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Libros sobre el tema "Neurones humains"

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Autor: Grafiati
Publicado: 18 de mayo de 2024
Última modificación: 15 de junio de 2024

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1

National Institute for Occupational Safety and Health. Division of Safety Research, ed. Performing motor and sensory neuronal conduction studies in adult humans. [Cincinnati, Ohio?]: U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control, National Institute for Occupational Safety and Health, Division of Safety Research, 1990.

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2

Notre humanité: D'Aristote à l'homme neuronal. [Paris]: Fayard, 2010.

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3

Neurosis and human growth: The struggle toward self-realization. New York: Norton, 1991.

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4

I of the vortex: From neurons to self. Cambridge, Mass: MIT Press, 2001.

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5

1951-, Miles Richard, ed. Neuronal networks of the hippocampus. Cambridge: Cambridge University Press, 1991.

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6

Entretiens de Lyon (2nd 1990 Ecole normale supérieure de Lyon). Neural networks: Biological computers or electronic brains = Les réseaux de neurones : ordinateurs biologiques ou cerveaux électroniques. Paris: Springer-Verlag, 1990.

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7

Braitenberg, Valentino. Cortex: Statistics and geometry of neuronal connectivity. 2a ed. Berlin: Springer, 1998.

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8

Krajina, Ladislav. Jsme lepší než zvířata?: Přirozenost člověka a jeho naděje na přežití. Olomouc: Votobia, 1999.

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9

Kjell, Fuxe y Wenner-Grenska samfundet, eds. Trophic regulation of the basal ganglia: Focus on dopamine neurons. Oxford, OX, UK: Pergamon, 1994.

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10

H, Bush Brian M., Clarac François y Society for Experimental Biology (Great Britain). Neurobiology Group., eds. Coordination of motor behaviour. Cambridge [Cambridgeshire]: Cambridge University Press, 1985.

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11

1956-, Koch Christof y Segev Idan, eds. Methods in neuronal modeling: From ions to networks. 2a ed. Cambridge, Mass: MIT Press, 1998.

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12

IBRO Symposium (1991 Paris, France). Muscle afferents and spinal control of movement. Oxford: Pergamon Press, 1992.

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13

G, Waxman Stephen, Kocsis Jeffery D y Stys Peter K, eds. The axon: Structure, function, and pathophysiology. New York: Oxford University Press, 1995.

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14

The throwing madonna: Essays on the brain. New York: Bantam Books, 1991.

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15

Eggermont, Jos J. The Correlative Brain: Theory and Experiment in Neural Interaction. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990.

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16

Nguyen, Peter V. Multidisciplinary tools for investigating synaptic plasticity. New York: Humana Press, 2013.

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17

Nieder, Andreas. Neuronal Correlates of Non-verbal Numerical Competence in Primates. Editado por Roi Cohen Kadosh y Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.027.

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Non-verbal numerical competence, such as the estimation of set size, is rooted in biological primitives that can also be explored in animals. Over the past years, the anatomical substrates and neuronal mechanisms of numerical cognition in primates have been unravelled down to the level of single neurons. Studies with behaviourally-trained monkeys have identified a parietofrontal network of individual neurons selectively tuned to the number of items (cardinal aspect) or the rank of items in a sequence (ordinal aspect). The properties of these neurons’ numerosity tuning curves can explain fundamental psychophysical phenomena, such as the numerical distance and size effect. Functionally overlapping groups of parietal neurons represent not only numerable-discrete quantity (numerosity), but also innumerable-continuous quantity (extent) and relations between quantities (proportions), supporting the idea of a generalized magnitude system in the brain. Moreover, many neurons in the prefrontal cortex establish semantic associations between signs and abstract numerical categories, a neuronal precursor mechanisms that may ultimately give rise to symbolic number processing in humans. These studies establish putative homologies between the monkey and human brain, and demonstrate the suitability of non-human primates as model system to explore the neurobiological roots of the brain’s non-verbal quantification system, which may constitute the phylogenetic and ontogenetic foundation of all further, more elaborate numerical skills in humans.
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18

Fricker, Desdemona, Mathieu Beraneck, Michele Tagliabue y K. J. Jeffery, eds. Coding for Spatial Orientation in Humans and Animals: Behavior, Circuits and Neurons. Frontiers Media SA, 2020. http://dx.doi.org/10.3389/978-2-88966-036-0.

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19

Fricker, Desdemona, Mathieu Beraneck, Michele Tagliabue y K. J. Jeffery, eds. Coding for Spatial Orientation in Humans and Animals: Behavior, Circuits and Neurons, 2nd Edition. Frontiers Media SA, 2021. http://dx.doi.org/10.3389/978-2-88966-430-6.

