Dynamic-Clamp
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35 626,00 JPY
Typical price3 213,63 PLN
Lowest (90 days)218,50 PLN
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Last updated1 สัปดาห์ที่แล้ว
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Full history
2026-08-08
2026-08-15
| อัปเดตเมื่อ | ราคา |
|---|---|
| 2026-08-08 | 218,50 |
| 2026-08-15 | 262,70 |
| ผู้ขาย | Product price | Delivery | รวม | ความพร้อมจำหน่าย | Updated | |
|---|---|---|---|---|---|---|
| SP Springer Nature Author | 35 607,00 JPY | 19,00 JPY | 35 626,00 JPY | มีจำหน่าย | 1 สัปดาห์ที่แล้ว | View offer |
| SP SpringerNatureLink Shop INT | 249,00 USD | free | 249,00 USD | มีจำหน่าย | 5 วันที่แล้ว | View offer |
| SP SpringerNatureLink Shop INT | 269,00 USD | 15,00 USD | 284,00 USD | มีจำหน่าย | 5 วันที่แล้ว | View offer |
| SP SpringerNatureLink Shop INT | 269,00 USD | 15,00 USD | 284,00 USD | มีจำหน่าย | 5 วันที่แล้ว | View offer |
| SP SpringerNatureLink Shop INT | 294,00 EUR | 15,00 EUR | 309,00 EUR | มีจำหน่าย | 5 วันที่แล้ว | View offer |
ราคาและความพร้อมจำหน่ายอาจมีการเปลี่ยนแปลง อัปเดตล่าสุด: 08.08.2026 23:39.
EAN
9781441927903
Springer Nature
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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.