Notice
Recent Posts
Recent Comments
Link
| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | ||||
| 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| 11 | 12 | 13 | 14 | 15 | 16 | 17 |
| 18 | 19 | 20 | 21 | 22 | 23 | 24 |
| 25 | 26 | 27 | 28 | 29 | 30 | 31 |
Tags
- Python
- abcd
- 파이썬
- DCCSAE
- RSFC-based behavioral prediction
- 판다스
- Kernel regression
- 약수구하기
- DMN
- SPM12
- 광화문텀블러
- socioeconomic status
- Realignment
- 한정판텀블러
- neurofeedback
- hierarchical clustering analysis
- 판다스기초
- Slice timing
- SPM
- matlab
- cortical representation
- CodeUp
- Normalise
- Word Embedding
- fMRI
- cortical mapping
- pandas
- Coregistration
- 우박수
- 코드업
Archives
- Today
- Total
목록RSFC-based behavioral prediction (1)
몽발개발
Deep neural networks and kernel regression achieve comparable accuraciesfor functional connectivity prediction of behavior and demographics
읽은 날 2020.07.28 학술지 NeuroImage 제목 Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics 저자 Tong He a,b, Ru Kong a,b, Avram J. Holmes c, Minh Nguyen a,b, Mert R. Sabuncu d, Simon B. Eickhoff e, f, Danilo Bzdok g,h, i, Jiashi Feng b, B.T. Thomas Yeo a,b, j,k, l,* 한줄요약 Kernel regression을 이용한 RSFC-based behavioral..
뇌공학/논문 정리
2020. 7. 28. 18:18