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20

Nat, Roxana y Andreas Eigentler. Cell Culture, iPS Cells and Neurodegenerative Diseases. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190233563.003.0013.

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Somatic reprogramming technology, which enables the conversion of adult human non-neural cells into neurons, has progressed rapidly in recent years. The derivation of patient-specific induced pluripotent stem (iPS) cells has become routine. The inherent broad differentiation potential of iPS cells makes possible the generation of diverse types of human neurons. This constitutes a remarkable step in facilitating the development of more appropriate and comprehensive preclinical human disease models, as well as for high throughput drug screenings and cell therapy. This chapter reviews recent progress in the human iPS cell culture models related to common and rare NDDs, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, amyotrophic lateral sclerosis, spinal muscular atrophy, and degenerative ataxias. It focuses on the pathophysiological features revealed in cell cultures, and the neuronal subtypes most affected in NDDs. The chapter discusses the validity, limitation, and improvements of this system in faithfully and reproducibly recapitulating disease pathology.
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21

Uttal, W. R. Cellular Neurophysiology and Integration: An Interpretive Introduction. Taylor & Francis Group, 2014.

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22

Uttal, W. R. Cellular Neurophysiology and Integration: An Interpretive Introduction. Taylor & Francis Group, 2014.

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23

Wainger, Brian J. Amyotrophic Lateral Sclerosis. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199937837.003.0028.

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Mouse and cellular models of ALS including stem cells have revealed tremendous insight into the molecular processes that lead to ALS. Models of ALS and other neurodegenerative diseases have led to emergent molecular themes that span several diseases. Future models must account for neuronal subtype specificity of different neurodegenerative diseases, particularly between tightly related diseases such as FTD and ALS. Human iPSC-derived motor neurons offer promise both with regard to the use of human cells and in particular the ability to model sporadic disease, which is critically important given the overwhelming abundance of sporadic disease in ALS and other neurodegenerative diseases.
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24

Levine, Michael S., Elizabeth A. Wang, Jane Y. Chen, Carlos Cepeda y Véronique M. André. Altered Neuronal Circuitry. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199929146.003.0010.

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In mouse models of Huntington’s disease (HD), synaptic alterations in the cerebral cortex and striatum are present before overt behavioral symptoms and cell death. Similarly, in HD patients, it is now widely accepted that early deficits can occur in the absence of neural atrophy or overt motor symptoms. In addition, hyperkinetic movements seen in early stages are followed by hypokinesis in the late stages, indicating that different processes may be affected. In mouse models, such behavioral alterations parallel complex biphasic changes in glutamate-mediated excitatory, γ‎-aminobutyric acid (GABA)-mediated inhibitory synaptic transmission and dopamine modulation in medium spiny neurons of the striatum as well as in cortical pyramidal neurons. The progressive electrophysiologic changes in synaptic communication that occur with disease stage in the cortical and basal ganglia circuits of HD mouse models strongly indicate that therapeutic interventions and strategies in human HD must be targeted to different mechanisms in each stage and to specific subclasses of neurons.
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25

Markov, Aleksandr. The Evolution of Man. Book 2: Monkey, Neurons and Soul. Astrel, 2012.

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26

Greenwood, Priscilla E. y Lawrence M. Ward. Stochastic Neuron Models. Springer London, Limited, 2016.

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27

Stochastic Neuron Models. Springer, 2016.

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28

The Dynamic Neuron. The MIT Press, 2002.

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29

Gottlieb, Jacqueline. Neuronal Mechanisms of Attentional Control. Editado por Anna C. (Kia) Nobre y Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.033.

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Damage to the human inferior parietal lobe produces an attentional disturbance known as contralateral neglect, and neurophysiological studies in monkeys have begun to unravel the cellular basis of this function. Converging evidence suggests that LIP encodes a sparse topographic map of the visual world that highlights attention-worthy objects or locations. LIP cells may facilitate sensory attentional modulations, and ultimately the transient improvement in perceptual thresholds that is the behavioural signature of visual attention. In addition, LIP projects to oculomotor centres where it can prime the production of a rapid eye movement (saccade). Importantly, LIP cells can select visual targets without triggering saccades, showing that they implement an internal (covert) form of selection that can be flexibly linked with action by virtue of additional, independent mechanisms. The target selection response in LIP is modulated by bottom-up factors and by multiple task-related factors. These modulations are likely to arise through learning and may reflect a multitude of computations through which the brain decides when and to what to attend.
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30

Morse, Stephen J. The Neuroscientific Non-Challenge to Meaning, Morals, and Purpose. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190460723.003.0018.

