Books

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]

AuxierRandall E., AndersonDouglas R., and HahnLewis Edwin, eds. 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]

GutfreundHanoch and  ToulouseGerard, editors. 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 HatsopoulosMatlab for Neuroscientists: An Introduction to Scientific Computing in Matlab. Academic Press, 2008. [Amazon] [SWEM] [ProQuestEBookCentral] [SienceDirect]