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Can the Fermionic Mind Hypothesis (FMH) Explain Consciousness? The Physics of Selfhood

  • Ideas and Perspectives
  • Published:
Activitas Nervosa Superior

Abstract

The recognition that the brain’s electric activities correlate with psychophysiology has encouraged the application of physical principles in the analysis of cognitive processes. Perception is an orthogonal transformation of the spatial organization of the physical world into a temporally organized system—the discrete processing of stimulus centers on the resting state. Information overload formulates a time pressure of stress and temporal excess spurs satisfaction. Both conditions enhance time perception but correspond to opposite emotions and attitudes. Emotions underlie all cognitive and processes by forming the fundamental motivations, attachments, and personal boundaries. Emotions have irresistible power over our behavior; by operating behind conscious awareness, they modulate what we see, hear, and think. The fermionic mind hypothesis (FMH) establishes consciousness as the smallest unit of intellect that operates via the principles of string theory, general relativity, and quantum mechanics. Adopting physical laws ensures survival by integrating the mind into the environment.

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References

  • Adami, R., Pagano, J., Colombo, M., Platonova, N., Recchia, D., Chiaramonte, R., Bottinelli, R., Canepari, M., & Bottai, D. (2018). Reduction of movement in neurological diseases: effects on neural stem cells characteristics. Frontiers in Neuroscience, 12, 336.

    PubMed  PubMed Central  Google Scholar 

  • Aerts, D., de Bianchi, S., & Sozzo, S. (2016). On the foundations of the Brussels operational realistic approach to cognition. Frontiers in Physics, 4. https://doi.org/10.3389/fphy.2016.00017.

  • Allahverdyan, A. E., et al. (2018). Adaptive decision making via entropy minimization. International Journal of Approximate Reasoning, 103(2018), 270–287.

    Google Scholar 

  • Apazoglou, K., Küng, A. L., Cordera, P., et al. (2019). Rumination related activity in brain networks mediating attentional switching in euthymic bipolar patients. International Journal of Bipolar Disorders, 7, 3.

    PubMed  PubMed Central  Google Scholar 

  • Apps, M. A., & Tsakiris, M. (2013). The free-energy self: a predictive coding account of selfrecognition. Neuroscience and Biobehavioral Reviews, 41, 85–97.

    PubMed  Google Scholar 

  • Atasoy, S., Deco, G., Kringelbach, M. L., & Pearson, J. (2017). Harmonic brain modes: a unifying framework for linking space and time in brain dynamics. The Neuroscientist, 22, 277. https://doi.org/10.1177/1073858417728032.

    Article  Google Scholar 

  • Baciadonna, L., Briefer, E. L., Favaro, L., & McElligott, A. G. (2019). Goats distinguish between positive and negative emotion-linked vocalisations. Frontiers in Zoology, 16, 25.

    PubMed  PubMed Central  Google Scholar 

  • Başar. (2011). Brain-body-mind in the Nebulous Cartesian System: a holistic approach by oscillations. New York: Springer.

  • Barbey, A. K., Colom, R., & Grafman, J. (2014). Distributed neural system for emotional intelligence revealed by lesion mapping. Social Cognitive and Affective Neuroscience, 9(3), 265–272.

    PubMed  Google Scholar 

  • Behrens, E. J. T., Muller, T. H., Whittington, J. C. R., et al. (2018). What is a cognitive map? Organizing knowledge for flexible behavior. Neuron, 100, 490–509.

  • Bengson, J. J., et al. (2014). Spontaneous neural fluctuations predict decisions to attend. Journal of Cognitive Neuroscience, 26, 2574. https://doi.org/10.1162/jocn_a_00650.

    Article  Google Scholar 

  • Bethell, E. J., Holmes, A., MacLarnon, A., & Semple, S. (2012). Evidence that emotion mediates social attention in rhesus macaques. PLoS One, 7(8), e44387.

    PubMed  PubMed Central  Google Scholar 

  • Van Berkel, L., Crandall, C. S., Eidelman, S., & Blanchar, J. C. (2015). Hierarchy, dominance, and deliberation egalitarian values require mental effort. Personality and Social Psychology Bulletin, 41, 1207–1222.

    PubMed  Google Scholar 

  • Boehm, J. K., & Lyubomirsky, S. (2008). Does happiness promote career success? Journal of Career Assessment, 16, 101–116.

    Google Scholar 

  • Bousso, R. (2002). The holographic principle. Reviews of Modern Physics, 74, 825. https://doi.org/10.1103/RevModPhys.74.825.