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Stephen J. Morse argues that neuroscience raises no new challenges for the existence, source, and content of meaning, morals, and purpose in human life, nor for the robust conceptions of agency and autonomy underpinning law and responsibility. Proponents of revolutionizing the law and legal system make two arguments. The first appeals to determinism and the person as a “victim of neuronal circumstances” (VNC) or “just a pack of neurons” (PON). The second defend “hard incompatibilism. ” Morse reviews the law’s psychology, concept of personhood, and criteria for criminal responsibility, arguing that neither determinism nor VNC/PON are new to neuroscience and neither justifies revolutionary abandonment of moral and legal concepts and practices evolved over centuries in both common law and civil law countries. He argues that, although the metaphysical premises for responsibility or jettisoning it cannot be decisively resolved, the hard incompatibilist vision is not normatively desirable even if achievable.
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31

Brocke, Jan vom, Fred D. Davis, René Riedl, Pierre-Majorique Léger y Adriane Randolph. Information Systems and Neuroscience: NeuroIS Retreat 2021. Springer International Publishing AG, 2021.

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32

Brocke, Jan vom, Fred D. Davis, René Riedl, Pierre-Majorique Léger y Adriane Randolph. Information Systems and Neuroscience: NeuroIS Retreat 2020. Springer International Publishing AG, 2020.

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33

Brocke, Jan vom, Fred D. Davis, René Riedl, Pierre-Majorique Léger, Adriane Randolph y Thomas Fischer. Information Systems and Neuroscience: NeuroIS Retreat 2019. Springer, 2019.

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34

Brocke, Jan vom, Fred D. Davis, René Riedl, Pierre-Majorique Léger y Adriane Randolph. Information Systems and Neuroscience: NeuroIS Retreat 2022. Springer International Publishing AG, 2022.

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35

Brocke, Jan vom, Fred D. Davis, René Riedl, Pierre-Majorique Léger y Adriane B. Randolph. Information Systems and Neuroscience: NeuroIS Retreat 2018. Springer, 2018.

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36

Trigant, Burrow Trigant. Neurosis of Man: An Introduction to a Science of Human Behaviour. Taylor & Francis Group, 2013.

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37

Trigant, Burrow Trigant. Neurosis of Man: An Introduction to a Science of Human Behaviour. Taylor & Francis Group, 2013.

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38

Trigant, Burrow Trigant. Neurosis of Man: An Introduction to a Science of Human Behaviour. Taylor & Francis Group, 2013.

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39

Trigant, Burrow Trigant. Neurosis of Man: An Introduction to a Science of Human Behaviour. Taylor & Francis Group, 2014.

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40

Trigant, Burrow Trigant. Neurosis of Man: An Introduction to a Science of Human Behaviour. Taylor & Francis Group, 2013.

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41

Neuronal Networks of the Hippocampus. Cambridge University Press, 2008.

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42

Traub, Roger D. y Richard Miles. Neuronal Networks of the Hippocampus. Cambridge University Press, 2012.

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43

Neural networks: Biological computers or electronic brains = Les reseaux de neurones : Ordinateurs biologiques ou cerveaux electroniques. Springer-Verlag, 1990.

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44

Braitenberg, Valentino y Almut Schüz. Cortex: Statistics and Geometry of Neuronal Connectivity. Springer London, Limited, 2013.

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45

Braitenberg, Valentino. Cortex: Statistics and Geometry of Neuronal Connectivity. Springer, 2012.

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46

Braitenberg, Valentino y Almut Schüz. Cortex: Statistics and Geometry of Neuronal Connectivity. 2a ed. Springer, 1998.

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47

Brocke, Jan vom, Fred D. Davis, René Riedl, Pierre-Majorique Léger y Adriane B. Randolph. Information Systems and Neuroscience: Gmunden Retreat on NeuroIS 2017. Springer, 2017.

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48

Brocke, Jan vom, Fred D. Davis, René Riedl, Pierre-Majorique Léger y Adriane B. Randolph. Information Systems and Neuroscience: Gmunden Retreat on NeuroIS 2016. Springer London, Limited, 2016.

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49

Brocke, Jan vom, Fred D. Davis, René Riedl, Pierre-Majorique Léger y Adriane B. Randolph. Information Systems and Neuroscience: Gmunden Retreat on NeuroIS 2016. Springer, 2016.

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50

Brocke, Jan vom, Fred D. Davis, René Riedl, Pierre-Majorique Léger y Adriane B. Randolph. Information Systems and Neuroscience: Gmunden Retreat on NeuroIS 2015. Springer, 2015.

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