The neuroethology of birdsong
著者
書誌事項
The neuroethology of birdsong
(Springer handbook of auditory research, 71)
Springer, c2020
大学図書館所蔵 全2件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references
内容説明・目次
内容説明
Vocal signals are central for social communication across a wide range of vertebrate species; consequently, it is critical to understand the mechanisms underlying the learning, control, and evolution of vocal communication. Songbirds are at the forefront of research into such neural mechanisms. Indeed, songbirds provide a particularly important model system for this endeavor because of the many parallels between birdsong and human speech. Specifically, (1) songbirds are one of the few vertebrate species that, like humans, learn their vocal signals during development, (2) the processes of song learning and control in songbirds shares many parallels with the process of speech acquisition in humans, and (3) there exist deep homologies between the circuits for the learning, control, and processing of vocal signals across songbirds and humans. In addition, because of the diversity of songbirds and song learning strategies, songbirds offer a powerful model system to use the comparative method to reveal mechanisms underlying the evolution of song learning and production. Taken together, research on songbirds can not only reveal general principles underlying vertebrate vocal communication but can also provide insight into potential mechanisms underlying the learning, control, and processing of speech.
This volume will cover a range of topics in birdsong spanning multiple level of analysis. Chapters will be authored by the world's leading experts on birdsong and will provide comprehensive reviews of the processes underlying song learning, of the neural circuits for song learning and control as well as for the extraction and processing of song information, of the selection pressures underlying song evolution, and of genetic and molecular mechanisms underlying the learning and evolution of song. The primary goals of this volume are to provide comprehensive, integrative, and comparative perspectives on birdsong and to underscore the importance of birdsong to biomedical research, evolutionary biology, and behavioral, systems, and computational neuroscience.The target audience of this volume will be graduate students, postdoctoral fellows, and established academics and neuroscientists who are interested in mechanisms of communication from an integrative and comparative perspective. The volume is intended to function as a high-profile and contemporary reference on current work related to the learning, control, processing, and evolution of birdsong. This volume will have broad appeal to comparative and sensory biologists, neurophysiologists, and behavioral, systems, and cognitive neuroscientists who attend meetings such as the Society for Neuroscience, the International Society for Neuroethology, and the Society for Integrative and Comparative Biology. Because of the relevance of birdsong research to understanding human speech, it is likely that the volume will also be of interest to speech researchers and clinicians researching communication, motor, and sensory processing disorders.
目次
- PROPOSED CHAPTERS (with proposed senior authors) 1. Approaching birdsong from multiple levels of analysis - Jon T. Sakata and Sarah C. Woolley This chapter will provide a broad overview of birdsong research from multiple levels of analysis. We will adopt Tinbergen's landmark framework to provide summaries of research into the mechanisms, development, evolutionary history, and adaptive significance of birdsong (e.g., the importance of song performance to reproductive success). This introductory chapter will highlight key concepts to be discussed in greater depth in subsequent chapters and will emphasize the complementarity of birdsong research to broader research on vocal communication in vertebrates. 2. History of birdsong research - Jonathan Prather and Donald Kroodsma This chapter will present a historical overview of the field of birdsong. The authors will review the works of researchers who paved the way for the modern era of birdsong (e.g., Thorpe, Marler, Nottebohm, Konishi), highlight the importance of the comparative approach, outline central questions in birdsong, and discuss novel methodologies to answer classic questions. 375 3. Bridging birdsong and speech - Jon T. Sakata and Patricia Kuhl Songbirds are one of the few vertebrate species that, like humans, are not born with their vocal communication signals but must learn the structure of their species-typical vocalizations during development. Further, the process of song learning in songbird^1200 times). The chapter will discuss such diverse topics such as critical periods, sensory refinement across development, social reinforcement and contingency, learning in a social context, sensorimotor learning, reinforcement models for sensory and sensorimotor learning, species constraints on song learning, and entrainment. 4. Neural mechanisms of vocal learning - Mimi Kao and Michael S. Brainard This chapter will provide a comprehensive review of the neural mechanisms underlying vocal learning, theoretical models of vocal learning, and empirical tests of these models. The authors will provide detailed descriptions of the contributions of neurons in the canonical 'song system' and auditory processing circuits to vocal learning and plasticity. In addition, this chapter will review recent advances into our understanding of how neuromodulatory inputs into song and auditory circuits (e.g., from the ventral tegmental area, locus coeruleus, and nucleus basalis) shape the process of vocal learning. This chapter will also review shared and distinct mechanisms underlying sensory vs. sensorimotor learning as well as recent advances into the contribution of brain areas outside the canonical song system to song learning. 