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Neuronal Network Analysis

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Neuronal Network Analysis
Lowest price (incl. delivery)
21 464,00 JPY
Typical price3 268,59 PLN
Lowest (90 days)155,99 PLN
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Last updated1 неделю назад
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2026-08-08 2026-08-15
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2026-08-08155,99
2026-08-15155,99
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SP SpringerNatureLink Shop INT 21 449,00 JPY 15,00 JPY 21 464,00 JPY Доступно 1 неделю назад View offer
SP Springer Nature Author 21 449,00 JPY free 21 449,00 JPY Доступно 1 неделю назад View offer
SP SpringerNatureLink Shop INT 149,99 USD 29,00 USD 178,99 USD Доступно 1 неделю назад View offer
SP SpringerNatureLink Shop INT 169,99 USD 19,00 USD 188,99 USD Доступно 1 неделю назад View offer
SP SpringerNatureLink Shop INT 169,99 USD 29,00 USD 198,99 USD Доступно 1 неделю назад View offer
SP SpringerNatureLink Shop INT 169,99 USD 15,00 USD 184,99 USD Доступно 1 неделю назад View offer
SP SpringerNatureLink Shop INT 177,00 EUR 15,00 EUR 192,00 EUR Доступно 1 неделю назад View offer

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In the last few years, technologies that allow for monitoring and manipulating neuronal networks at a single cell resolution have been rapidly expanding.  In Neuronal Network Analysis: Concepts and Experimental Approaches, experts in the field provide an overview of some of the most advanced techniques for the study of neuronal circuits, highlighting current technical limitations and providing a vision of what is yet to come. Broken into six convenient, interdependent section, this volume covers optical approaches, electrophysiological approaches, both in vitro and in vivo, optogenetics, morpho-functional approaches, and neuronal network analysis in humans. As a volume in the Neuromethods series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.   Authoritative and cutting-edge, Neuronal Network Analysis: Concepts and Experimental Approaches will be useful for early career neuroscientists, as well as for experienced neuroscientists, by providing a practical framework for studying the brain as an organ while maintaining an appreciation for its cellular diversity.

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