BCSC
8th (1st Semester, 2025)
Term 1. Data Analysis
Schedule
| 날짜 | 주제 | 비고 |
|---|---|---|
| 1주차 (5/9) | MATLAB Onramp | |
| 2주차 (5/16) | MATLAB 플롯으로 데이터 탐색 | |
| 3주차 (5/17) | Plot Beyond the Second Dimension How MATLAB Graphics Work | |
| 4주차 (5/23) | Table | |
| 5주차 (5/24) | Clean and Prepare Data for Analysis | 발제 |
| 6주차 (5/30) | Common Data Analysis Techniques | |
| 7주차 (6/6) | 데이터의 서브셋 찾기 및 추출 | |
| 8주차 (6/27) | Project Session |
Materials
Results
자율스터디 — Guide to Research Techniques in Neuroscience
자율스터디 마지막 날
Materials
- Guide to Research Techniques in Neuroscience — Matt Carter, Rachel Essner, Nitsan Goldstein, and Manasi Iyer
- 뉴럴링크 — 임창환
- Papers
Results
5th IDEA HACKATHON
Visit to Korea Brain Research Institute (KBRI)
Neuroinsight Workshop 2025
Term 2. Science of Memory
Visit: Science of Memory
Term 2. Network Neuroscience
Results
기자단
Results
9th (2nd Semester, 2025)
Term 1. Statistics
Materials
- Stanford “Introduction to Statistics” (Coursera)
- MIT “Statistics for Brain and Cognitive Science” (OCW)
Results
Term 1. Statistical Understanding on Deep Learning
Materials
- Understanding Deep Learning Requires Rethinking Generalization — Chiyuan Zhang et al.
- Approximation by Superpositions of a Sigmoidal Function — G. Cybenko
Term 2. Probabilistic Computational Neuroscience (Study Leader)
Visit: Probabilistic Computational Neuroscience
10th (1st Semester, 2026)
Term 1. Artificial Intelligence
Visit: Artificial Intelligence
- 🥇 Outstanding Study Award — 1st Place
7th IDEA HACKATHON
- 7–9 Aug 2026
- 🥇🥇🥇 Team 8
7th idea hackathon