Resources for Computational Neuroscience
Dayan, P. Abbott, L.F. (2001 / 2005) Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. MIT Press, Cambridge, MA.
Sterratt, D., Graham, B, Gillies, A., Willshaw, D. (2011) Principles of Computational Modelling in Neuroscience. Cambridge University Press, UK.
Bishop, Pattern Recognition and Machine Learning, Springer.
Zigmond, Bloom, Landis, Roberts, Squire: Fundamental Neuroscience. Academic press (1999)
Foundations of Cellular Neurophysiology, Johnston and Wu, MIT Press, 2nd ed. (1995).
Ionic Channels of Excitable Membranes, Hille, Sinauer, 2nd ed. (1992), 3rd ed. (2001).
Spikes Rieke F, Warland D, de Ruyter van Steveninck R, Bialek W (1999) Cambridge: MIT Press.
Foundations of Cellular Neurophysiology, Ed. D. Johnston and S. Wu
Bioelectricity: A quantitative approach, Ed. R. Plonsey and R.C.Barr
Imaging in Neuroscience and Development, Ed. A.Konnerth and R Yuste
Kandel et al.: Principles of Neural Sciences, 4th ed. 2000, McGraw-Hill.
Purves et al.: Neuroscience, 2nd ed. 2004, Sinauer.
Crossman, Neary: Neuroanatomy - An Illustrated Colour Text, 2nd ed. Churchill Livingstone 2000.