Neuroeconomics and decision neurophysiology in non-human primates


My research focuses on neuroeconomics and decision neurophysiology in non-human primates. We associate neural signals with decision behaviour to elucidate how decisions are made in various context-dependent environment. We design behavioural tasks based on microeconomic theories, behavioural economics and game theory to infer idiosyncratic behavioural parameters, and perform real time single neuron recording in targeted decision making neural substrates, including orbitofrontal cortex (OFC), amygdala, striatum, etc. By carefully analysing these neural signals with computational simulations and machine learning classifiers, we could validate economic and psychological decision theories and their predictions on individual behaviour, thereby revealing the dynamics and regulatory mechanisms of decision making neural network in non-human primates. Through our research work, we hope to pinpoint potential therapeutic targets for neural stimulation to treat neurological and psychiatric disorders that exemplify pathological decision behaviours. ♦

Keywords:  neuroeconomics, decision neurophysiology, single neuron recording


劍橋大學神經科學研究者名錄
» Cambridge Neuroscience Research Profile «

      我的研究領域是「神經經濟學」(neuroeconomics),主要在了解大腦的不同區域,各自執行什麼功能,如何共同合作,讓我們完成複雜程度不等的決策行為。

神經經濟學研究的決策情境包含:

  • 知覺決策(perceptual decision making)
  • 古典制約學習(Pavlovian conditioning learning)
  • 增強學習(reinforcement learninig)
  • 顯示性偏好排序(revealed preference ordering)
  • 風險偏好與機率學習(risk preference and probabilistic learning)
  • 跨期決策(intertemporal decision making)
  • 情感決策(affective decision making)
  • 動態社會決策(social decision making)

我利用「決策神經科學」作為理論背景、使用化學工程測量技術設計決策實驗樣品,在蒐集行為實驗結果後,透過「個體經濟學與行為經濟學理論」預測並分析個體行為,同時使用「神經電生理測量技術」,同步記錄個體在決策時不同大腦區域的神經元活動訊號。最後再運用「機器學習」演算法進行神經訊號的分析與解碼,並結合「行為神經解剖學」,將研究應用在神經與精神醫學,期望開發新的神經調控模式,協助治療或改善神經與精神疾病患者的行為症狀。 ♦