    Article  Google Scholar 

  • Brembs, B. (2011). Towards a scientific concept of free will as a biological trait: spontaneous actions and decision-making in invertebrates. Proceedings.Biological Sciences The Royal Society, 278(1707), 930–939. https://doi.org/10.1098/rspb.2010.2325.

    Article  Google Scholar 

  • Brooks, K. R., Mond, J. M., Stevenson, R. J., & Stephen, I. D. (2016). Body image distortion and exposure to extreme body types: contingent adaptation and cross adaptation for self and other. Frontiers in Neuroscience, 10, 334. https://doi.org/10.3389/fnins.2016.00334.

    Article  PubMed  PubMed Central  Google Scholar 

  • Brunec, I. K., Moscovitch, M., & Barense, M. D. (2018). Boundaries shape cognitive representations of spaces and events. Trends in Cognitive Sciences, 22, 637.

    PubMed  Google Scholar 

  • Buzsáki, G. (2011). Hippocampus. Scholarpedia, 6(10), 1468.

  • Buzsáki, G., Logothetis, N., & Singer, W. (2013). Scaling brain size, keeping timing: evolutionary preservation of brain rhythms. Neuron, 80(4), 751–764.

  • Caro-Martın, C. R., Leal-Campanario, R., Sanchez-Campuzano, R., Delgado-Garcıa, J. M., & Gruart, A. (2015). A variable oscillator underlies the measurement of time intervals in the rostral medial prefrontal cortex during classical eyeblink conditioning in rabbits. Journal of Neuroscience, 35, 14809–14821.

    PubMed  Google Scholar 

  • Chalmers, D. (1995). Facing up to the hard problem of consciousness. Journal of Consciousness Studies, 2, 200–219.

    Google Scholar 

  • Chen, F. S., et al. (2013). In the eye of the beholder: eye contact increases resistance to persuasion. Psychological Science, 24(11), 2254–2261.

    PubMed  Google Scholar 

  • Csikszentmihalyi, M., & Hunter, J. (2003). Happiness in everyday life: the uses of. Journal of Happiness Studies, 4, 185–199.

    Google Scholar 

  • Coughlan, G., Laczo, J., Hort, J., Minihane, A. M., & Hornberger, M. (2018). Spatial navigation deficits - overlooked cognitive marker for preclinical Alzheimer disease? Nature Reviews. Neurology. https://doi.org/10.1038/s41582-018-0031-x.

  • Danziger, S., Levav, J., & Avnaim-Pesso, L. (2011). Extraneous factors in judicial decisions. Proceedings of the National Academy of Sciences, 108(17), 6889–6892.

    Google Scholar 

  • Deco, G., Cabral, J., Saenger, V. M., Boly, M., Tagliazucchi, E., Laufs, H., Van Someren, E., Jobst, B., Stevner, A., & Kringelbach, M. L. (2018). Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states. NeuroImage, 169, 46–56.

    PubMed  Google Scholar 

  • Deli, E., Peters, J., & Tozzi, A. (2017). Relationships between short and fast brain timescales. Cognitive Neurodynamics, 11, 539. https://doi.org/10.1007/s11571-017-9450-4.

    Article  PubMed  PubMed Central  Google Scholar 

  • Deli, E., Tozzi, A., & Peters, J. F. (2018). The thermodynamic analysis of neural computation. Journal of Neuroscience & Clinical Research, 3, 1.

  • Dennett, D. C. (2018). Facing up to the hard question of consciousness. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 373(1755), 20170342. https://doi.org/10.1098/rstb.2017.0342.

    Article  PubMed  PubMed Central  Google Scholar 

  • Di Domenico, S. I., & Ryan, R. M. (2017). The emerging neuroscience of intrinsic motivation: a new frontier in self-determination research. Frontiers in Human Neuroscience, 11, 145. https://doi.org/10.3389/fnhum.2017.00145.

    Article  PubMed  PubMed Central  Google Scholar 

  • Di Domenico, S. I., Fournier, M. A., Rodrigo, A. H., Dong, M., Ayaz, H., & Ruocco, A. C. (2018). Need fulfillment and the modulation of medial prefrontal activity when judging remembered past, perceived present, and imagined future identities. Self and Identity, 17(3), 259–275.

    Google Scholar 

  • Dixon, M. L., Thiruchselvamc, R., Todd, R., & Christoff, K. (2017). Emotion and the prefrontal cortex: an integrative review. Psychological Bulletin, 143(10), 1033–1081.

