{"title":"《简单的头脑:无脊椎动物学习和记忆的神经生物学","authors":"D. Glanzman","doi":"10.1101/087969819.49.347","DOIUrl":null,"url":null,"abstract":"Although it has been formally recognized since the end of the 19th century that invertebrates can learn (Romanes 1895), the modern neurobiological analysis of invertebrate learning did not begin until the 1960s. Starting in that decade, pioneering investigators began to use intracellular electrophysiology to probe the basic mechanisms of learning in higher invertebrates (Bruner and Tauc 1966; Kandel 1967; Krasne 1969). Initially, these studies focused on simple forms of nonassociative learning, including habituation and sensitization. However, by the early 1980s, associative learning, particularly classical conditioning, had been described in several invertebrate systems that were amenable to electrophysiological and biochemical—and, in the case of Drosophila, genetic—analyses (Takeda 1961; Henderson and Strong 1972; Mpitsos and Davis 1973; Menzel et al. 1974; Dudai et al. 1976; Crow and Alkon 1978; Chang and Gelperin 1980; Hoyle 1980; Carew et al. 1981; Lukowiak and Sahley 1981). Research on learning and memory in invertebrates during the past four decades has yielded fundamental insights into our understanding of the changes that take place within an animal’s nervous system when it learns. The major advantage of invertebrate systems for cell biological analyses of learning and memory is the relative simplicity of their nervous systems. Many higher invertebrates possess only 10,000–100,000 neurons. Although still great, this sum is dwarfed by the billions of neurons in the brains of mammals. Furthermore, invertebrate nervous systems characteristically possess so-called identified neurons. These are neurons whose size, position, electrical properties, basic synaptic connections, and physiological and behavioral functions are more...","PeriodicalId":10493,"journal":{"name":"Cold Spring Harbor Monograph Archive","volume":"22 1","pages":"347-380"},"PeriodicalIF":0.0000,"publicationDate":"2007-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"14 Simple Minds: The Neurobiology of Invertebrate Learning and Memory\",\"authors\":\"D. Glanzman\",\"doi\":\"10.1101/087969819.49.347\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although it has been formally recognized since the end of the 19th century that invertebrates can learn (Romanes 1895), the modern neurobiological analysis of invertebrate learning did not begin until the 1960s. Starting in that decade, pioneering investigators began to use intracellular electrophysiology to probe the basic mechanisms of learning in higher invertebrates (Bruner and Tauc 1966; Kandel 1967; Krasne 1969). Initially, these studies focused on simple forms of nonassociative learning, including habituation and sensitization. However, by the early 1980s, associative learning, particularly classical conditioning, had been described in several invertebrate systems that were amenable to electrophysiological and biochemical—and, in the case of Drosophila, genetic—analyses (Takeda 1961; Henderson and Strong 1972; Mpitsos and Davis 1973; Menzel et al. 1974; Dudai et al. 1976; Crow and Alkon 1978; Chang and Gelperin 1980; Hoyle 1980; Carew et al. 1981; Lukowiak and Sahley 1981). Research on learning and memory in invertebrates during the past four decades has yielded fundamental insights into our understanding of the changes that take place within an animal’s nervous system when it learns. The major advantage of invertebrate systems for cell biological analyses of learning and memory is the relative simplicity of their nervous systems. Many higher invertebrates possess only 10,000–100,000 neurons. Although still great, this sum is dwarfed by the billions of neurons in the brains of mammals. Furthermore, invertebrate nervous systems characteristically possess so-called identified neurons. 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引用次数: 18
摘要
尽管自19世纪末以来,无脊椎动物可以学习(Romanes 1895)已被正式承认,但对无脊椎动物学习的现代神经生物学分析直到20世纪60年代才开始。从那十年开始,开创性的研究人员开始使用细胞内电生理学来探索高等无脊椎动物学习的基本机制(Bruner和Tauc 1966;坎德尔1967;Krasne 1969)。最初,这些研究集中在非联想学习的简单形式,包括习惯化和敏化。然而,到20世纪80年代初,联想学习,特别是经典条件反射,已经在一些无脊椎动物系统中被描述为符合电生理和生化的,在果蝇的情况下,遗传分析(Takeda 1961;亨德森和斯特朗1972;Mpitsos和Davis, 1973;Menzel et al. 1974;Dudai et al. 1976;Crow and Alkon 1978;Chang and Gelperin 1980;霍伊尔1980;Carew et al. 1981;Lukowiak and Sahley 1981)。在过去的四十年里,对无脊椎动物学习和记忆的研究已经为我们理解动物神经系统在学习时发生的变化提供了基本的见解。对学习和记忆进行细胞生物学分析的无脊椎动物系统的主要优势是它们的神经系统相对简单。许多高等无脊椎动物只有1万到10万个神经元。尽管这个数字仍然很大,但与哺乳动物大脑中数十亿的神经元相比,这个数字就相形见绌了。此外,无脊椎动物的神经系统具有所谓的已识别神经元的特征。这些神经元的大小、位置、电特性、基本突触连接以及生理和行为功能……
14 Simple Minds: The Neurobiology of Invertebrate Learning and Memory
Although it has been formally recognized since the end of the 19th century that invertebrates can learn (Romanes 1895), the modern neurobiological analysis of invertebrate learning did not begin until the 1960s. Starting in that decade, pioneering investigators began to use intracellular electrophysiology to probe the basic mechanisms of learning in higher invertebrates (Bruner and Tauc 1966; Kandel 1967; Krasne 1969). Initially, these studies focused on simple forms of nonassociative learning, including habituation and sensitization. However, by the early 1980s, associative learning, particularly classical conditioning, had been described in several invertebrate systems that were amenable to electrophysiological and biochemical—and, in the case of Drosophila, genetic—analyses (Takeda 1961; Henderson and Strong 1972; Mpitsos and Davis 1973; Menzel et al. 1974; Dudai et al. 1976; Crow and Alkon 1978; Chang and Gelperin 1980; Hoyle 1980; Carew et al. 1981; Lukowiak and Sahley 1981). Research on learning and memory in invertebrates during the past four decades has yielded fundamental insights into our understanding of the changes that take place within an animal’s nervous system when it learns. The major advantage of invertebrate systems for cell biological analyses of learning and memory is the relative simplicity of their nervous systems. Many higher invertebrates possess only 10,000–100,000 neurons. Although still great, this sum is dwarfed by the billions of neurons in the brains of mammals. Furthermore, invertebrate nervous systems characteristically possess so-called identified neurons. These are neurons whose size, position, electrical properties, basic synaptic connections, and physiological and behavioral functions are more...