Libros sobre el tema "Neurosciences mathématiques"
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N, Reeke George, ed. Modeling in the neurosciences: From biological systems to neuromimetic robotics. 2a ed. Boca Raton, Fla: Taylor & Francis, 2005.
Buscar texto completoR, Poznanski Roman, ed. Modeling in the neurosciences: From ionic channels to neural networks. Amsterdam: Harwood Academic Publishers, 1999.
Buscar texto completoSuzanne, Tyc-Dumont, ed. Le neurone computationnel: Histoire d'un siècle de recherches. Paris: CNRS, 2005.
Buscar texto completoF, Abbott L., ed. Theoretical neuroscience: Computational and mathematical modeling of neural systems. Cambridge, Mass: Massachusetts Institute of Technology Press, 2001.
Buscar texto completo1956-, Koch Christof y Segev Idan, eds. Methods in neuronal modeling: From ions to networks. 2a ed. Cambridge, Mass: MIT Press, 1998.
Buscar texto completoLindsay, K. A., G. N. Reeke, R. R. Poznanski, J. R. Rosenberg y O. Sporns. Modeling in the Neurosciences: From Biological Systems to Neuromimetic Robotics. Taylor & Francis Group, 2005.
Buscar texto completoLindsay, K. A., G. N. Reeke, R. R. Poznanski, J. R. Rosenberg y O. Sporns. Modeling in the Neurosciences: From Biological Systems to Neuromimetic Robotics. Taylor & Francis Group, 2005.
Buscar texto completoLindsay, K. A., G. N. Reeke, R. R. Poznanski, J. R. Rosenberg y O. Sporns. Modeling in the Neurosciences: From Biological Systems to Neuromimetic Robotics. Taylor & Francis Group, 2005.
Buscar texto completo(Editor), Lianghuo Fan, ed. How Chinese Learn Mathematics: Perspectives From Insiders (Mathematics Education). World Scientific Publishing Company, 2005.
Buscar texto completoHow Chinese Learn Mathematics: Perspectives from Insiders. World Scientific Pub Co Inc, 2004.
Buscar texto completoTime series modeling of neuroscience data. Boca Raton: Taylor & Francis, 2012.
Buscar texto completoGlimcher, Paul W. Decisions, Uncertainty, and the Brain: The Science of Neuroeconomics. MIT Press, 2004.
Buscar texto completoGlimcher, Paul W. Decisions, Uncertainty, and the Brain: The Science of Neuroeconomics (Bradford Books). The MIT Press, 2003.
Buscar texto completoGlimcher, Paul W. Decisions, Uncertainty, and the Brain: The Science of Neuroeconomics. MIT Press, 2004.
Buscar texto completoDecisions, Uncertainty, and the Brain: The Science of Neuroeconomics (Bradford Books). The MIT Press, 2004.
Buscar texto completoDecisions, uncertainty, and the brain: The science of neuroeconomics. Cambridge, MA: MIT Press, 2002.
Buscar texto completoIndividual Differences in Arithmetic: Implications for Psychology, Neuroscience and Education. Taylor & Francis Group, 2019.
Buscar texto completoDowker, Ann. Individual Differences in Arithmetic: Implications for Psychology, Neuroscience and Education. Taylor & Francis Group, 2019.
Buscar texto completoDowker, Ann. Individual Differences in Arithmetic: Implications for Psychology, Neuroscience and Education. Taylor & Francis Group, 2019.
Buscar texto completoDowker, Ann. Individual Differences in Arithmetic: Implications for Psychology, Neuroscience and Education. Taylor & Francis Group, 2005.
Buscar texto completoDowker, Ann. Individual Differences in Arithmetic: Implications for Psychology, Neuroscience and Education. Taylor & Francis Group, 2019.
Buscar texto completoIndividual differences in arithmetic: Implications for psychology, neuroscience, and education. New York: Psychology Press, 2005.
Buscar texto completoIndividual Differences in Arithmetic: Implications for Psychology, Neuroscience and Education. Taylor & Francis Group, 2012.
Buscar texto completoIndividual Differences in Arithmetic: Implications for Psychology, Neuroscience and Education. Taylor & Francis Group, 2019.
Buscar texto completoWaves In Neural Media From Single Neurons To Neural Fields. Springer-Verlag New York Inc., 2013.
Buscar texto completoAbbott, L. F. y Peter Dayan. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. The MIT Press, 2005.
Buscar texto completoRichard P. Cooper With Contributi, Peter G. Yule, David W. Glasspool, Richard P. Cooper y Fox John. Modelling High-Level Cognitive Processes. Taylor & Francis Group, 2013.
Buscar texto completoModelling High-level Cognitive Processes. Lawrence Erlbaum, 2002.
Buscar texto completoRichard P. Cooper With Contributi, Peter G. Yule, David W. Glasspool, Richard P. Cooper y Fox John. Modelling High-Level Cognitive Processes. Taylor & Francis Group, 2013.
Buscar texto completoRichard P. Cooper With Contributi, Peter G. Yule, David W. Glasspool, Richard P. Cooper y Fox John. Modelling High-Level Cognitive Processes. Taylor & Francis Group, 2013.
Buscar texto completoCooper, Richard P. Modelling High-Level Cognitive Processes. Taylor & Francis Group, 2002.
Buscar texto completo(Editor), Christof Koch y Idan Segev (Editor), eds. Methods in Neuronal Modeling - 2nd Edition: From Ions to Networks (Computational Neuroscience). 2a ed. The MIT Press, 1998.
Buscar texto completoDrongelen, Wim van. Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals. Academic Press, 2006.
Buscar texto completoDrongelen, Wim van. Signal Processing for Neuroscientists. Elsevier Science & Technology, 2018.
Buscar texto completoDrongelen, Wim van. Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals. Elsevier Science & Technology Books, 2006.
Buscar texto completoSignal processing for neuroscientists: Introduction to the analysis of physiological signals. Amsterdam: Elsevier/Academic Press, 2007.
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