000			03225nam a22003978i 4500
001			CR9780511665516
003			UkCbUP
005			20200124160318.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			091217s2000||||enk o ||1 0|eng|d
020			_a9780511665516 (ebook)
020			_z9780521631976 (hardback)
020			_z9780521087865 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQP363.3 _b.I54 2000
082	0	0	_a612.8/2 _221
245	0	0	_aInformation theory and the brain / _cedited by Roland Baddeley, Peter Hancock, Peter Földiák.
246	3		_aInformation Theory & the Brain
264		1	_aCambridge : _bCambridge University Press, _c2000.
300			_a1 online resource (xiii, 344 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).
505	0	0	_g1. _tIntroductory Information Theory and the Brain / _rRoland Baddeley -- _gpt. 1. _tBiological Networks. _g2. _tProblems and Solutions in Early Visual Processing / _rBrian G. Burton. _g3. _tCoding Efficiency and the Metabolic Cost of Sensory and Neural Information / _rSimon B. Laughlin, John C. Anderson and David O'Carroll / _r[and others]. _g4. _tCoding Third-Order Image Structure / _rMitchell Thompson -- _gpt. 2. _tInformation Theory and Artificial Networks. _g5. _tExperiments with Low-Entropy Neural Networks / _rGeorge Harpur and Richard Prager. _g6. _tThe Emergence of Dominance Stripes and Orientation Maps in a Network of Firing Neurons / _rStephen P. Luttrell. _g7. _tDynamic Changes in Receptive Fields Induced by Cortical Reorganization / _rGerman Mato and Nestor Parga.
520			_aInformation Theory and the Brain deals with an expanding area of neuroscience which provides a framework for understanding neuronal processing. It is derived from a conference held in Newquay, UK, where a select group of scientists from around the world met to discuss the topic. This book begins with an introduction to the basic concepts of information theory and then illustrates these concepts with examples from research over 40 years. Throughout the book, the contributors highlight current research from four different areas: 1) biological networks, 2) information theory and artificial networks, 3) information theory and psychology, 4) formal analysis. Each section includes an introduction and glossary covering basic concepts. This book will appeal to graduate students and researchers in neuroscience as well as computer scientists and cognitive scientists. Neuroscientists interested in any aspect of neural networks or information processing will find this a very useful addition to the current literature in this rapidly growing field.
650		0	_aNeural networks (Neurobiology)
650		0	_aNeural networks (Computer science)
650		0	_aInformation theory in biology.
700	1		_aBaddeley, Roland, _d1965- _eeditor.
700	1		_aHancock, Peter J. B., _d1958- _eeditor.
700	1		_aFöldiák, Peter, _d1963- _eeditor.
776	0	8	_iPrint version: _z9780521631976
856	4	0	_uhttps://doi.org/10.1017/CBO9780511665516
999			_c521650 _d521648