000			02191nam a22003498i 4500
001			CR9781107447615
003			UkCbUP
005			20200124160259.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			130816s2014||||enk o ||1 0|eng|d
020			_a9781107447615 (ebook)
020			_z9781107060838 (hardback)
020			_z9781107635197 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQP363 _b.G474 2014
082	0	0	_a612.8 _223
100	1		_aGerstner, Wulfram, _eauthor.
245	1	0	_aNeuronal dynamics : _bfrom single neurons to networks and models of cognition / _cWulfram Gerstner [and three others].
264		1	_aCambridge : _bCambridge University Press, _c2014.
300			_a1 online resource (xi, 577 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_aWhat happens in our brain when we make a decision? What triggers a neuron to send out a signal? What is the neural code? This textbook for advanced undergraduate and beginning graduate students provides a thorough and up-to-date introduction to the fields of computational and theoretical neuroscience. It covers classical topics, including the Hodgkin-Huxley equations and Hopfield model, as well as modern developments in the field such as Generalized Linear Models and decision theory. Concepts are introduced using clear step-by-step explanations suitable for readers with only a basic knowledge of differential equations and probabilities, and are richly illustrated by figures and worked-out examples. End-of-chapter summaries and classroom-tested exercises make the book ideal for courses or for self-study. The authors also give pointers to the literature and an extensive bibliography, which will prove invaluable to readers interested in further study.
650		0	_aNeurobiology.
650		0	_aNeural networks (Neurobiology)
650		0	_aCognitive neuroscience.
776	0	8	_iPrint version: _z9781107060838
856	4	0	_uhttps://doi.org/10.1017/CBO9781107447615
999			_c520210 _d520208