Elucidation of the Neural Circuit Dynamics for Prediction and Decision Making

2015 Fiscal Year Final Research Report

• Project Area: Elucidation of neural computation for prediction and decision making: toward better human understanding and applications
• Project/Area Number: 23120007
• Research Category: Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
• Allocation Type: Single-year Grants
• Review Section: Complex systems
• Research Institution: Okinawa Institute of Science and Technology Graduate University
• Principal Investigator: Doya Kenji 沖縄科学技術大学院大学, 神経計算ユニット, 教授 (80188846)
• Co-Investigator(Renkei-kenkyūsha): KUHN Bernd 沖縄科学技術大学院大学, 光学ニューロイメージングユニット, 准教授 (90599557)
• Project Period (FY): 2011-04-01 – 2016-03-31
• Keywords: 意思決定 / モデルフリー / モデルベース / 強化学習 / ベイズ推定 / 二光子顕微鏡 / 大脳基底核 / 大脳皮質

Outline of Final Research Achievements

We performed two-photon imaging of the mouse parietal cortex during an Auditory Virtual Navigation Task. By using Bayesian decoder of the target location from neural activities, we showed that the target location is updated by prediction even during no-sound periods and that the target location is disambiguated during sound presentation, which are the signatures of Dynamic Bayesian Filtering.
We recorded and analyzed the striatal neural activities of rats during a probabilistic reward task and revealed that the many neurons in the dorsomedial striatum encode action values. We also used a miniature endoscope microscope to image the neural activities of the hippocampus and the striatum and showed that reward predictive responses develop in the striatum during learning of conditioned responses.

Free Research Field

脳科学