    PubMed  Google Scholar 

  • Eling, C., Guedens, R., & Jacobson, T. (2006). Nonequilibrium thermodynamics of spacetime. Physical Review Letters, 96, 121301. https://doi.org/10.1103/PhysRevLett.96.121301.

    Article  PubMed  Google Scholar 

  • El-Kalliny, M. M., Wittig, J. H., Sheehan, T. C., Sreekumar, V., Inati, S. K., et al. (2019). Changing temporal context in human temporal lobe promotes memory of distinct episodes. Nature Communications, 10(1), 203.

    PubMed  PubMed Central  Google Scholar 

  • Fang, H., He, B., Fu, H., Zhang, H., Mo, Z., & Meng, L. (2018). A surprising source of self-motivation: prior competence frustration strengthens one's motivation to win in another competence-supportive activity. Frontiers in Human Neuroscience, 12, 314. https://doi.org/10.3389/fnhum.2018.00314.

    Article  PubMed  PubMed Central  Google Scholar 

  • Farah, M. J. (2017). The neuroscience of socioeconomic status: correlates, causes, and consequences. Neuron, 96(1), 56–71.

    PubMed  Google Scholar 

  • Fingelkurts, A. A., & Fingelkurts, A. A. (2014). Present moment, past, and future: mental kaleidoscope. Frontiers in Psychology, 5, 395. https://doi.org/10.3389/fpsyg.2014.00395.

    Article  PubMed  PubMed Central  Google Scholar 

  • Fingelkurts, A. A., and Fingelkurts, A. A. (2015). Operational architectonics methodology for EEG analysis: theory and results, neuromethods, Ed. Sakkalis V. springer 1–58.

  • Fingelkurts, A. A., Fingelkurts, A. A. and Neves, C. F. H. (2019) Consciousness as a phenomenon in the operational architectonics of brain organization: Criticality and selforganization considerations. Chaos, Solitons & Fractals. https://doi.org/10.1016/locate/j.chaos.2013.02.007.

  • Fowers, B.J., (2017). The deep psychology of eudaimonia and virtue: belonging, Loyalty and the Anterior Cingulate Cortex. Varieties of Virtue Ethics Springer pp 199–216.

  • Fredrickson, B. L., & Joiner, T. (2002). Positive emotions trigger upward spirals toward emotional wellbeing. American Psychological Society, 13(2), 172–175.

    Google Scholar 

  • Friston, K., FitzGerald, T., Rigoli, F., Schwartenbeck, P., & Pezzulo, G. (2017). Active inference: a process theory. Neural Computation, 29(1), 1–49. https://doi.org/10.1162/NECO_a_00912.

    Article  PubMed  Google Scholar 

  • Fry, R. L. (2017). Physical intelligence and thermodynamic Computing. Entropy, 19, 1–27. https://doi.org/10.20944/PREPRINTS201701.0097.V1.

    Article  Google Scholar 

  • Galski, T., Williams, J. B., & Ehle, H. T. (2000). Effects of opioids on driving ability. Journal of Pain and Symptom Management, 19, 200–208.

    PubMed  Google Scholar 

  • Gilbert, D. T., et al. (2009). The surprising power of neighborly advice. Science (New York, N.Y.), 323(5921), 1617–1619.

    Google Scholar 

  • Glannon, W. (2015). Neuromodulation and the mind-brain relation. Frontiers in Integrative Neuroscience, 9, 22.

    PubMed  PubMed Central  Google Scholar 

  • Goldenberg, A., Garcia, D., Suri, G., Halperin, E., & Gross, J. (2017). August 17. The Psychology of Collective Emotions. https://doi.org/10.31219/osf.io/bc7e6.

  • Guterstam, A., Abdulkarim, Z., and Ehrsson, H. H., (2015). Illusory ownership of an invisible body reduces autonomic and subjective social anxiety responses. Scientific reports. 5, 9831 doi: 10. 1038/srep09831.

  • Hughes, G., Desantis, A., & Waszak, F. (2013). Attenuation of auditory N1 results from identityspecific action-effect prediction. The European Journal of Neuroscience, 37, 1152–1158. https://doi.org/10.1111/ejn.12120.

    Article  PubMed  Google Scholar 

  • Hunt, T., & Schooler, J. W. (2019). The easy part of the hard problem: a resonance theory of consciousness. Frontiers in Human Neuroscience, 13, 378. https://doi.org/10.3389/fnhum.2019.00378.

