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Dynamic-Clamp

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Dynamic-Clamp
Lowest price (incl. delivery)
28 614,00 JPY
Typical price4 159,63 PLN
Lowest (90 days)207,99 PLN
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2026-08-08 2026-08-15
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2026-08-08207,99
2026-08-15207,99
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SP SpringerNatureLink Shop INT 28 599,00 JPY 15,00 JPY 28 614,00 JPY Dostupné před 4 dny View offer
SP Springer Nature Author 28 599,00 JPY 15,00 JPY 28 614,00 JPY Dostupné před 1 týdnem View offer
SP SpringerNatureLink Shop INT 199,99 USD free 199,99 USD Dostupné před 4 dny View offer
SP SpringerNatureLink Shop INT 219,99 USD free 219,99 USD Dostupné před 4 dny View offer
SP SpringerNatureLink Shop INT 219,99 USD 25,00 USD 244,99 USD Dostupné před 4 dny View offer
SP SpringerNatureLink Shop INT 236,00 EUR free 236,00 EUR Dostupné před 4 dny View offer

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Dynamic-clamp is a fascinating electrophysiology technique that consists of merging living neurons with computational models. The dynamic-clamp (also called “conductance injection”) allows experimentalists and theoreticians to challenge neurons (or any other type of cell) with complex conductance stimuli generated by a computer. The technique can be implemented from neural simulation environments and a variety of custom-made or commercial systems. The real-time interaction between the computer and cell also enables the design of recording paradigms with unprecedented accuracy via a computational model of the electrode. Dynamic-Clamp: From Principles to Applications contains contributions from leading researchers in the field, who investigate these paradigms at the cellular or network level, in vivo and in vitro, and in different brain regions and cardiac cells. Topics discussed include the addition of artificially-generated synaptic activity to neurons; adding, amplifying or neutralizing voltage-dependent conductances; creating hybrid networks with real and artificial cells; attaching simulated dendritic tree structures to the living cell; and connecting different neurons. This book will be of interest to experimental biophysicists, neurophysiologists, and cardiac physiologists, as well as theoreticians, engineers, and computational neuroscientists. Graduate and undergraduate students will also find up-to-date coverage of physiological problems and how they are investigated.

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