The discovery of a space suit containing an ancient human skeleton prompts the discovery of the existence of the culture of Thuria, a giant race of humanoids, as well as other multiple universes.
What Maisie Knew (1897) represents one of James's finest reflections on the rites of passage from wonder to knowledge, and the question of their finality. The child of violently divorced parents, Maisie Farange opens her eyes on a distinctly modern world. Mothers and fathers keep changing their partners and names, while she herself becomes the pretext for all sorts of adult sexual intrigue. In this classic tale of the death of childhood, there is a savage comedy that owes much to Dickens. But for his portrayal of the child's capacity for intelligent `wonder', James summons all the subtlety he devotes elsewhere to his most celebrated adult protagonists. Neglected and exploited by everyone around her, Maisie inspires James to dwell with extraordinary acuteness on the things that may pass between adult and child. In addition to a new introduction, this edition of the novel offers particularly detailed notes, bibliography, and a list of variant readings. ABOUT THE SERIES: For over 100 years Oxford World's Classics has made available the widest range of literature from around the globe. Each affordable volume reflects Oxford's commitment to scholarship, providing the most accurate text plus a wealth of other valuable features, including expert introductions by leading authorities, helpful notes to clarify the text, up-to-date bibliographies for further study, and much more.
This volume consists of 82 classic and important contributions to the basic neurobiology of learning and memory. Included are historical articles as well as articles on developmental plasticity, hormones and memory, long-term potentiation, electrophysiology of memory, biochemistry of memory, morphology of memory, invertebrate models, and features of animal and human memory. This is a companion volume to Brain Theory Reprint Volume in which articles on mathematical models of memory are presented.
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