    Article  PubMed  PubMed Central  Google Scholar 

  • Inzlicht, M., Bartholow, B. D., & Hirsh, J. B. (2015). Emotional foundations of cognitive control. Trends in Cognitive Sciences, 19, 126–132.

    PubMed  PubMed Central  Google Scholar 

  • Jentzsch, I., Leuthold, H., & Richard, R. K. (2004). Beneficial effects of ambiguous precues: parallel motor preparation or reduced premotoric processing time? Psychophysiol., 41(2), 231–244 Epub 2004/03/23.

    Google Scholar 

  • Jeunehomme, O., & D’Argembeau. (2018). Event segmentation and the temporal compression of experience in episodic memory. Psychological Research. https://doi.org/10.1007/s00426-018-1047-y.

  • Kao, F.-C., Wang, S. R., & Chang, Y. (2015). Brainwaves analysis of positive and negative emotions. ISAA, 12, 1263–1266.

    Google Scholar 

  • Kaczmarek, L. D., Behnke, M., Kashdan, T. B., Kusiak, A., Marzec, K., Mistrzak, M., & Włodarczyk, M. (2017). Smile intensity in social networking profile photographs is related to greater scientific achievements. The journal of positive psychology, 1-5.

  • Kaiser, R. H., Whitfield, S., Gabrieli, D. G., et al. (2016). Dynamic resting-state functional connectivity in major depression. Neuropsychopharmacology., 41(7), 1822–1830.

    PubMed  Google Scholar 

  • Kennon, A., (2018) G2 -manifolds and M-theory Compactifications. arXiv:1810.12659v2 [hep-th].

  • Keppler, J. (2018). The role of the brain in conscious processes: a new way of looking at the neural correlates of consciousness. Frontiers in Psychology, 9, 1346. https://doi.org/10.3389/fpsyg.2018.01346.

    Article  PubMed  PubMed Central  Google Scholar 

  • Khrennikov, A. (2015a). Quantum-like modeling of cognition. Frontiers in Physics, 3(77), 1–77.

    Google Scholar 

  • Khrennikov, A. (2015b). Quantum-like model of unconscious–conscious dynamics. Frontiers in Psychology, 6, 997. https://doi.org/10.3389/fpsyg.2015.00997.

    Article  PubMed  PubMed Central  Google Scholar 

  • Khrennikov, A., Alodjants, A., Trofimova, A., & Tsarev, D. (2018). On interpretational questions for quantumLike modeling of social lasing. Entropy, 20, 921.

    Google Scholar 

  • Kleiner, T. M. (2018). Public opinion polarisation and protest behavior. European Journal of Political Research, 57(4), 941–962.

    Google Scholar 

  • Kok, P., Mostert, & de Lange. (2017). Prior expectations induce prestimulus sensory templates. PNAS, 114(39), 10473–10478.

    PubMed  Google Scholar 

  • Le, Q. V., Nishimaru, H., Matsumoto, J., Takamura, Y., Nguyen, M. N., Mao, C. V., et al. (2018). Gamma oscillations in the superior colliculus and pulvinar in response to faces support discrimination performance in monkeys. Neuropsychologia. https://doi.org/10.1016/j.neuropsychologia.2017.10.015.

  • Ledoux, J. E., et al. (2017). A higher-order theory of emotional consciousness. https://doi.org/10.1073/pnas.1619316114.

    Book  Google Scholar 

  • Libet, B. (1985). Unconscious cerebral initiative and the role of conscious will in voluntary action. The Behavioral and Brain Sciences, 8, 529–566.

    Google Scholar 

  • Li, X., Zhu, Z., Zhao, W., Sun, Y., Wen, D., Xie, Y., et al. (2018). Decreased resting-state brain signal complexity in patients with mild cognitive impairment and Alzheimer’s disease: a multi-scale entropy analysis. Biomedical Optics Express, 9, 1916–1929. https://doi.org/10.1364/BOE.9.001916.

    Article  PubMed  PubMed Central  Google Scholar 

  • Li, T., Tang, H., Zhu, J., & Zhang, J. H. (2019). The finer scale of consciousness: quantum theory. Annals of Translational Medicine, 7(20), 585. https://doi.org/10.21037/atm.2019.09.09.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lin, Z., Feng, M., Nogueira dos Santos, C., Yu, M., Xiang, B., Zhou, B., and Bengio Y., (2017) A structured self-attentive sentence embedding. arXiv preprint arXiv:1703.03130.