5. Neural mechanisms of song control - Michael Long and Tim Gardner This chapter will review the exciting new advances in our understanding of how neurons in the song system control song production. The chapter will provide an overview of theoretical models of song control and empirical support for such models and will discuss sensorimotor integration, efference copy, and feedback signals. The authors will also summarize recent technological advances to probe neural function, including optogenetics, miniaturized Peltier devices, and micro-imaging techniques. 6. Songbirds as models to understanding basal ganglia function - Arthur Leblois and David Perkel Area X is a basal ganglia structure that is critical for song learning and control and that resembles basal ganglia structures in mammals. This chapter will review the microcircuitry within Area X, the homologies between Area X and mammalian basal ganglia circuits, and the function of Area X neuronal circuits to juvenile song learning and to adult song control and plasticity. In addition, the authors will discuss how midbrain circuitry influences Area X function and, relatedly, how songbirds can help us understand the neural processes underlying Parkinson's and Huntington's disease. 7. Auditory processing for social decision-making - Sarah C. Woolley and Sarah M.N. Woolley Both male and female songbirds heavily rely on auditory information from conspecifics to make important social decisions
- for example, female songbirds select their mates based on the quality of his song. This chapter will review the advances in understanding mechanisms of auditory processing for social decision-making. The authors will synthesize neurophysiological, cellular, and neuroimaging data to present an integrative framework for understanding sensory processing for social decision-making. 8. Regulation and modulation of auditory processing - Luke Remage-Healey and Yoko Yazaki-Sugiyama The processing of ethologically relevant stimuli is modulated by a variety of factors including behavioral state (awake vs. sleeping vs. anesthetized
- singing vs. quiescent), developmental history, and species. This chapter will review how such factors influence auditory responses in songbirds and discuss the neural and endocrine mechanisms (e.g., norepinephrine, acetylcholine, sex steroid hormones) that could underlie such modulation of auditory responses. 9. Computational approaches to understanding the processing and production of birdsong - Frederic Theunissen and Kamal Sen Computational approaches have yielded important insights into how the nervous system encodes and decodes information. Such approaches have allowed birdsong researchers to uncover, for example, the complexity of receptive fields in the songbird brain as well as the hierarchical nature of sensory processing. This chapter will provide a comparative and in-depth overview of computational approaches to understanding both the processing and production of birdsong. 10. Genetic architectures underlying vocal learning and control - Sarah London and Constance Scharff Understanding how genes regulate complex behaviors like birdsong is a fundamental pursuit in behavioral neuroscience. Indeed, because of the numerous similarities in vocal learning processes between songbirds and humans, revealing the genes that influence vocal learning in songbirds can provide profound insight into the genes that could underlie variation in vocal learning in humans, including genes underlying developmental and communicative disorders. This chapter will provide a comprehensive review of the genes that have been found to influence song learning in songbirds, in particular in the zebra finch, with a focus on genes that have similarly been implicated in speech acquisition in humans (e.g., foxp2, cntnap2). 11. Cognitive contributions to song perception and production - Tim Gentner The songs of a variety of songbirds, including European starlings and Bengalese finches, have complex acoustic and syntactic structures and live in communities with complex social structures. Consequently, these songbirds offer a powerful opportunity to reveal the cognitive mechanisms underlying the processing and production of complex vocalizations. In addition, cognitive processes such as habituation and individual recognition regulate the processing and production of song in a wide range of songbird species. This chapter will review the exciting advances in our understanding of how avian brains process complex auditory signals. 12. Functional significance of vocal performance - Jeff Podos Because females decide to mate with individual males based, in part, on the the quality of their song, it is critical to understand the features of song that represent "song quality". This chapter will review the various features of song considered to represent song quality, including repertoire size, complexity, and difficulty of performance, as well as the empirical support for the importance of these features to reproductive success. Further, the chapter will provide an overview of the peripheral and neurobiological control of these features in order to reveal potential substrates that selection acts upon. 13. Comparative studies of songbirds to reveal molecular mechanisms underlying the evolution of song learning - Kazuhiro Wada, Kazuo Okanoya, and Erich Jarvis Vocal learning has evolved independently in three clades of birds - songbirds, parrots, and hummingbirds. However, the molecular mechanisms underlying these evolutionary events remain elusive. With the utilization of high-throughput technologies to rapidly sequence genomes and analyze gene expression, we have recently gained deeper insight into the molecular underpinnings of song learning evolution. This chapter will provide an overview of approaches to study the evolution of song learning in birds and a review of the recent literature on candidate genes and molecules for vocal learning. The authors will also provide an outlook on the future of advances in the field, including the integration of evo-devo approaches and behavioral genetics to the study of song evolution.
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