http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : 백세범 (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
Developmental Models of Functional Maps in Cortex
백세범 대한의용생체공학회 2013 Biomedical Engineering Letters (BMEL) Vol.3 No.4
Functional maps are observed in various areas in the brain ofmany species and are considered as key features that revealthe working mechanism of neural circuits. One particularexample is the orientation preference map in the primaryvisual cortex (V1) in higher mammals, in which neuronsrespond selectively to the orientations of spatial componentsin visual stimuli. This cortical map has been studiedextensively for years because it is thought important tounderstand how sensory information is encoded and decodedin the cortical neural network. An important question raisedis how this map structure is created during early development,which has not been clearly answered for the past decades. Here I introduce the latest model views on this issue todiscuss the developmental mechanism of the orientationpreference maps, and more generally, how the developmentof the functional structure in the nervous system can beunderstood in mathematical model.
-
안소영,최우철,백세범 한국물리학회 2015 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.67 No.10
Understanding the mechanism of information processing in the human brain remains a unique challenge because the nonlinear interactions between the neurons in the network are extremely complex and because controlling every relevant parameter during an experiment is difficult. Therefore, a simulation using simplified computational models may be an effective approach. In the present study, we developed a general model of neural networks that can simulate nonlinear activity patterns in the hierarchical structure of a neural network system. To test our model, we first examined whether our simulation could match the previously-observed nonlinear features of neural activity patterns. Next, we performed a psychophysics experiment for a simple visual working memory task to evaluate whether the model could predict the performance of human subjects. Our studies show that the model is capable of reproducing the relationship between memory load and performance and may contribute, in part, to our understanding of how the structure of neural circuits can determine the nonlinear neural activity patterns in the human brain.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
