Modeling and Parameter Estimation in Respiratory Control

Name: Modeling and Parameter Estimation in Respiratory Control
Brand: Springer-Verlag New York Inc.
SKU: 9781461278962
Price: 38290 HUF
Availability: InStock

Szerző: M.C.K. Khoo

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten

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Experimentalists tend to revel in the complexity and multidimensionality of biological processes. Mo...

Információk a könyvről

Szerző

M.C.K. Khoo

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2011

oldal

220

EAN

9781461278962

ISBN

1461278961

Enbook ID

02174504

Kiadó

Springer-Verlag New York Inc.

Súly

402

Méretek

170 x 244 x 13

Teljes leírás

Experimentalists tend to revel in the complexity and multidimensionality of biological processes. Modelers, on the other hand, generally look towards parsimony as a guiding prin ciple in their approach to understanding physiological systems. It is therefore not surprising that a substantial degree of miscommunication and misunderstanding still exists between the two groups of truth-seekers. However, there have been numerous instances in physiology where the marriage of mathematical modeling and experimentation has led to powerful in sights into the mechanisms being studied. Respiratory control represents one area in which this kind of cross-pollination has proven particularly fruitful. While earlier modeling ef forts were directed primarily at the chemical control of ventilation, more recent studies have extended the scope of modeling to include the neural and mechanical aspects pertinent to respiratory control. As well, there has been a greater awareness of the need to incorpo rate interactions with other organ systems. Nevertheless, it is necessary from time to time to remind experimentalists of the existence of modelers, and vice versa. The 4th Annual Biomedical Simulations Resource (BMSR) Short Course was held in Marina Del Rey on May 21-22,1989, to acquaint respiratory physiologists and clinical researchers with state-of-the art methodologies in mathematical modeling, experiment design and data analysis, as well as to provide an opportunity for experimentalists to challenge modelers with their more recent findings.

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Modeling and Parameter Estimation in Respiratory Control

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