Anderson, B. (2014). Computational Neuroscience and Cognitive Modelling: A Student’s Introduction to Methods and Procedures. SAGE. https://www.amazon.co.uk/Computational-Neuroscience-Cognitive-Modelling-Anderson/dp/1446249301/
Chow, C. C., Ecole d’été de physique théorique (Les Houches, Haute-Savoie, France), ebrary, Inc, Gutkin, B., Hansel, D., Meunier, C., & Dalibard, J. (2005). Methods and Models in Neurophysics (1st ed) [Electronic resource]. Elsevier. http://site.ebrary.com/lib/reading/Doc?id=10191640
cplusplus.com - The C++ Resources Network. (n.d.). http://www.cplusplus.com/
Dale, N., & Weems, C. (2013). Programming and Problem Solving with C++: Comprehensive (6th ed.). Jones and Bartlett Publishers, Inc. https://www.amazon.co.uk/Programming-Problem-Solving-C-Comprehensive/dp/1284028763/
Davis, S. R. (2010). Beginning Programming with C++ for Dummies. Wiley. http://site.ebrary.com/lib/reading/detail.action?docID=10411557
Dawson, M. (2010). Beginning C++ Through Game Programming (3rd ed.). Cengage Learning. http://site.ebrary.com/lib/reading/detail.action?docID=10422877
Dayan, P., & Abbott, L. F. (2001). Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems: Vol. Computational neuroscience. The MIT Press.
Dayan, P., Abbott, L. F., & ebrary, Inc. (2001). Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems: Vol. Computational neuroscience [Electronic resource]. Massachusetts Institute of Technology Press. https://ebookcentral.proquest.com/lib/reading/detail.action?docID=6419139
De Schutter, E. & ebrary, Inc. (2009). Computational Modeling Methods for Neuroscientists: Vol. Computational neuroscience series [Electronic resource]. MIT Press. http://site.ebrary.com/lib/reading/Doc?id=10340965
Dynamical Systems in Neuroscience (online book). (n.d.). http://www.izhikevich.org/publications/dsn.pdf
Ermentrout, B., & Terman, D. H. (2010). Mathematical Foundations of Neuroscience: Vol. Interdisciplinary applied mathematics. Springer. https://www.amazon.co.uk/Mathematical-Foundations-Neuroscience-Interdisciplinary-Mathematics/dp/038787707X/
Gerstner, W., Kistler, W. M., Naud, R., & Paninski, L. (22 C.E.). Neuronal Dynamics: From Single Neurons To Networks And Models Of Cognition. Cambridge University Press. https://www.amazon.co.uk/Neuronal-Dynamics-Neurons-Networks-Cognition/dp/1107635195/
Izhikevich, E. M. & ebrary, Inc. (2007). Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting: Vol. Computational neuroscience [Electronic resource]. MIT Press. http://site.ebrary.com/lib/reading/Doc?id=10173655
James, G. (2020). Modern engineering mathematics (Sixth edition). Pearson. https://ebookcentral.proquest.com/lib/reading/detail.action?docID=6401118
Josuttis, N. M. (2012). The C++ standard library: a tutorial and reference (2nd ed). Addison-Wesley.
Juneja, B. L., & Seth, A. (2009). Programming with C++. New Age International. http://site.ebrary.com/lib/reading/reader.action?docID=10318691
Koch, C. & ebrary, Inc. (1999). Biophysics of Computation: Information Processing in Single Neurons: Vol. Computational neuroscience [Electronic resource]. Oxford University Press. http://site.ebrary.com/lib/reading/Doc?id=10531081
Lee, M. (2009). C++ Programming for the Absolute Beginner (2nd ed.). Course Technology / Cengage Learning. http://site.ebrary.com/lib/reading/detail.action?docID=10314633
Lippman, S. B., Lajoie, J., & Moo, B. E. (n.d.). C++ primer (5th ed). Addison-Wesley.
Lytton, W. W. (2002). From computer to brain: foundations of computational neuroscience [Electronic resource]. Springer. https://ebookcentral.proquest.com/lib/reading/detail.action?docID=3035518
McGrath, M. (2011). C++ Programming: Vol. In easy steps (4th ed.). In Easy Steps. https://www.amazon.co.uk/C-Programming-easy-steps-4th/dp/1840784326/
Mueller, J. P., & Cogswell, J. (2014). C++ all-in-one for dummies (Third edition). John Wiley & Sons, Inc. http://site.ebrary.com/lib/reading/Doc?id=10902327
Neuronal Dynamics (online book). (n.d.). http://neuronaldynamics.epfl.ch/online/index.html
Pitt-Francis, J., & Whiteley, J. (2012). Guide to Scientific Computing in C++: Vol. Undergraduate topics in computer science. Springer-Verlag. https://www.amazon.co.uk/Scientific-Computing-Undergraduate-Computer-Science/dp/1447127358/
Savitch, W. J., & Mock, K. (2012). Problem solving with C++ (8th ed). Addison Wesley. https://www.amazon.co.uk/Problem-Solving-Global-Walter-Savitch/dp/1292018240/
Savitch, W., & Mock, K. (2016). Absolute C++ (6th ed.). Pearson. https://www.amazon.co.uk/Absolute-C-Global-Walter-Savitch/dp/1292098597/
Stroud, K. A., & Booth, D. J. (2011). Advanced engineering mathematics (5th ed.). Palgrave Macmillan. https://www.amazon.co.uk/Advanced-Engineering-Mathematics-K-Stroud/dp/0230275486/
Stroud, K. A., & Booth, D. J. (2020). Engineering mathematics (Eighth edition). Macmillan International Higher Education. https://ebookcentral.proquest.com/lib/reading/detail.action?docID=6418157
Stroustrup, B. (2013). The C++ programming language (Fourth edition). Addison-Wesley/Pearson Education.
Stroustrup, B. (2014). Programming: principles and practice using C++ (Second edition). Addison-Wesley.
Trappenberg, T. P. (2010). Fundamentals of computational neuroscience (2nd ed). Oxford University Press.
Tuckwell, H. C. (1988a). Introduction to theoretical neurobiology: Vol. Cambridge studies in mathematical biology. Cambridge University Press.
Tuckwell, H. C. (1988b). Introduction to theoretical neurobiology: Vol. Cambridge studies in mathematical biology. Cambridge University Press.
