Abstract
The problems and beauty of teaching computational neuroscience are discussed by reviewing three new textbooks.
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References
Izhikevich E (2007) Dynamical systems in neuroscience. MIT press, Cambridge
Anderson B (2014) Computational neuroscience and cognitive modelling. A student’s introduction to methods and procedures. Sage Publ. Ltd, Beverley Hills
Arbib M (2002) The handbook of brain theory and neural networks. MIT Press, Cambridge
Bower J (2013) 20 Years of computational neuroscience. Springer, Verlag
Dayan P, Abbott L (2001) Theoretical neuroscience. MIT Press, Cambridge
Ermentrout G, Terman T (2010) Mathematical foundations of neuroscience. Springer, Berlin
Gerstein GL, Mandelbrot B (1964) random walk models for the spike activity of a single neuron. Biophys J 4(1):41–68
Gerstner W, Kistler W, Naud R, Paninski L (2014) Neuronal dynamics—from single neurons to networks and models of cognition. Cambridge University Press, Cambridge
Grossberg S (1980) How does a brain build a cognitive code? Psychol Rev 87:1–51
Hirsch M (1989) Convergent activation dynamics in continuous time networks. Neural Netw 2:331349
Hopfield JJ (1982) Neural networks and physical systems with emergent collective computational properties. Proc Nat Acad Sci (USA) 79:2554–2558
Hopfield JJ (1984) Neurons with graded response have collective computational properties like those of two-sate neurons. Proc Natl Acad Sci (USA) 81:3088–3092
Levy W, Steward O (1983) Temporal contiguity requirements for long-term associative potentiation/depression in the hippocampus. Neuroscience 8:791–797
Mallot H (2013) Computational neuroscience. A first course. Springer, Berlin
Schwartz E (ed) (1990) Computational neuroscience. MIT Press, Cambridge
Trappenberg T (2010) Fundamentals of computational neuroscience. Oxford Univ. Press, Oxford
Tsuda I (1992) Dynamic link of memorychaotic memory map in nonequilibrium neural networks. Neural Netw 5:313–326
Acknowledgments
Thanks for my numerous teaching assistants over the years. I had many conversation with them about the method of teaching of this discipline. I also thank to the Henry Luce Foundation to let me to serve as a Henry R Luce Professor. Thank you for Brian Dalluge (who is now in my Computational Neuroscience class) for copy editing the manuscript.
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Érdi, P. Teaching computational neuroscience. Cogn Neurodyn 9, 479–485 (2015). https://doi.org/10.1007/s11571-015-9340-6
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DOI: https://doi.org/10.1007/s11571-015-9340-6