演題詳細
Oral
神経回路モデリング
Neural Network Modeling
| 開催日 | 2014/9/13 |
|---|---|
| 時間 | 18:10 - 19:10 |
| 会場 | Room G（303） |
| Chairperson(s) | 酒井 裕 / Yutaka Sakai (玉川大学脳科学研究所 / Brain Science Institute, Tamagawa University, Japan) 濱口 航介 / Kosuke Hamaguchi (京都大学大学院医学研究科生体情報科学講座 / Department of Biological Sciences, Graduate School of Medicine, Kyoto University, Japan) |
恐怖条件付け学習後の消去における抵抗性を説明する神経回路数理モデル
A model of Amygdala-mPFC interaction for resistance to extinction after partial reinforcement fear conditioning
- O3-G-2-2
- 李 玉哲 / Yuzhe Li:1 石井 信 / Shin Ishii:2 本田 直樹 / Naoki Honda:3
- 1:京都大学 / Kyoto University, Japan 2:京都大学情報学研究科 / Grad Informatics, Kyoto Univ, Kyoto, Japan 3:京都大学医学研究科 / Grad Medicine, Kyoto Univ, Kyoto, Japan
A model of Amygdala-mPFC interaction for resistance to extinction after partial reinforcement fear conditioning
Yuzhe Li1, Shin Ishii2 and Honda Naoki3
1 Laboratory of Bioimaging and Cell Signaling, Graduate School of Biostudies, Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan
2 Integrated Systems Biology Laboratory, Graduate School of Informatics, Kyoto University, Uji, Kyoto 611-0011, Japan
3 Imaging Platform for Spatial-Temporal Information, Graduate School of Medicine, Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan
Animals have an ability to associate conditioned stimulus (CS, e.g. tone) with paired emotional unconditioned stimulus (US, e.g. electric shock). The conditioned fear memory can be extinguished when numbers of CSs are presented without US. Interestingly, the learning speed of such fear extinction depends on statistics of experienced fear conditioning; animals that experienced partial pairings between CS and US show larger 'resistance to extinction', compared with animals that experienced continuous pairings. However, how the brain processes the statistics of fear conditioning is largely unclear. Here, we developed a neural circuit-based model that consists of subpopulations of neurons in amygdala and the medial prefrontal cortex (mPFC), and addresses their interaction and synaptic plasticity within these regions. In the computer simulation, we reproduced behaviors of amygdala and mPFC activities as conditioned response in both continuous and partial fear conditioning and extinction. On the basis of these results, we proposed that balance between activities of the neuron subpopulations in amygdala and mPFC encodes surprise-like signal, which reflects the statistics of fear conditioning, and provides learning signal for synaptic plasticity in mPFC during extinction. Thus, our model shed light on neural circuit-level understanding of large resistance to extinction.
Acknowledgement
This study was supported by the Platform for Dynamic Approaches to Living System and the Strategic Research Program for Brain Sciences, both from the Ministry of Education, Culture, Sports, Science, and Technology, Japan.