| 書(shū)目名稱(chēng) | Computational Models for Neuroscience | | 副標(biāo)題 | Human Cortical Infor | | 編輯 | Robert Hecht-Nielsen,Thomas McKenna | | 視頻video | http://file.papertrans.cn/233/232838/232838.mp4 | | 概述 | Provides a unique overview of key work in this area.Includes supplementary material: | | 圖書(shū)封面 |  | | 描述 | Formal study of neuroscience (broadly defined) has been underway for millennia. For example, writing 2,350 years ago, Aristotle! asserted that association - of which he defined three specific varieties - lies at the center of human cognition. Over the past two centuries, the simultaneous rapid advancements of technology and (conse- quently) per capita economic output have fueled an exponentially increasing effort in neuroscience research. Today, thanks to the accumulated efforts of hundreds of thousands of scientists, we possess an enormous body of knowledge about the mind and brain. Unfortunately, much of this knowledge is in the form of isolated factoids. In terms of "big picture" understanding, surprisingly little progress has been made since Aristotle. In some arenas we have probably suffered negative progress because certain neuroscience and neurophilosophy precepts have clouded our self-knowledge; causing us to become largely oblivious to some of the most profound and fundamental aspects of our nature (such as the highly distinctive propensity of all higher mammals to automatically seg- ment all aspects of the world into distinct holistic objects and the massive reorganiza- t | | 出版日期 | Book 2003 | | 關(guān)鍵詞 | artificial intelligence; brain; cerebral cortex; computational intelligence; computational neuroscience; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4471-0085-0 | | isbn_softcover | 978-1-4471-1111-5 | | isbn_ebook | 978-1-4471-0085-0 | | copyright | Springer-Verlag London 2003 |
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