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008			170209s2017 ja o 000 0 eng d
020			_a4431564691 _q(electronic bk.)
020			_a9784431564690 _q(electronic bk.)
020			_z4431564675
020			_z9784431564676 _q(print)
035			_a(OCoLC)971891157 _z(OCoLC)972231186 _z(OCoLC)972421307 _z(OCoLC)972588583 _z(OCoLC)972768927 _z(OCoLC)972943828 _z(OCoLC)973079195 _z(OCoLC)981773268 _z(OCoLC)1005838268 _z(OCoLC)1011950478
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050		4	_aQP376 _b.B735 2017 EB
245	0	0	_aBrain evolution by design : _bfrom neural origin to cognitive architecture _cShuichi Shigeno, Yasunori Murakami, Tadashi Nomura, editors.
264		1	_aTokyo, Japan _bSpringer _c[2017]
300			_a1 recurso en línea
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aDiversity and commonality in animals
500			_aSpringerLink _bSpringer Biomedical and Life Sciences eBooks 2017 English+International
505	0		_aPreface; Contents; Part I The Origins of Neurons and Networks; 1 Physical Ethology of Unicellular Organisms; 1.1 Introduction; 1.2 Anticipatory and Recall Behaviour in Response to Periodic Stimulation in the Plasmodia of Physarum polycephalum; 1.2.1 Overview and Background; 1.2.2 Materials and Methods; 1.2.3 Results; 1.2.4 Discussion; 1.3 Electric Control of Behaviour in Paramecium; 1.3.1 Paramecium Model; 1.4 Comparative Remarks in Single-Celled Organisms and Higher Organisms; References; 2 Molecular Characteristics of Neuron-like Functions in Single-Cell Organisms.
505	8		_a2.1 What is a "Neuron-like" Function?2.2 Neuron-like Functions in Prokaryotes; 2.2.1 Swimming Behaviors in Bacteria; 2.2.2 Sensory and Motor Systems in Bacteria; 2.2.3 Exploring the CPU in E. coli; 2.2.4 Che Proteins Are Components of the CPU in E. coli; 2.2.5 Is the Bacterial CPU Common to Eukaryotes?; 2.3 Neuron-like Functions in Eukaryotes; 2.3.1 What Happens in Eukaryotic Single-Cell Organisms?; 2.3.2 Swimming Behaviors and Chemotaxis in Paramecium; 2.3.3 Regulation of Behaviors During Chemotaxis in Paramecia; 2.3.4 Sensory System and Motor Apparatus.
505	8		_a2.3.5 The Molecular Mechanisms Bridging Receptors and Cilia in Paramecium2.3.6 Memory and Learning in Ciliates; 2.3.7 Neurotransmitters and Hormones in Ciliates; 2.3.8 Serotonin Is Involved in Physiological Functions in Tetrahymena; 2.4 Are Neuron-like Functions in Single-Cell Organisms an Indication of Emotion or Mind?; References; 3 Back Through Time: How Cnidarians and Basal Metazoans Shed Light on Ancient Nervous Systems; 3.1 Introduction; 3.2 Neural Gene Repertoires in Basal Metazoans; 3.2.1 Poriferans; 3.2.2 Placozoans; 3.2.3 Ctenophores.
505	8		_a3.2.4 Protoneurons: An Ancestral Neurosecretory Cells?3.3 Cnidarian Nervous Systems; 3.3.1 Peptidergic Nervous Systems; 3.3.2 Classical Chemical Neurotransmitters; 3.3.3 Nonneural Functions of Classical Transmitters; 3.3.4 Electrical Synapses and Gap Junctions; 3.4 Anatomical and Physiological Features of the Cnidarian Nervous System; 3.4.1 Aboral Nervous Systems and Apical Sensory Organs; 3.4.2 Oral/Pharyngeal Nervous Systems; 3.5 Development of Cnidarian Nervous Systems; 3.6 Outlook; References; Part II The Rise of Diverse Brain Types.
505	8		_a4 Functional Specification of a Primitive Bilaterian Brain in Planarians4.1 What Is a Planarian?; 4.2 Structural and Cellular Aspects of the Planarian Brain; 4.3 Ongoing Search for Neural Stem Cells and Glial Cells in Planarians; 4.4 Neural Pathways in the Brain Regulating Behaviors in Planarians; 4.5 Higher Brain Function in Planarians; 4.6 Evolutionarily Early Binocular Visual System in Planarians; 4.7 Evolutionary Implications of ndk Function; 4.8 Conclusions and Future Prospects; References.
520	3		_aThis book presents a new, detailed examination that explains how elegant brains have been shaped in evolution. It consists of 19 chapters written by academic professionals in neuroscience, opening with the origin of single-celled creatures and then introducing primordial types in invertebrates with the great abundance of the brains of vertebrates. Important topics are provided in a timely manner, because novel techniques emerged rapidlyℓ́ℓas seen, for examples, in the next-generation sequencers and omics approaches. With the explosion of big data, neural-related genes and molecules is now on the radar. In fact, Europeℓ́ℓs big science and technology projects, a ℓ́Ơ1 billion plan called the Human Brain Project and the Blue Brain Project to understand mammalian brain networks, have been launched in recent years. Furthermore, with the rise of recently advanced artificial intelligence, there is great enthusiasm for understanding the evolution of neural networks. The views from brain evolution in nature provide an essential opportunity to generate ideas for novel neuron- and brain-inspired computation. The ambition behind this book is that it will stimulate young scientists who seek a deeper understanding in order to find the basic principles shaping brains that provided higher cognitive functions in the course of evolution.
650		7	_aCerebro _xEvolution. _2embne _0(OCoLC)fst00837627 _0 _9139532
700	1		_aMurakami, Yasunori, _eeditor literario
700	1		_aNomura, Tadashi, _eeditor literario
700	1		_aShigeno, Shuichi, _eeditor literario
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-4-431-56469-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017B
998			_b02/2018 _dz _e- _zSI
999			_c95344 _d95344 _x1