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Titlebook: Synaptic Tagging and Capture; From Synapses to Beh Sreedharan Sajikumar Book 20151st edition The Editor(s) (if applicable) and The Author(s

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書目名稱Synaptic Tagging and Capture
副標(biāo)題From Synapses to Beh
編輯Sreedharan Sajikumar
視頻videohttp://file.papertrans.cn/885/884089/884089.mp4
概述Comprehensive introduction to the synaptic tagging and capture hypothesis ?.Provides in depth foundation for beginners in the field.Covers both the cellular and with metaplastic and behavioral views o
圖書封面Titlebook: Synaptic Tagging and Capture; From Synapses to Beh Sreedharan Sajikumar Book 20151st edition The Editor(s) (if applicable) and The Author(s
描述.Serves as a comprehensive introduction and overview of synaptic tagging and capture (STC) and covers the topic from molecular and cellular aspects to behavior.? Circa 15 years ago the STC model was proposed to provide a conceptual basis for how short-term memories are transformed into long-term memories. Though the hypothesis remains unconfirmed due to technological limitations, the model is well consolidated and generally accepted in the field. Various researchers have investigated the cellular mechanisms for the formation of long-term memory using the STC model, but this is the first book-length treatments of STC. This volume features an introduction by Prof. Richard Morris and Prof. Cliff Abraham. .
出版日期Book 20151st edition
關(guān)鍵詞hippocampus; long-term depression; long-term potentiation; synaptic capture; synaptic plasticity; synapti
版次1
doihttps://doi.org/10.1007/978-1-4939-1761-7
isbn_softcover978-1-4939-5537-4
isbn_ebook978-1-4939-1761-7
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines
The information of publication is updating

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Alan Jung Park,Ted Abel actuators necessary for the control. This paper focuses on placement and shaping methods for distributed parameter structures, such as plates and shells. The methods are based on a modal representation of the structural vibration. According to the standards of control theory and signal processing t
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