An Advanced Version of Cognitive Structural Realism
- 135 Downloads
In this chapter, I draw on the resources of contemporary computational neuroscience to provide an updated version of CSR. I shall argue that the resources of the Predictive Processing Theory (PPT) can be used to account for both structuralist and realist components of CSR. I argue that PPT provides the necessary inferential links for accounting for CSR’s notion of scientific representation. Since the implemented Bayesian framework that PPT invokes has a natural propensity for being grounded, this version of CSR provides a solution to the problem of representation. But I will conclude the chapter by pointing out that the inferential nature of the invoked inferential links could still harbour the strong version of the problem of representation.
- Alderson-Day, B., Diederen, K., Fernyhough, C., Ford, J. M., Horga, G., Margulies, D. S., McCarthy-Jones, S., et al. (2016, June). Auditory hallucinations and the Brain’s resting-state networks: Findings and methodological observations. Schizophrenia Bulletin, 42, 1110–1123. https://doi.org/10.1093/schbul/sbw078.CrossRefGoogle Scholar
- Beni, M. D. (2018b). Reconstructing probabilistic realism: Re-enacting syntactical structures. Journal for General Philosophy of Science. Springer Netherlands, 1–21. Accessed September 27. https://doi.org/10.1007/s10838-018-9426-z.
- Blakemore, S.-J., Wolpert, D. M., & Frith, C. D. (1999). The cerebellum contributes to somatosensory cortical activity during self-produced tactile stimulation. Neuroimage. http://www.sciencedirect.com/science/article/pii/S1053811999904780.
- Blakemore, S.-J., Wolpert, D., & Frith, C. (2000). Why can’t you tickle yourself? Neuroreport. http://journals.lww.com/neuroreport/Abstract/2000/08030/Why_can_t_you_tickle_yourself_.2.aspx.
- Churchland, P. M. (1989). On the nature of theories: A neurocomputational perspective. In C. W. Savage (Ed.), Minnesota studies in the philosophy of science, Volume 14. Scientific theories (pp. 59–101). Minneapolis: University of Minnesota Press.Google Scholar
- Floridi, L. (2014). Perception and testimony as data providers. Logique et Analyse, 57(226), 3421–3438. Dordrecht: Springer.Google Scholar
- Hempel, C. (1965). Aspects of scientific explanation and other essays in the philosophy of science. New York: Free Press.Google Scholar
- Hohwy, J. (2013). The predictive mind. Oxford: Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199682737.001.0001.CrossRefGoogle Scholar
- Horga, G., Schatz, K. C., Abi-Dargham, A., & Peterson, B. S. (2014). Deficits in predictive coding underlie hallucinations in schizophrenia. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 34(24), 8072–8082. https://doi.org/10.1523/JNEUROSCI.0200-14.2014.CrossRefGoogle Scholar
- Lipton, P. (2004). Inference to the best explanation (2nd ed.). London: Routledge/Taylor and Francis Group.Google Scholar
- Maxwell, G. (1970). Theories, perception and structural realism. In R. Colodny (Ed.), The nature and function of scientific theories (pp. 3–34). Pittsburgh: University of Pittsburgh.Google Scholar
- Northoff, G. (2014a). Unlocking the brain: Volume 1: Coding. New York: Oxford University Press.Google Scholar
- Northoff, G. (2014b). Unlocking the brain: Volume 2: Consciousness. New York: Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199826995.001.0001.CrossRefGoogle Scholar
- Psillos, S. (1999). Scientific realism: How science tracks truth. New York: Routledge.Google Scholar
- Russell, B. (1927). The analysis of matter. London: Kegan Paul.Google Scholar
- Zylberberg, J., Murphy, J. T., & DeWeese, M. R. (2011). A sparse coding model with synaptically local plasticity and spiking neurons can account for the diverse shapes of V1 simple cell receptive fields. Edited by O. Sporns. PLoS Computational Biology, 7(10), e1002250. https://doi.org/10.1371/journal.pcbi.1002250. Public Library of ScienceCrossRefGoogle Scholar