000			03453cam a2200385 a 4500
001			24110588
003			APU
005			20150821112130.0
008			910718s1992 maua b 001 0 eng
010			_a 91028056
015			_aGB92-39004
020			_a9780262531207 (pbk.)
040			_aDNLM/DLC _beng _cDLC _dSARA _dSUE
050	0	0	_aQP356 _b.C48 1992
082	0	0	_a612.820113 _221 _bCHU 1992
100	1		_aChurchland, Patricia Smith. _916962
245	1	4	_aThe computational brain / _cPatricia S. Churchland and Terrence J. Sejnowski.
260			_aCambridge, Mass. : _bMIT Press, _cc1992.
300			_axi, 544 p. : _bill. ; _c27 cm.
490	1		_aComputational neuroscience.
500			_a"A Bradford book."
504			_aIncludes bibliographical references (p. [479]-523) and index.
505	0		_aNeuroscience overview -- computational overview -- Representing the world -- Plasticity: cells, circuits, brains, and behavior -- Sensorimotor integration.
520	1		_a"How do groups of neurons interact to enable the organism to see, decide, and move appropriately? What are the principles whereby networks of neurons represent and compute? These are the central questions probed by The Computational Brain. Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience, examine a diverse range of neural network models, and consider future directions of the field. The Computational Brain is the first unified and broadly accessible book to bring together computational concepts and behavioral data within a neurobiological framework." "Computer models constrained by neurobiological data can help reveal how networks of neurons subserve perception and behavior--how their physical interactions can yield global results in perception and behavior, and how their physical properties are used to code information and compute solutions. The Computational Brain focuses mainly on three domains: visual perception, learning and memory, and sensorimotor integration. Examples of recent computer models in these domains are discussed in detail, highlighting strengths and weaknesses, and extracting principles applicable to other domains. Churchland and Sejnowski show how both abstract models and neurobiologically realistic models can have useful roles in computational neuroscience, and they predict the coevolution of models and experiments at many levels of organization, from the neuron to the system."
520	8		_a"The Computational Brain addresses a broad audience: neuroscientists, computer scientists, cognitive scientists, and philosophers. It is written for both the expert and novice. A basic overview of neuroscience and computational theory is provided, followed by a study of some of the most recent and sophisticated modeling work in the context of relevant neurobiological research. Technical terms are clearly explained in the text, and definitions are provided in an extensive glossary. The appendix contains a précis of neurobiological techniques."--Jacket.
650		0	_aBrain _xComputer simulation. _916963
650		0	_aNeural networks (Neurobiology) _916964
650		2	_aBrain _xphysiology. _916955
650		2	_aComputer Simulation. _9513
650		2	_aModels, Neurological. _916965
650		2	_aNeurosciences _xmethods. _916966
700	1		_aSejnowski, Terrence J. _q(Terrence Joseph) _916967
830		0	_aComputational neuroscience. _916968
942			_2lcc _cBook
999			_c8924 _d8924