Abraham, T., 2016. Rebel Genius: Warren S. McCulloch’s Transdisciplinary Life in Science. MIT Press. [Amazon]
Anderson, James A. and Edward Rosenfeld, eds. Talking nets: An oral history of neural networks. MiT Press, 2000. [Amazon] [SWEM] [EBSCO]
Arbib, M.A. and Bonaiuto, J.J. eds., 2016. From neuron to cognition via computational neuroscience. pp.0-25. MIT Press. [Amazon]
The Philosophy of Hilary Putnam. Open Court, 2015. [Amazon] [SWEM]
Ballard, Dana H. An Introduction to Natural Computation. MIT Press, 1999. [Amazon] [SWEM] [EBSCO]
Ballard, Dana H. Brain Computation as Hierarchical Abstraction. MIT Press, 2015. [Amazon] [SWEM] [ProQuestEBookCentral]
Bhaskar, R., 2014. The possibility of naturalism: A philosophical critique of the contemporary human sciences. Routledge. [Amazon] [SWEM]
Boden, Margaret. Mind as Machine: A History of Cognitive Science. Oxford University Press, 2008. [Amazon] [SWEM]
Boden, Margaret. AI: Its Nature and Future. Oxford University Press, 2016. [Amazon] [SWEM]
Boden, Margaret. The Philosophy of Artificial Intelligence. Oxford University Press, 2016. [Amazon] [SWEM]
Braitenberg, Valentino 1986. Vehicles: Experiments in Synthetic Psychology. A Bradford Book. [Amazon] [SWEM]
Chandler. Semiotics: the basics. Routledge, 2007. [Amazon] [SWEM]
Cohen, Mike X. MATLAB for Brain and Cognitive Scientists. MiT Press, 2017. [Amazon]
Conradi Smith, Greg. Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells. Cambridge University Press, 2019. [Amazon]
Coombes, S., beim Graben, P., Potthast, R. and Wright, J. eds. Neural fields: theory and applications. Springer, 2014. [Amazon]
Dayan, Peter and Larry. F. Abbott. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. MiT Press, 2005. [Amazon] [SWEM] [ProQuestEBookCentral] [PDF]
De Schutter, Erik, editor. Computational Modeling Methods for Neuroscientists. The MIT Press, 2009. [Amazon] [SWEM] [EBSCO]
Ertel, W. Introduction to artificial intelligence. Springer, 2018.
Gerstner, Wulfram. Neuronal Dynamics: From Single Neurons To Networks And Models Of Cognition. Cambridge University Press, 2014. [Amazon]
Gerstner, Wulfram. Spiking Neuron Models: Single Neurons, Populations, Plasticity. Cambridge University Press, 2002. [Amazon]
Green, Joel B. Body, Soul, and Human Life: The Nature of Humanity in the Bible. Baker Academic, 2008. [Amazon]
Gross, Charles. Gordon Shepherd, Creating Modern Neuroscience: The Revolutionary 1950s.Oxford University Press, 2010. [Amazon] [SWEM]
Izhikevich, Eugene M. Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting. MiT Press, 2010. [Amazon] [SWEM] [ProQuestEBookCentral]
Kelley, Edward Kelly and Kelly, Emily Williams. Irreducible Mind: Toward a Psychology for the 21st Century. Rowman & Littlefield Publishers, 2009. [Amazon] [SWEM]
Kline, R.R., 2015. The cybernetics moment: Or why we call our age the information age. JHU Press. [Amazon] [SWEM]
Koch, Christof and Idan Segev, eds. Methods in Neuronal Modeling: From Ions to Networks. 2nd edition. MiT Press, 1998. [Amazon] [SWEM] [EBSCO]
Koch, Christof. Biophysics of Computation: Information Processing in Single Neurons. Oxford University Press, 2005. [Amazon] [SWEM] [ProQuestEBookCentral]
Lytton, W.W., 2007. From computer to brain: foundations of computational neuroscience. Springer Science & Business Media. [Amazon]
Machamer, P.K., Grush, R. and McLaughlin, P. eds. Theory and Method in the Neurosciences. University of Pittsburgh Press, 2001. [Amazon] [SWEM]
Marinaro, M., Scarpetta, S. and Yamaguchi, Y. Dynamic brain—from neural spikes to behaviors. 12th International Summer School on Neural Networks, Erice, Italy, Revised Lectures (Eds.), 5286. Springer, 2008. [AMAZON] [SWEM]
Marr, David, 2010. Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. MIT Press. [Amazon] [SWEM]
Metzinger, Thomas & Windt, Jennifer M. 2015. Open MIND, 2-vol. set Philosophy and the Mind Sciences in the 21st Century. The MIT Press. https://open-mind.net
Miller, Paul. An Introductory Course in Computational Neuroscience. MIT Press, 2018. [Amazon]
Pennartz, Cyriel M.A. The Brain’s Representational Power: On Consciousness and the Integration of Modalities. MIT Press, 2015. [Amazon] [SWEM] [EBSCO]
Piccinini, Gualtiero. Physical Computation: A Mechanistic Account. Oxford University Press, 2015. [SWEM]
Rieke, Fred and David Warland, Rob de Ruyter van Steveninck, William Bialek. Spikes: Exploring the Neural Code. MiT Press, 1996. [Amazon]
Biology And Computation: A Physicist’s Choice. World Scientific Publishing Company, 1994. [Amazon]
Steeves, H.P., 2006. The things themselves: Phenomenology and the return to the everyday. Binghamton, NY: State University of New York Press. [Amazon] [SWEM]
Sterling, Peter and Simon Laughlin. Principles of Neural Design. MiT Press, 2017. [Amazon] [SWEM] [EBSCO]
Stone, James V. Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency. Sebtel Press, 2018. [Amazon]
Trappenberg, Thomas. Fundamentals of Computational Neuroscience. 2nd Edition. Oxford University Press, 2010. [Amazon]
Wallisch, Pascal and Michael Lusignan, Marc Benayoun, Tanya I. Baker, Adam Seth Dickey, Nicho Hatsopoulos. Matlab for Neuroscientists: An Introduction to Scientific Computing in Matlab. Academic Press, 2008. [Amazon] [SWEM] [ProQuestEBookCentral] [SienceDirect]