Neural Mechanisms of Social Communication in Parrots

鹦鹉社会交流的神经机制

基本信息

批准号：
10207958
负责人：
Jesse Heymann Goldberg
金额：
$ 68.92万
依托单位：
CORNELL UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-04-15 至 2024-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10207958
关键词：
Accelerometer Acoustics Active Learning Animal Model Animals Area Assimilations Back Beak Behavior Behavioral Bilateral Biological Models Birds Brain Broca&apos s area Cannulas Cell Nucleus Code Communication Companions Consent Corpus striatum structure Courtship Data Dopamine Event Exhibits Feedback Female Fiber Food Friends Friendships Generations Gestures Grooming Head Human Image Implant Individual Joints Learning Machine Learning Melopsittacus Motivation Motor Names Neurons Neurosciences Outcome Output Pair Bond Parakeets Partner in relationship Pathway interactions Pharmacology Phase Photometry Primates Psittacidae Psychological reinforcement Publications Recurrence Research Rewards Signal Transduction Social Behavior Social Interaction Social Network Social outcome Socialization Songbirds Speech Structure System Teenagers Testing Time Visual awake base classical conditioning court dopamine system dynamic system experimental study fighting fitness follow-up innovation loved ones machine learning algorithm male microphone motor control neural circuit neuromechanism neuroregulation neurotransmission nonhuman primate outcome prediction relating to nervous system sensor social social communication social learning social neuroscience sound stereotypy vocal control vocal learning vocalization

项目摘要

PROJECT SUMMARY When Confucius said, “Tell me who are your friends, and I’ll tell you who you are,” he was noticing that how we behave and communicate is shaped by who we choose to hang out with every day. We constantly mimic the mannerisms and behaviors of friends and loved ones. Yet the neural basis of how we imitate, and more importantly who we choose to emulate and why, is largely unknown. Parrots provide a powerful yet untapped model system for social learning. Parrots, like humans and non-human primates, live in a specific type of ‘fission- fusion’ social network in which making and maintaining friendships is the key to fitness. Like humans, they selectively imitate and learn the names of their carefully selected companions. Here we aim to launch parrots as a new animal model in systems neuroscience. In aims 1, we will record neural activity in the vocal motor cortical output of the song system (nucleus AAC) in pairs of budgerigars engaged in courtship interactions. In these first- ever neural recordings form awake, behaving parrots, we are finding that AAC neurons exhibit premotor signals for vocalizations (as expected) and for expressive gestures such as silent kissing, head-bobbing and allogrooming. This joint vocal and gestural neural control, observed in human Broca’s area but not in songbirds – means that what was thought to be a songbird-like ‘song system’ is actually a more general system for social interaction. We next test the causal relationship between song system activity and social behavior. Inactivating AAC during courtship interactions will test if/how vocalizations and gestures degrade or lose their coordination (Aim 2.1). Inactivating frontal or posterior cortical inputs to AAC in bonded pairs will test the songbird-inspired idea that variability and order depend on distinct cortical pathways (Aim 2.2). For each inactivation experiment, a pair of interacting birds is conceptualized as a single dynamical system – and we will use machine learning guided behavioral analysis to quantify how vocalizations and gestures change (or do not) in both the inactivated and non-inactivated partner. Finally, in Aim 3 we will image dopamine (DA) release using fiber photometry and genetically encoded DA sensors. Pilot data demonstrate feasibility of DA imaging in singing birds. These experiments will test for the first time if DA signals, known to evaluate the quality of reward outcomes, similarly evaluate social outcomes. Courtship dynamics are perfect because gestural ‘requests’ to allogroom or ‘kiss’ are rejected or accepted with visually and acoustically obvious ‘consent’ or ‘deny’ signals. Males make hundreds of advances per day and use female feedback to learn – providing natural trial structure, within-session learning, and ‘events’ to which we can align simultaneously recorded male and female DA signals – which may or may not come into alignment as a pair ‘decides’ to bond or not. Budgerigar interactions resemble human conversations – a back-and-forth of vocalizations and gestures that both communicate agonistic or affiliative signals and control vocal learning and partner selection. Together, these experiments will help establish parrots as a new model system in social neuroscience and will ready us for a follow-up R01 submission in two years.

项目概要当孔子说“告诉我谁是你的朋友，我就告诉你你是谁”时，他注意到我们如何行为和沟通取决于我们每天选择的交往对象。朋友和亲人的举止和行为，以及我们如何模仿的神经基础等等。重要的是，我们选择效仿谁以及为什么，很大程度上是未知的。社会学习的模型系统，像人类和非人类灵长类动物一样，生活在一种特定类型的“裂变”中。在“Fusion”社交网络中，建立和维持友谊是健身的关键，就像人类一样。在这里，我们的目标是有选择地模仿和学习它们精心挑选的同伴的名字。系统神经科学中的新动物模型在目标 1 中，我们将记录发声运动皮层的神经活动。进行求爱互动的獾对中歌曲系统（核心 AAC）的输出。每当神经记录形成清醒的、有行为的鹦鹉时，我们发现 AAC 神经元表现出运动前信号用于发声（如预期）和表达性手势，例如无声接吻、摇头和这种联合声音和手势神经控制，在人类布罗卡区观察到，但在鸣禽中没有观察到。 – 意味着被认为是类似鸣禽的“歌曲系统”实际上是一个更通用的社交系统接下来我们测试歌曲系统活动和社会行为之间的因果关系。 AAC 在求爱互动期间将测试发声和手势是否/如何降低或失去协调性（目标 2.1）使 AAC 的额叶或后部皮层输入失活将测试受鸣禽启发的情况。认为变异性和顺序取决于不同的皮质通路（目标 2.2）。一对相互作用的鸟被概念化为一个单一的动力系统——我们将使用机器学习引导行为分析，以量化失活状态下的发声和手势如何变化（或不变化）最后，在目标 3 中，我们将使用光纤光度测定法对多巴胺 (DA) 释放进行成像。基因编码的 DA 传感器的试验数据证明了 DA 成像在歌唱鸟类中的可行性。实验将首次测试 DA 信号是否已知可评估奖励结果的质量，类似地评估社会结果是完美的，因为对彼此允许或“亲吻”的手势“请求”是完美的。雄性会发出数百个视觉和听觉上明显的“同意”或“拒绝”信号来拒绝或接受。每天进步并利用女性反馈来学习——提供自然的试验结构、课程内学习、以及我们可以对齐同时记录的男性和女性 DA 信号的“事件”——这可能或可能当一对虎皮鹦鹉“决定”是否建立联系时，他们的互动就不会像人类一样一致。对话——来回的发声和手势，既传达了对抗性的，也传达了亲和性的信息这些实验将共同帮助鹦鹉建立信号并控制声音学习和伙伴选择。作为社会神经科学的新模型系统，我们将为两年内提交后续 R01 做好准备。

项目成果

期刊论文数量（2）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Anterior forebrain pathway in parrots is necessary for producing learned vocalizations with individual signatures.

鹦鹉的前脑通路对于产生具有个体特征的习得发声是必要的。

DOI：
10.1016/j.cub.2023.11.014
发表时间：
2023
期刊：
Current biology : CB
影响因子：
0
作者：
Zhao,Zhilei;Teoh,HanKheng;Carpenter,Julie;Nemon,Frieda;Kardon,Brian;Cohen,Itai;Goldberg,JesseH
通讯作者：
Goldberg,JesseH