Exploration of Cortical Function summarizes recent research efforts aiming at the revelation of cortical population coding and signal processing strategies. Topics include optical detection techniques of population activity in the sub-millimeter range, advanced methods for the statistical analysis of these data, and biologically inspired neuronal modeling techniques for population activities in the frameworks of optimal coding, statistical learning theory, and mean-field recurrent networks.
Exploration of Cortical Function is unique in that it covers one complete branch of population-based brain research ranging from techniques for data acquisition over data analysis up to modeling techniques for the quantification of functional principles. The volume covers an area which is of great current interest to researchers working on cerebral cortex. The combination of models and image analysis techniques to examine the activity of large cohorts of neurons is especially intriguing and prone to considerable error and debate.
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Exploration of Cortical Function summarizes recent research efforts aiming at the revelation of cortical population coding and signal processing strategies. Topics include optical detection techniques of population activity in the sub-millimeter range, advanced methods for the statistical analysis of these data, and biologically inspired neuronal modeling techniques for population activities in the frameworks of optimal coding, statistical learning theory, and mean-field recurrent networks.
Exploration of Cortical Function is unique in that it covers one complete branch of population-based brain research ranging from techniques for data acquisition over data analysis up to modeling techniques for the quantification of functional principles. The volume covers an area which is of great current interest to researchers working on cerebral cortex. The combination of models and image analysis techniques to examine the activity of large cohorts of neurons is especially intriguing and prone to considerable error and debate.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: Bookbot, Prague, Republica Checa
Softcover. Condición: Fine. Leichte Rillen / Abschürfungen / Risse / Knicke. Exploration of Cortical Function summarizes recent research efforts aiming at the revelation of cortical population coding and signal processing strategies. Topics include optical detection techniques of population activity in the sub-millimeter range, advanced methods for the statistical analysis of these data, and biologically inspired neuronal modeling techniques for population activities in the frameworks of optimal coding, statistical learning theory, and mean-field recurrent networks. Exploration of Cortical Function is unique in that it covers one complete branch of population-based brain research ranging from techniques for data acquisition over data analysis up to modeling techniques for the quantification of functional principles. The volume covers an area which is of great current interest to researchers working on cerebral cortex. The combination of models and image analysis techniques to examine the activity of large cohorts of neurons is especially intriguing and prone to considerable error and debate. Nº de ref. del artículo: 28cb6a82-3b96-436e-9829-cbebb47ee7df
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. In. Nº de ref. del artículo: ria9781402004360_new
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Librería: Mispah books, Redhill, SURRE, Reino Unido
Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Nº de ref. del artículo: ERICA75814020043625
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Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 288. Nº de ref. del artículo: 262178112
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condición: New. Summarizes research efforts aiming at the revelation of cortical population coding and signal processing strategies. This book covers one complete branch of population-based brain research ranging from techniques for data acquisition over data analysis up to modeling techniques for the quantification of functional principles. Num Pages: 284 pages, biography. BIC Classification: MJN; MMP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 240 x 160 x 13. Weight in Grams: 491. . 2002. Softcover reprint of the original 1st ed. 2002. Paperback. . . . . Nº de ref. del artículo: V9781402004360
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Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand pp. 288 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam. Nº de ref. del artículo: 5669791
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND pp. 288. Nº de ref. del artículo: 182178122
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Librería: moluna, Greven, Alemania
Kartoniert / Broschiert. Condición: New. Exploration of Cortical Function summarizes recent research efforts aiming at the revelation of cortical population coding and signal processing strategies. Topics include optical detection techniques of population activity in the sub-mi. Nº de ref. del artículo: 4091844
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Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 1st edition. 288 pages. 9.75x6.50x0.50 inches. In Stock. Nº de ref. del artículo: x-1402004362
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
Condición: New. Summarizes research efforts aiming at the revelation of cortical population coding and signal processing strategies. This book covers one complete branch of population-based brain research ranging from techniques for data acquisition over data analysis up to modeling techniques for the quantification of functional principles. Num Pages: 284 pages, biography. BIC Classification: MJN; MMP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 240 x 160 x 13. Weight in Grams: 491. . 2002. Softcover reprint of the original 1st ed. 2002. Paperback. . . . . Books ship from the US and Ireland. Nº de ref. del artículo: V9781402004360
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