Мозг освобожденный. Как предотвратить перегрузки и использовать свой потенциал на полную мощь. Тео Компернолле
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dendrites: colorful wings of the mysterious butterflies, Daniel Johnston, Rishikesh Narayanan, Trends in Neurosciences. Volume 31. Issue 6. June 2008, pp. 309–316.
Dendritic spikes enhance stimulus selectivity in cortical neurons in vivo. Spencer L. Smith, Ikuko T. Smith, Tiago Branco & Michael Häusser. Nature. Letter 27 October 2013.
Orientation and Direction Selectivity of Synaptic Inputs in Visual Cortical Neurons: A Diversity of Combinations Produces Spike Tuning, Cyril Monier, Frédéric Chavane, Pierre Baudot, Lyle J. Graham, Yves Frégnac, Neuron. Volume 37, Issue 4. February 20 2003, pp. 663–680.
Wave Propagation Along Spiny Dendrites. Paul C. BressloffWaves. Neural Media. Lecture Notes on Mathematical Modelling in the Life Sciences 2014, pp. 101–136.
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Machine, heal thyself, Build yourself a brain, Paul Marks, New Scientist. February 16, 2013.
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Paul Marks, Computer that heals itself uses nature’s randomness to work. New Scientist, Volume 217, Issue 2904, 16 February 2013, p. 21.
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SpiNNaker: A 1-W 18-Core System-on-Chip for Massively-Parallel Neural Network Simulation. S.B. Painkras, E.; Plana, L.A.; Garside, J.; Temple, S.;Galluppi, F.; Patterson, C.; Lester, D.R.; Brown, A.D.; Furber, Solid-State Circuits, IEEE Journal of, Issue Date: Aug. 2013, http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6515159.
Power analysis of large-scale, real-time neural networks on SpiNNaker. Evangelos Stromatias, Francesco Galluppi, Cameron Patterson and Steve Furber. 2013. neuromorphs.net. https://www.neuromorphs.net/nm/raw-attachment/wiki/2013/uns13/Power_analysis_of_large_scale_real_time_neural_networks_on_SpiNNaker.pdf
Improving the Interconnection Network of a Brain Simulator. Jonathan Heathcote. 2013 http://jhnet.co.uk/misc/phdFirstYearReport.pdf
SpiNN aker: A 1-W 18-Core System-on-Chip for Massively-Parallel Neural Network Simulation. Painkras, E.; Plana, L.A.; Garside, J.; Temple, S.; Galluppi, F.; Patterson, C.; Lester, D.R.; Brown, A.D.; Furber, S.B. Solid-State Circuits, IEEE Journal of, Issue Date: Aug. 2013.
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Large-scale brain networks in affective and social neuroscience: towards an integrative functional architecture of the brain, Lisa Feldman Barrett, Ajay Bhaskar Satpute, Current Opinion in Neurobiology, Volume 23, Issue 3, June 2013, pp. 361–372.
A functional architecture of the human brain: emerging insights from the science of emotion. K.A. Lindquist, T.D. Wager, H. Kober, E. Bliss-Moreau, L.F. Barrett. Trends in Cognitive Sciences, November 2012, Vol. 16, № 11 533.
Clarify Brain Affective Processing Without Necessarily Clarifying Emotions.
Peter Walla and Jaak Panksepp. Novel Frontiers of Advanced Neuroimaging 2013. Chapter 6.
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Dynamics of Hippocampal Neurogenesis in Adult Humans, Kirsty L. Spalding, Olaf Bergmann, Kanar Alkass, Samuel Bernard, Mehran Salehpour, Hagen B. Huttner, Emil Boström, Isabelle Westerlund, Celine Vial, Bruce A. Buchholz, Göran Possnert, Deborah C. Mash, Henrik Druid, Jonas Frisén, Cell, Volume 153, Issue 6, 6 June 2013, pp. 1219–1227.
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Превосходный обзор нынешнего положения дел и последних открытий в этой области смотрите в недавнем выпуске (№ 80) журнала Neuroimage от 15 октября 2013 года, статья “Mapping the Connectome”.
Introduction to the NeuroImage Special Issue “Mapping the Connectome”, Steve Smith, NeuroImage, Volume 80, 15 October 2013, p. 1.
Functional interactions between intrinsic brain activity and behavior, Sepideh Sadaghiani, Andreas Kleinschmidt, NeuroImage, Volume 80, 15 October 2013, pp. 379–386.
What we can and cannot tell about the wiring of the human brain, Richard E. Passingham, NeuroImage, Volume 80, 15 October 2013, pp. 14–17.
Function in the human connectome: Task-fMRI and individual differences in behavior, Deanna M. Barch, and many others, NeuroImage, Volume 80, 15 October 2013, pp. 169–189.
Dynamic functional connectivity: Promise, issues, and interpretations, Deanna M. Barch, and many others, NeuroImage, Volume 80, 15 October 2013, pp. 360–378.
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Здесь можно найти прекрасный обзор: Dual-Processing Accounts of Reasoning, Judgment, and Social Cognition. Jonathan St. B. T. Evans. Annual Review of Psychology. 2007/2008 Vol. 59: 255–278. An evaluation of dual-process theories of reasoning. MAGDA OSMAN. Psychonomic Bulletin & Review. Volume 11, Number 6 (2004), 988–1010 2004. https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/151/Evaluation%20of%20dual%20process%20theories.pdf?sequence=8
Explaining modulation of reasoning by belief. Goel, V. and Dolan, R.J. (2003) Cognition 87, B11–B22.
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Stress: Vriend en Vijand. T. Compernolle Uitgeverij Lannoo Belgium. 2012. 14th edition. Четвертое обновленное издание на английском языке «Stress: Friend and Foe» выпущено в начале 2015 г. Некоторые материалы доступны на сайте www.brainchains.com.
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Control of goal-directed and stimulus-driven attention in the brain. Corbetta, M., & Shulman, G. L. (2002). Nature Reviews Neuroscience, 3, 201–215.
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Thinking fast and slow. Daniel Kahneman. Penguin Books. 2012. (Канеман Д. Думай медленно, решай быстро. – М.: АСТ, 2013.)
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Ramscar, M., Hendrix, P., Shaoul, C., Milin, P., & Baayen, H. (2014). The Myth of Cognitive Decline: Non-Linear Dynamics of Lifelong Learning. Topics in cognitive science.
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The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Fox M.D., Snyder A.Z., Vincent J.L., Corbetta M., Van Essen D.C., Raichle M.E.. Proc Natl Acad Sci U S A. 2005 Jul 5; 102(27): 9673–8.
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Greicius M.D., Krasnow B., Reiss A.L., Menon V. Proc Natl Acad Sci U S A. 2003 Jan. 7; 100(1): 253–8. Default network connectivity during a working memory task. Bluhm R.L., Clark C.R., McFarlane A.C., Moores K.A., Shaw M.E., Lanius R.A. Hum Brain Mapp. 2011 Jul.; 32(7): 1029–35. Epub 2010 Jul. 20.
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Individual Differences and the Belief Bias Effect: Mental Models, Logical Necessity, and Abstract Reasoning. Donna Torrens. Thinking & Reasoning. Volume 5, Issue 1, 1999. pp. 1–28.
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