Li | Learning-induced changes in visual cortical processing |
10:30-10:50 | Liang Liang | Organization and modulation of distinct information lines in mouse visual thalamus |
10:50-11:10 | YuHan Chen | Predicting large-scale primate brain networks |
11:10-11:30 | PengChen Zhou | Fusing electron microscopy data and calcium imaging data to achieve functional connectomics |
Session IV (Beijing time June 30 PM):
20:00-20:45 | XiaoQin Wang | Computational principles of auditory cortex |
20:45-21:30 | Brent Doiron | Dimensions of variability in circuit models of cortex |
21:30-21:40 | Break | |
21:40-22:00 | Robert Yang | Machine evolution of olfactory systems |
22:00-22:20 | Yang Zhou | Decision-making Across Parietal and Frontal Cortices |
22:20-23:00 | Nikolaus Kriegeskorte Si Wu Dan Yamins Robert Yang Brent Doiron Chengcheng Huang | Discussion on brain and AI |
Contact 王大辉：13466388445 wangdh@bnu.edu.cn 斯白露：18500396568 bailusi@bnu.edu.cn