해마의 CA3와 CA1 영역의 효용가치 신경신호 비교 연구
A comparison of value-related neural activity in hippocampal CA3 and CA1 regions
- 주제(키워드) Decision making , Hippocampus , CA1 , CA3 , Chosen value
- 발행기관 아주대학교
- 지도교수 정민환, 김병곤
- 발행년도 2018
- 학위수여년월 2018. 2
- 학위명 박사
- 학과 및 전공 일반대학원 의생명과학과
- 실제URI http://www.dcollection.net/handler/ajou/000000027129
- 본문언어 영어
- 저작권 아주대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
To investigate whether and how the hippocampus contributes to value-based decision making, we compared value-related neural activity in CA3 vs. CA1 regions of the hippocampus in rats performing a dynamic foraging task in a modified T-maze. Neural signals necessary to update the value of chosen action, namely chosen value and choice outcome signals, converged in both CA3 and CA1 when a trial outcome was revealed at the reward sites. However, choice outcome signals were stronger in CA1 than CA3. Also, whereas chosen value signals subsided rapidly in CA3, they persisted in CA1 while the animal stayed at the reward sites. Moreover, reward prediction error and updated chosen value signals were stronger in CA1 than CA3. Together with our previous finding that CA1 conveys stronger value signals than the subiculum, these results raise the possibility that CA1 may play a particularly important role among hippocampal subregions in evaluating values of experienced events. It remains to be determined whether and how these value-related signals contribute to hippocampal neural processes underlying evaluation of experienced events.
more목차
I. INTRODUCTION ……………………………………………………… 1
A. Episodic memory in Hippocampus ……………………………… 1
B. Reinforcement learning model …………………………………… 2
C. Valuation in Hippocampus ………………………………………… 3
D. Aims of the thesis and summary ………………………………… 5
II. MATERIALS AND METHODS ……………………………………… 6
A. Subject ………………………………………………………………… 6
B. Behavior task ………………………………………………………… 6
C. Unit recording ……………………………………………………… 12
D. Logistic regression analysis of behavior data ……………… 15
E. Matching law ………………………………………………………… 15
F. Reinforcement learning model ………………………………… 16
G. Analysis of neural data …………………………………………… 17
1) Unit classification …………………………………………… 17
2) Multiple regression analysis ……………………………… 18
3) Coefficient for partial determination (CPD) …………… 20
4) Onset time of upcoming choice signals …………………… 21
5) Analysis of LFP ……………………………………………… 22
6) Statistical analysis …………………………………………… 22
III. RESULTS ……………………………………………………………… 24
A. Rat’s choice behavior …………………………………………… 24
B. Neuronal database ……………………………………………… 25
C. Neural activity related to the rat’s choice and its outcome … 26
D. Neural activity related to the rat’s upcoming choice ……… 30
E. Neural activity related to chosen value ……………………… 31
F. LFP analysis ……………………………………………………… 35
G. Neural activity related to reward prediction error and
updated chosen value …………………………………………… 37
IV. DISCUSSION …………………………………………………………… 39
V. CONCLUSION ………………………………………………………… 43
REFERENCES ……………………………………………………………… 44
국문요약 ……………………………………………………………………… 55
