000 | 03531nam a22005055i 4500 | ||
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001 | 978-3-031-01628-8 | ||
003 | DE-He213 | ||
005 | 20240730164214.0 | ||
007 | cr nn 008mamaa | ||
008 | 220601s2009 sz | s |||| 0|eng d | ||
020 |
_a9783031016288 _9978-3-031-01628-8 |
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024 | 7 |
_a10.1007/978-3-031-01628-8 _2doi |
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100 | 1 |
_aTranquillo, Joseph. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _982895 |
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245 | 1 | 0 |
_aQuantitative Neurophysiology _h[electronic resource] / _cby Joseph Tranquillo. |
250 | _a1st ed. 2009. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2009. |
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300 |
_aXVI, 144 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aSynthesis Lectures on Biomedical Engineering, _x1930-0336 |
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505 | 0 | _aPreface -- Neural Anatomy -- Passive Membranes -- Active Membranes -- Propagation -- Neural Branches -- Synapses -- Networks of Neurons -- Extracellular Recording and Stimulation -- The Neural Code -- Applications -- Biography -- Index. | |
520 | _aQuantitative Neurophysiology is supplementary text for a junior or senior level course in neuroengineering. It may also serve as an quick-start for graduate students in engineering, physics or neuroscience as well as for faculty interested in becoming familiar with the basics of quantitative neuroscience. The first chapter is a review of the structure of the neuron and anatomy of the brain. Chapters 2-6 derive the theory of active and passive membranes, electrical propagation in axons and dendrites and the dynamics of the synapse. Chapter 7 is an introduction to modeling networks of neurons and artificial neural networks. Chapter 8 and 9 address the recording and decoding of extracellular potentials. The final chapter has descriptions of a number of more advanced or new topics in neuroengineering. Throughout the text, vocabulary is introduced which will enable students to read more advanced literature and communicate with other scientists and engineers working in the neurosciences. Numerical methods are outlined so students with programming knowledge can implement the models presented in the text. Analogies are used to clarify topics and reinforce key concepts. Finally, homework and simulation problems are available at the end of each chapter. Table of Contents: Preface / Neural Anatomy / Passive Membranes / Active Membranes / Propagation / Neural Branches / Synapses / Networks of Neurons / Extracellular Recording and Stimulation / The Neural Code / Applications / Biography / Index. | ||
650 | 0 |
_aEngineering. _99405 |
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650 | 0 |
_aBiophysics. _94093 |
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650 | 0 |
_aBiomedical engineering. _93292 |
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650 | 1 | 4 |
_aTechnology and Engineering. _982898 |
650 | 2 | 4 |
_aBiophysics. _94093 |
650 | 2 | 4 |
_aBiomedical Engineering and Bioengineering. _931842 |
710 | 2 |
_aSpringerLink (Online service) _982900 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031005008 |
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_iPrinted edition: _z9783031027567 |
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_aSynthesis Lectures on Biomedical Engineering, _x1930-0336 _982901 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-01628-8 |
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