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009			154239259
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010			_a9780521877954 _brel.
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090			_a13313
099			_tOUVR _zALEX25870
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101	0		_aeng _2639-2
102			_aGB
105			_aa a 001yy
106			_ar
181			_6z01 _ctxt _2rdacontent
181		1	_6z01 _ai# _bxxxe##
182			_6z01 _cn _2rdamedia
182		1	_6z01 _an
200	1		_aPrinciples of computational modelling in neuroscience _fDavid Sterratt,... Bruce Graham,... Andrew Gillies,... [et al.]
210			_aCambridge _aNew York _cCambridge University Press _d2011, cop. 2011
215			_a1 vol. (XI-390 p.) _cill., couv. ill. en coul. _d26 cm
300			_aMachine generated contents note: Preface; 1. Introduction; 2. The basis of electrical activity in the neuron; 3. The Hodgkin Huxley model of the action potential; 4. Compartmental models; 5. Models of active ion channels; 6. Intracellular mechanisms; 7. The synapse; 8. Simplified models of neurons; 9. Networks; 10. The development of the nervous system; Appendix A. Resources; Appendix B. Mathematical methods; References
305			_aAutre tirage : 2014
320			_aBibliogr. p. [351]-381. Index
606			_aComputational neuroscience _2lc
606			_3056563906 _aNeurosciences _2rameau
676			_a612.801/13 _v22
680			_aQP357.5 _b.P75 2011
686			_aJ.3 _2acm
700		1	_aSterratt _bDavid _4070
701		1	_3034022384 _aGraham _bBruce _4070
701		1	_aGillies _bAndrew _4070