Neuroformation™ v1.0 — Master Bibliography

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10.5281/zenodo.19197818

Neuroformation™ v1.0 — Master Bibliography

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References contextualize observed patterns across neuroscience, performance science, and AI systems research. The Neuroformation™ architecture derives from practitioner observation and cross-domain application, not any single theoretical framework.

Cybernetics and Systems Theory

Altman, D. G., & Bland, J. M. (1995). Absence of evidence is not evidence of absence. BMJ, 311(7003), 485. https://doi.org/10.1136/bmj.311.7003.485

Beer, S. (1972). Brain of the firm: The managerial cybernetics of organization. Allen Lane.

Calabrese, E. J. (2008). Hormesis: Why it is important to toxicology and toxicologists. Environmental Toxicology and Chemistry, 27(7), 1451–1474. https://doi.org/10.1897/07-541.1

Friston, K. J. (2010). The free-energy principle: A unified brain theory? Nature Reviews Neuroscience, 11(2), 127–138. https://doi.org/10.1038/nrn2787

Hasson, U., Nastase, S. A., & Goldstein, A. (2020). Direct fit to nature: An evolutionary perspective on biological and artificial neural networks. Neuron, 105(3), 416–434. https://doi.org/10.1016/j.neuron.2019.12.002

Holland, J. H. (1992). Adaptation in natural and artificial systems. MIT Press.

Kauffman, S. A. (1993). The origins of order: Self-organization and selection in evolution. Oxford University Press.

McChrystal, S. (2015). Team of teams: New rules of engagement for a complex world. Portfolio/Penguin.

Perrow, C. (1984). Normal accidents: Living with high-risk technologies. Basic Books.

Reason, J. (1997). Managing the risks of organizational accidents. Ashgate.

Snowden, D. J., & Boone, M. E. (2007). A leader’s framework for decision making. Harvard Business Review, 85(11), 68–76.

Taleb, N. N. (2012). Antifragile: Things that gain from disorder. Random House.

von Bertalanffy, L. (1968). General system theory. George Braziller.

Wiener, N. (1948). Cybernetics: Or control and communication in the animal and the machine. John Wiley & Sons.

Computational Substrate Theory

Chalmers, D. J. (1996). The conscious mind: In search of a fundamental theory. Oxford University Press.

Dennett, D. C. (1991). Consciousness explained. Little, Brown.

Putnam, H. (1967). Psychological predicates. In W. H. Capitan & D. D. Merrill (Eds.), Art, mind, and religion. University of Pittsburgh Press.

Tegmark, M. (2014). Our mathematical universe. Knopf.

Narrative Identity Architecture

Bruner, J. (1986). Actual minds, possible worlds. Harvard University Press.

Herman, J. L. (1992). Trauma and recovery. Basic Books.

McAdams, D. P. (1993). The stories we live by: Personal myths and the making of the self. William Morrow.

Ricoeur, P. (1992). Oneself as another. University of Chicago Press.

Applied Performance Science and Motor Learning

Agresti, A., & Franklin, C. (2013). Statistics: The art and science of learning from data (3rd ed.). Pearson.

Akerlof, G. A., & Kranton, R. E. (2000). Economics and identity. Quarterly Journal of Economics, 115(3), 715–753. https://doi.org/10.1162/003355300554881

Arnsten, A. F. T. (2009). Stress signalling pathways that impair prefrontal cortex structure and function. Nature Reviews Neuroscience, 10(6), 410–422. https://doi.org/10.1038/nrn2648

Beilock, S. L., & Carr, T. H. (2001). On the fragility of skilled performance: What governs choking under pressure? Journal of Experimental Psychology: General, 130(4), 701–725. https://doi.org/10.1037/0096-3445.130.4.701

Berardi, J. M., & Andrews, R. (2019). The essentials of sport and exercise nutrition (3rd ed.). Precision Nutrition.

Brown, B. (2010). The gifts of imperfection. Hazelden.

Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363–406. https://doi.org/10.1037/0033-295X.100.3.363

Eysenck, M. W., Derakshan, N., Santos, R., & Calvo, M. G. (2007). Anxiety and cognitive performance: Attentional control theory. Emotion, 7(2), 336–353. https://doi.org/10.1037/1528-3542.7.2.336

Fitts, P. M., & Posner, M. I. (1967). Human performance. Brooks/Cole.

