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Books on the topic 'In silico neurons and synapses'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Haycock, R. J. Hardware neurons and synapses for pulse stream neural networks. UMIST, 1997.

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2

Masashi, Inoue, ed. Nyūron no seibutsu butsuri. 2nd ed. Maruzen Shuppan, 2013.

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3

Proteins, transmitters, and synapses. Blackwell Scientific Publications, 1994.

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4

Parvin, Manoucher. Out of the gray: A concerto for neurons and synapses, a novel. Ibex Publishers, 2011.

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5

1933-, Shepherd Gordon M., Black Ira B, and Killackey Herbert P, eds. Synapses, circuits, and the beginnings of memory. MIT Press, 1986.

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6

Shepherd, Gordon M. The Synaptic Organization of the Brain. Oxford University Press, 1990.

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7

1949-, Schüz A., ed. Anatomy of the cortex: Statistics and geometry. Springer-Verlag, 1991.

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8

van, Pelt J., ed. Development, dynamics, and pathology of neuronal networks: From molecules to functional circuits : proceedings of the 23rd International Summer School of Brain Research, held at the Royal Netherlands Academy of Arts and Sciences, Amsterdam, the Netherlands, from 25-29 August 2003. Elsevier, 2005.

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9

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

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10

Christof, Koch, and Segev Idan, eds. Methods in neuronal modeling: From synapses to networks. MIT Press, 1992.

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11

Koch, Christof. Methods in Neuronal Modeling: From Synapses to Networks (Computational Neuroscience). Bradford Book, 1989.

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12

1956-, Koch Christof, and Segev Idan, eds. Methods in neuronal modeling: From synapses to networks. MIT Press, 1989.

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13

Shepherd, Gordon M. The Synaptic Organization of the Brain. Oxford University Press, USA, 2003.

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14

Shepherd, Gordon M. The Synaptic Organization of the Brain. 5th ed. Oxford University Press, USA, 2003.

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15

The synaptic organization of the brain. 5th ed. Oxford University Press, 2003.

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16

1933-, Shepherd Gordon M., and Shepherd Gordon M. 1933-, eds. The Synaptic organization of the brain. 3rd ed. Oxford University Press, 1990.

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17

Sajikumar, Sreedharan. Synaptic Tagging and Capture: From Synapses to Behavior. Springer, 2016.

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18

Sajikumar, Sreedharan. Synaptic Tagging and Capture: From Synapses to Behavior. Springer, 2014.

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19

B, Levy William, Anderson James A, and Lehmkuhle Stephen W. 1951-, eds. Synaptic modification, neuron selectivity, and nervous system organization. L. Erlbaum Associates, 1985.

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20

R, Baylog Louis, ed. Dendritic spines biochemistry, modeling and properties. Nova Science Publishers, 2009.

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21

1933-, Shepherd Gordon M., ed. The synaptic organization of the brain. 4th ed. Oxford University Press, 1998.

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22

W, Winlow, ed. Neuronal communications. Manchester University Press, 1990.

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23

Schuz, A., and V. Braitenburg. Anatomy of the Cortex: Statistics and Geometry (Studies of Brain Function). Springer-Verlag, 1991.

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24

A, Wernig, ed. Plasticity of motoneuronal connections. Elsevier, 1991.

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25

Beninger, Richard J. Neuroanatomy and dopamine systems. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198824091.003.0011.

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Neuroanatomy and dopamine systems explains how sensory signals ascend the central nervous system via a series of nuclei; axons detecting specific elements converge onto higher-order neurons that respond to particular stimulus features. Assemblies of feature-detection cells in the cerebral cortex detect complex stimuli such as faces. These cell assemblies project to motor nuclei of the dorsal and ventral striatum where they terminate on dendritic spines of efferent medium spiny neurons. Dopaminergic projections from ventral mesencephalic nuclei terminate on the same spines. Individual corticost

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26

Sabera, Ruzdijic, and Rakić Ljubiša, eds. Neurobiological studies: From genes to behaviour. Research Signpost, 2006.

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27

Beninger, Richard J. Mechanisms of dopamine-mediated incentive learning. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198824091.003.0012.

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Mechanisms of dopamine-mediated incentive learning explains how sensory events, resulting from an animal’s movement and the environment, activate cortical glutamatergic projections to dendritic spines of striatal medium spiny neurons to initiate a wave of phosphorylation. If no rewarding stimulus is encountered, a subsequent wave of phosphatase activity undoes the phosphorylation. If a rewarding stimulus is encountered, dopamine initiates a cascade of events in D1 receptor-expressing medium spiny neurons that may prevent the phosphatase effects and work synergistically with signaling events pr

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28

Phase Response Curves In Neuroscience Theory Experiment And Analysis. Springer, 2011.

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29

Koch, Christof. Biophysics of Computation. Oxford University Press, 1998. http://dx.doi.org/10.1093/oso/9780195104912.001.0001.

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Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenges this notion, using richly detailed experimental and theoretical findings from cellular biophysics to explain the repertoire of computational functions available to single neurons. The author shows how individual nerve cells can multiply, integrate, or delay synaptic inputs and how information can b

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30

Stafstrom, Carl E. Disorders Caused by Botulinum Toxin and Tetanus Toxin. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199937837.003.0156.

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Anaerobic organisms of the genus Clostridia (C) can cause significant human disease. Exotoxins secreted by C botulinum and C tetani cause botulism and tetanus, respectively (summarized in Table 156.1). Botulinum neurotoxin causes neuromuscular blockade by interfering with vesicular acetylcholine release, leading to cholinergic blockade at the neuromuscular junctions of skeletal muscle, and consequently, symmetric flaccid paralysis. Tetanus toxin prevents release of inhibitory neurotransmitters at central synapses, leading to overactivity of motor neurons and muscle rigidity and spasms. This ch

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31

Hopkins, Philip M. Neuromuscular physiology in anaesthetic practice. Edited by Jonathan G. Hardman. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0007.

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The pharmacological interventions that constitute general anaesthesia are targeted at producing unconsciousness and an immobile patient even in response to noxious stimuli. Surgical anaesthesia also requires skeletal muscle relaxation, the degree of which depends on the site and nature of the surgical procedure. The anaesthetist therefore needs an advanced level of knowledge and understanding of the function of nerves, synapses, and muscle in order to understand, from first principles, how the drugs they use every day mediate their effects. Nerves and muscle cells are termed excitable cells be

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32

(Editor), J. van Pelt, M. Kamermans (Editor), C. N. Levelt (Editor), A. van Ooyen (Editor), G.J.A. Ramakers (Editor), and P. R. Roelfsema (Editor), eds. Development, Dynamics and Pathology of Neuronal Networks: From Molecules to Functional Circuits, Volume 147 (Progress in Brain Research). Elsevier Science, 2004.

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33

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

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34

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

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