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The production, learning, and behavioral significance of outcome prediction signaling in the corticostriatal circuit

皮质纹状体回路中结果预测信号的产生、学习和行为意义

基本信息

批准号：
10027816
负责人：
Marshall Gilmer Shuler
金额：
$ 59.56万
依托单位：
JOHNS HOPKINS UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-08-01 至 2025-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10027816
关键词：
Address Affect Animals Behavior Behavioral Biological Models Brain Choice Behavior Cholinergic Fibers Cognition Disorders Computer Models Corpus striatum structure Cues Data Decision Making Desire for food Dimensions Dopamine Dorsal Educational process of instructing Electrophysiology (science)Elements Event Fiber Future Goals Human Image Impairment Learning Measures Modeling Motor Neuromodulator Neurons Operant Conditioning Outcome Production Psychological reinforcement Punishment Reporting Research Rewards Role Sensory Signal Transduction Site Source System Testing Time Visual Visual Cortex Water Work area striata basal forebrain base cholinergic conditioning expectation experience fictional works functional outcomes learning outcome nerve supply neural circuit neuroregulation optical sensor optogenetics outcome prediction relating to nervous system response reward expectancy theories visual learning visual stimulus

项目摘要

Project Summary Learning and decision-making are driven by expectations of future outcomes. Three key parameters determining the valuation of future outcomes are 1) “how much” to expect, 2) “when” to expect it, and 3) “what” to expect (ie, Outcome Prediction). However, how outcome prediction is generated by the brain in response to predictive cues is poorly understood. Exemplifying the when of outcome-prediction is so-called “reward timing” activity in the primary visual cortex (VC), which emerges in VC when visual stimuli are behaviorally conditioned with delayed water reward. Previously, we have demonstrated that this timing activity is generated within VC itself and requires basal forebrain cholinergic innervation to be formed. We have also demonstrated that this activity informs on the timing of visually-cued actions. Indeed, the dorsal striatum (DS) is VC's direct downstream motor-related target, and it is also observed in pilot data to expresses this activity. Together, these observations make the visual corticostriatal circuit (VC»DS) a powerful system to address how outcome prediction can be learned and reported neurally. Combined with our computational model of how outcome prediction signaling could be learned by reinforcement signaling within VC»DS, these observations well motivate our research into how VC»DS circuitry produces outcome prediction signals, how cholinergic signaling teaches this circuit to learn outcome predictive signaling, and whether predictive signaling in VC»DS informs decision-making behavior. Whether appetitive (Aim1a) and aversive (Aim1b) conditioning leads to the visual corticostriatal circuit learning to produce outcome prediction signals is unknown, though pilot data indicates it is. Testing predictions from our formal model, selectively perturbing inhibitory circuit elements will assess whether VC is a site sourcing predictive signaling to DS (Aim1c). Pilot Ca2+ imaging of cholinergic fibers within VC indicates that reward, as well as punishment is reported to VC (Aim2a) in keeping with its purported role as a teaching signal, but raising the possibility that outcome valence is learned downstream in DS (Aim2b). Therefore, the degree of cholinergic activation within VC may serve to teach VC to express and source to DS signals predicting the time and magnitude of expected outcomes (Aim2c), while DS may serve as a site associating those predictive signals with their appropriate reward-seeking/punishment avoiding behaviors. The ability to optogenetically mimic outcome signaling affords a means to test whether learned outcome prediction signaling in VC»DS informs decision-making: By instilling fictive reward expectancies atop behaviorally conditioned reward expectancies of otherwise equal value, outcome prediction signaling in VC»DS can be shown to impact future decision making (Aim3a&b). Observations made here will advance an understanding of the mechanisms—impaired in many cognitive diseases—of how the behavioral meaning of sensory information is learned in order to remember past experiences and inform decision making.

项目总结