DOI: 10.14704/nq.2013.11.2.589

To be Free or not to be Free: A Theory Regarding Mans Question of Free Will

Ryan Darrell Wall


Rapidly advancing knowledge of neural encoding and sequence enables new means for the analysis of specific neural pathways associated with the differences between the unconscious and conscious decision making processes. Recent studies maintain that the outcome of a decision can be encoded in brain activity of prefrontal and parietal cortex seconds before it enters conscious awareness. There are numerous theoretical reasons which are customarily presented to undermine the case for mental causation. The present work offers a new approach, by which a coherent scheme for explaining the mechanism of free will is presented in terms of information processing and evolutionary means.

NeuroQuantology | June 2013 | Volume 11 | Issue 2| Page 268-276


free will; perception; entanglement; information processing

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Barreiro LB, Laval G, Quach H, Patin E, Quintana-Murci L. Natural Selection Has Driven Population Differentiation in Modern Humans. Nature Genetics 2008; 40.3: 340-345.

Berridge CK, Reynolds MS. Glutamate motivational ensembles in nucleus accumbens: rostrocaudal shell gradients of fear and feeding. European Journal of Neuroscience 2003; 17(10): 2187–2200.

Broca P. Remarques sur le siege da la faculte du language articule, suive d'une observation d'aphemie. Transl. 1861.

Caspi A & Moffitt TE. Gene-environment interactions in psychiatry: joining forces with neuroscience. Nature Reviews Neuroscience 2006; 7(7): 583-590.

Caviness VSJ, Takahashi T and Nowakowski RS. Numbers, time and neocortical neuronogenesis: a general developmental and evolutionary model. Trends Neurosci 1995; 18: 379–383.

De Paola V, Holtmaat A, Knott G, Song S, Wilbrecht L, Caroni P, Svoboda K. Cell type-specific structural plasticity of axonal branches and boutons in the adult neocortex. Neuron 2006; 16; 49(6):861-75.

Futuyma DJ. Evolutionary Biology. 2nd ed. Sinauer, Sunderland, MA, 1986.

Gehring WJ and Ikeo K. Pax 6 mastering eye morphogenesis and eye evolution. Trends Genet 1999; 15: 371-377.

Greene JD, Nystrom LE, Engell AD, Darley JM and Cohen JD. TheNeural Bases of Cognitive Conflict and Control in Moral Judgment. Neuron 2004; 44(2): 389-400.

Greenough WT & Black JE. Induction of brain structure by experience: Substrates for cognitivedevelopment. In M.R. Gunnar & C.A. Nelson (Eds.), Developmental Dehavioral Neuroscience. 1992.

Granville S. A mathematician’s view of evolution, The Mathematical Intelligencer 2000; 22(4): 5–7.

Granville S. Can anything happen in an open system? The Mathematical Intelligencer 2001; 23(4): 8-10.

Haldane JBS. A mathematical theory of natural and artificial selection, Part I. Transactions of the Cambridge Philosophical Society 1924; 23: 19–41.

Hariri AR, Gorka A, Hyde LW, Kimak M, Halder I, Ducci F, Ferrell RE, Goldman D & Manuck SB. Divergent effects of genetic variation in endocannabinoid signaling on human threat- and reward-related brain function. Biological Psychiatry 2009; 66(1):9-16.

Hedrick PW. Genetics of Populations, 3rd ed. Sudbury, MA: Sinauer & Associates, 2005.

Hilary P. Mind, Language and Reality. Philosophical Papers, vol. 2. Cambridge: Cambridge University Press. 1975.

Johnson-Laird PN. Mental models: Towards a cognitive science of language, inference, and consciousness. Cambridge, MA: Harvard University Press. 1983.

Kirkpatrick M, Ravigne V. Speciation by natural and sexual selection: models and experiments. American Naturalist 2002; 159 (Suppl.): S22–S35.

Llinás R & Paré D. The brain as a closed system modulated by the senses. In: The Mind-Brain Continuum, ed. R. Llinás, P. S. Churchland (Cambridge/Mass., London, MIT Press). 1966.

Llinás R et al. The neuronal basis for consciousness. Phil Trans R Soc Lond B 1998; 353: 1841–1849.

Mekel-Bobrov, N et al. Ongoing Adaptive Evolution of ASPM, a Brain Size Determinant in Homo sapiens. Science 2005; 309: 1720-1722.

Moore-Ede MC. Physiology of the circadian timing system: predictive versus reactive homeostasis. Am J Physiol Regul Integr Comp Physiol 1986; 250: R735–752.

Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage 2012; 59(3):2142-54. doi: 10.1016/j.neuroimage.2011.

Richiardi J, Eryilmaz H, Schwartz S, Vuilleumier P, Van De Ville D. Decoding brain states from fMRI connectivity graphs. Neuroimage 2011; 56: 616–626.

Smith M. Rational Capacities. In S. Stroud and C. Tappolet, eds. Weakness of will and practical irrationality. Oxford: Clarendon Press, 2003; pp. 17-38.

Vaas R. Why Neural Correlates Of Consciousness Are Fine, But Not Enough. Anthropology& Philosophy 1999; 3: 121–141.

Williamson, SH et al. Localizing Recent Adaptive Evolution in the Human Genome. PLoS Genetics 2007; 3(6): 901-916.

Wyatt JK, Ritz-De Cecco A, Czeisler CA, Dijk DJ. Circadian temperature and melatonin rhythms, sleep, and neurobehavioral function in humans living on a 20-h day. Am J Physiol Regul Integr Comp Physiol 1999; 277: R1152–1163.

Zahn LM, Jasny BR, Culotta E and Pennisi E. A Barrel of Monkey Genes. Science 2007; 316(5822): 215

Zhang J, Bogacz R & Holmes P. A comparison of bounded diffusion models for choice in time controlled tasks. Journal of Mathematical Psychology 2009; 53(4): 231_241.

Zhou X, Wong-Lin KF & Holmes P. Time-varying perturbations can distinguish among integrate-to-threshold models for perceptual decision-making in reaction time tasks. Neural Computation 2009; 21(8): 2336-2362.

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The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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