Grossman, P., Ackland, G. L., Allen, A. M., Berntson, G. G., Booth, L. C., Burghardt, G. M., et al. (2026). Challenging claims in the field of heart rate variability. Clinical Neuropsychiatry, 23(1), 100–112. https://doi.org/10.36131/cnfioritieditore20260110

Gütlin, D., & Auksztulewicz, R. (2025). Predictive coding algorithms induce brain-like responses in artificial neural networks. PLOS Complex Systems, 2(11), e0000076. https://doi.org/10.1371/journal.pcsy.0000076

Lally, P., van Jaarsveld, C. H. M., Potts, H. W. W., & Wardle, J. (2010). How are habits formed: Modelling habit formation in the real world. European Journal of Social Psychology, 40(6), 998–1009. https://doi.org/10.1002/ejsp.674

LeDoux, J. E. (1996). The emotional brain. Simon & Schuster.

Markus, H. (1977). Self-schemata and processing information about the self. Journal of Personality and Social Psychology, 35(2), 63–78. https://doi.org/10.1037/0022-3514.35.2.63

McKenzie, I. A., et al. (2014). Motor skill learning requires active central myelination. Science, 346(6207), 318–322. https://doi.org/10.1126/science.1254960

Nørretranders, T. (1998). The user illusion: Cutting consciousness down to size. Viking.

Pfaff, D., & McMillan, S. (2019). The ALTIS performance therapy course. ALTIS.

Schmidt, R. A. (1975). A schema theory of discrete motor skill learning. Psychological Review, 82(4), 225–260. https://doi.org/10.1037/h0076770

Thayer, J. F., Hansen, A. L., Saus-Rose, E., & Johnsen, B. H. (2009). Heart rate variability, prefrontal neural function, and cognitive performance. Annals of Behavioral Medicine, 37(2), 141–153. https://doi.org/10.1007/s12160-009-9101-z

Vealey, R. S. (2007). Mental skills training in sport. In G. Tenenbaum & R. C. Eklund (Eds.), Handbook of sport psychology (3rd ed., pp. 285–309). Wiley.

Wulf, G., McNevin, N., & Shea, C. H. (2001). The automaticity of complex motor skill learning as a function of attentional focus. Quarterly Journal of Experimental Psychology, 54A(4), 1143–1154. https://doi.org/10.1080/713756012

Xiao, L., et al. (2016). Rapid production of new oligodendrocytes is required in the earliest stages of motor-skill learning. Nature Neuroscience, 19(9), 1210–1217. https://doi.org/10.1038/nn.4351

Zheng, J., & Meister, M. (2025). Revealing the computational structure of the human visual cortex with a deep neural network. Neuron, 113(2), 192–204. https://doi.org/10.1016/j.neuron.2024.11.008

Cognitive Neuroscience

Gallagher, S. (2017). Enactivist interventions: Rethinking the mind. Oxford University Press.

Gallagher, S. (2023). Embodied and enactive approaches to cognition. Cambridge University Press.

Hofstadter, D. R. (1979). Gödel, Escher, Bach: An eternal golden braid. Basic Books.

Hollnagel, E., Woods, D. D., & Leveson, N. (Eds.). (2006). Resilience engineering: Concepts and precepts. Ashgate.

Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.

Varela, F. J., Thompson, E., & Rosch, E. (1991). The embodied mind. MIT Press.

APP Published Papers

Slusher, A. M. (2026a). Elevation Grid™ v1.1: A field-developed framework for high-stakes performance across adaptive and elite populations. Achieve Peak Performance. https://doi.org/10.5281/zenodo.18790842

Slusher, A. M. (2026b). Neural Access Method™: Transmission protocol for high-pressure intervention. Achieve Peak Performance. Manuscript in preparation.

Slusher, A. M. (2026c). Memory Breathing Methodology (MBM) v1.0. ValorGrid Solutions. https://doi.org/10.5281/zenodo.18790096

VGS Published Papers

Slusher, A. M. (2025a). Cognitive Mage v1.0. ValorGrid Solutions Technical Reports. https://doi.org/10.5281/zenodo.17643267

Slusher, A. M. (2025b). Complete Symbolic Fracture Cascade v1.0. ValorGrid Solutions Technical Reports. https://doi.org/10.5281/zenodo.17309239

Slusher, A. M. (2025c). Distributed Cognitive Network v1.0. ValorGrid Solutions Technical Reports. https://doi.org/10.5281/zenodo.17555568

Slusher, A. M. (2025d). Mythopoeic Intelligence Agents v1.0. ValorGrid Solutions Technical Reports. https://doi.org/10.5281/zenodo.17770533

Slusher, A. M. (2025e). Synoetic OS v1.0. ValorGrid Solutions Technical Reports. https://doi.org/10.5281/zenodo.17808864

Slusher, A. M. (2026d). PME v1.0: Predictive Myelination Engine. ValorGrid Solutions Technical Reports. https://doi.org/10.5281/zenodo.18318485

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