Age is one of the most salient aspects in faces and of fundamental cognitive and
social relevance. Although face processing has been studied extensively, brain
regions responsive to age have yet to be localized. Using evocative face morphs
and fMRI, we segregate two areas extending beyond the previously established
face-sensitive core network, centered on the inferior temporal sulci and angular
gyri bilaterally, both of which process changes of facial age. By means of
probabilistic tractography, we compare their patterns of functional activation and
structural connectivity. The ventral portion of Wernicke’s understudied
perpendicular association fasciculus is shown to interconnect the two areas, and
activation within these clusters is related to the probability of fiber connectivity
between them. In addition, post-hoc age-rating competence is found to be
associated with high response magnitudes in the left angular gyrus. Our results
provide the first evidence that facial age has a distinct representation pattern in
the posterior human brain. We propose that particular face-sensitive nodes
interact with additional object-unselective quantification modules to obtain
individual estimates of facial age. This brain network processing the age of faces
differs from the cortical areas that have previously been linked to less
developmental but instantly changeable face aspects. Our probabilistic method of
associating activations with connectivity patterns reveals an exemplary link that
can be used to further study, assess and quantify structure-function relationships.

제 1편 : SIMULINK 기본편
1.1 SIMULINK의 시작 1
블록의 연결 5
블록 파라미터의 설정 7
시뮬레이션 파라미터 (Configuration Parameters)의 설정 8
시뮬레이션의 수행 9
블록 파라미터의 표시 9
복수 데이터의 표시 11
2.2 동적 시뮬레이션 13
이차 미분방정식 17
선형 상태변수 모델 23
DC 모터의 시뮬레이션 24
함수 블록의 사용 29
차분방정식(difference equation)의 모델링 34
Subsystem(부시스템)의 구성 37
제 2편 : 연구논문
A Brain Network Processing the Age of Faces
1. Introduction 41
2. Materials and methods 42
3. MRI and behavioral data acquisition 43
4. Modeling changes of age, gender and optical flow 45
5. Results 47
6. Discussion 50
7. References 52