Autumn
Dear MEers,
you've got some new messages here
for 11th week~
Quick preview
1
Important notices & news
2
Food recommendation #11
3
Recent News on Concerts and Lectures
4
Weather Forecast for 11th week
5
Q&A for students' rights and interests
01
Important notices & news
The library's partial collection is temporarily unavailable due to relocation.
During the relocation period, all library services for the collections in the affected areas will be temporarily suspended. If readers have any document needs, please use the interlibrary loan system to borrow. The interlibrary loan service is located at the main service desk on the first floor of the North Library (Lee Hsun Library), telephone: 010-62781326.
02
Food recommendation #11
New Light Meal Options
轻食上新
"Qing Shi Shang Xin "
3rd floor New Light Meal Optionsof Lan Yuan
On the third floor of Lan Yuan, the window offers a variety of fruits, vegetables, and high-protein meats. From cantaloupe and dragon fruit to broccoli and cherry tomatoes, as well as chicken breast and cooked beef, there is a rich selection to meet your personalized health needs.
In addition to light meals, the window also features various specialty fruit candied haws on sticks, including blueberries, strawberries, green grapes, and hawthorn. A complete range of fruits is available, offering a tangy and sweet treat that is endlessly enjoyable when you crave something delicious！
Delicious~
03
Recent News on Concerts and Lectures
Marin Affairs Department
"Marin Affairs Department" is Xie Lang's brand new original album released in 2024, where each song tells a unique story. The inspiration for the album stems from the streets of New York City where Xie Lang lived in 2021. In this album, however, the streets have been transformed into a place full of poetry and mystery. This place carries countless emotions and memories for Xie Lang, the musician, and has become the source of inspiration for the album. Therefore, Xie Lang decided to name the album after the name of this street, symbolizing his profound experience of life and his passionate dedication to music creation.
Performance Time: December 5th (Thursday) 19:00
Ticket Opening Time：November 17th (Sunday) 13:00
Location:New Tsinghua School Experimental Theater
Ticket Price: ¥120
Inquiry Telephone Number: 010-62781984
Scan the QR code below for tickets:
Warm Reminder:
The performance is approximately 90 minutes long. Children under 1 meter in height are not admitted. Seating for this performance is not assigned.
Dynamic-Attention-Based EEG State Transition Modeling for Emotion Recognition
Electroencephalogram (EEG)-based emotion decoding can objectively quantify people's emotional state and has broad application prospects in human-computer interaction and the early detection of emotional disorders. Recently emerging deep learning architectures have significantly improved the performance of EEG emotion decoding. However, existing methods still fall short of fully capturing the complex spatiotemporal dynamics of neural signals, which are crucial for indicating emotion processing. This study proposes a Dynamic-Attention-based EEG State Transition (DAEST) modeling method to characterize EEG spatiotemporal dynamics. The model extracts spatiotemporal components of EEG that represent multiple parallel neural processes and estimates dynamic attention weights on these components to capture transitions in brain states. The model is optimized within a contrastive learning framework for cross-subject emotion recognition. The proposed method achieved state-of-the-art performance on three publicly available datasets: FACED, SEED, and SEED-V. It achieved an accuracy of 75.4% in the binary classification of positive and negative emotions and 59.3% in nine-class discrete emotion classification on the FACED dataset, 88.1% in the three-class classification of positive, negative, and neutral emotions on the SEED dataset, and 73.6% in five-class discrete emotion classification on the SEED-V dataset. The learned EEG spatiotemporal patterns and dynamic transition properties offer valuable insights into the neural dynamics underlying emotion processing.
Location: Sancaitang Building, 160 Chengfu Rd.
Time:Thursday, November 21, 2024, 11: 45-12: 30
Event Lauange:English
Format: Online & Offine (35 minsLecture + 10 minsQ&A)×2
Tencent Meeting ID:314-3452-7076
04
Weather Forecast for 11th week
05
Q&A for students' rights
and interests
If you have any questions about your study, life or anything, you're very welcomed to scan the QR code below to write them down. There'll be some staff members who will check the questions regularly and answer them with patience. So don't hesitate to ask for help. We'll always be here for you~
Here's the QR code:
部分信息来源 | 清华大学党委学生部
清华大学新清华学堂
清华大学国际学生学者中心
部分资料来自网络，侵权删
供稿 | 清华大学机械工程系研究生分会
主办 | 清华大学机械工程系研究生分会
文字丨高少博
编辑丨高少博
审核丨王健健、钱泓宇