  • Liu, Z., Zhang, T., & Lan, Q. (2014a). An extended SISa model for sentiment contagion. Discrete Dynamics in Nature and Society, 262384, 7.

    Google Scholar 

  • Liu, D., et al. (2014b). Medial prefrontal activity during delay period contributes to learning of a working memory task. Science, 346, 458–463.

    PubMed  Google Scholar 

  • Lubashevsky, I., (2018) Psychophysical laws as reflection of mental space properties arXiv:1806.11077v1 [q-bio.NC].

  • Lupien, S. J., Maheu, F., Tu, M., Fiocco, A., & Schramek, T. E. (2007). The effects of stress and stress hormones on human cognition. Implications for the field of brain and cognition. Brain and Cognition, 65(3), 209–237.

    PubMed  Google Scholar 

  • Magee, J. C., & Smith, P. K. (2013). The social distance theory of power. Personality and Social Psychology Review, 17, 158–186.

    PubMed  Google Scholar 

  • Maglio, S. J., Trope, Y., & Liberman, N. (2013). Distance from a distance: psychological distance reduces sensitivity to any further psychological distance. J Experimental Psycholology General, 142, 644–657.

    Google Scholar 

  • Mancini, F., Longo, M. R., Kammers, M. P. M., & Haggard, P. (2011). Visual distortion of body size modulates pain perception. Psychological Science : APS, 22(3), 325–330.

    Google Scholar 

  • Mantini, D., & Vanduffel, W. (2013). Emerging roles of the brain’s default network. Neuroscientist, 19(1), 76–87.

    PubMed  Google Scholar 

  • Mathewson, K., Back, D., Ro, T., Maclin, L. M., Lo, K., & Fabiani, M. (2012). Dynamics of alpha Control: Preparatory Suppression of Posterior Alpha Oscillations by Frontal Modulators Revealed with Combined EEG and Event-related Optical Signal. Journal of Cognitive Neuroscience, 26, 2400. https://doi.org/10.1162/jocna00637.

    Article  Google Scholar 

  • Muller, L., Chavane, F., Reynolds, J., & Sejnowski, T. J. (2018). Cortical travelling waves: mechanisms and computational principles Nat. Reviews in the Neurosciences, 19, 255–268.

    Google Scholar 

  • McCraty, R., & Atkinson, M. (2014). Electrophysiology of intuition: pre-stimulus responses in group and individual participants using a roulette paradigm. Global Advances in Health Medicine, 3(2), 16–27.

    PubMed  Google Scholar 

  • Naish, P. (2001). Hypnotic time perception: busy beaver or tardy timekeeper. Contemporary Hypnosis, 18, 87–99.

    Google Scholar 

  • Neupert, S. D., & Allaire, J. C. (2012). I think I can, I think I can: examining the within-person coupling of control beliefs and cognition in older adults. Psychology and Aging, 2(2), 145–152.

    Google Scholar 

  • Oei, N. Y. L., Rombouts, S. A. R. B., Soeter, R. P., van Gerven, J. M., & Both, S. (2012). Dopamine modulates reward system activity during subconscious processing of sexual stimuli. Neuropsychopharmacology, 37, 1729–1737.

    PubMed  PubMed Central  Google Scholar 

  • Oohashi, T., et al. (2000). Inaudible high-frequency sounds affect brain activity: hypersonic effect. Journal of Neurophysiology, 83, 3548–3558.

    PubMed  Google Scholar 

  • Okon-Singer, H., Hendler, T., Pessoa, L., & Shackman, A. J. (2015). The neurobiology of emotion cognition interactions: fundamental questions and strategies for future research. Frontiers in Human Neuroscience, 9, 58. https://doi.org/10.3389/fnhum.2015.00058.

    Article  PubMed  PubMed Central  Google Scholar 

  • Papazacharias, A., Taurisano, P., Fazio, L., et al. (2015). Aversive emotional interference impacts behavior and prefronto-striatal activity during increasing attentional control. Frontiers in Behavioral Neuroscience, 9, 97.

    PubMed  PubMed Central  Google Scholar 

  • Peer, M., Salomon, R., Goldberg, I., Blanke, O., & Arzy, S. (2015). Brain system for mental orientation in space, time, and person. Proceedings of the National Academy of Sciences of the United States of America, 112(35), 11072–11077. https://doi.org/10.1073/pnas.1504242112.

    Article  PubMed  PubMed Central  Google Scholar 

  • Peng, L., & Xie, T. (2016). Making similarity versus difference comparison affects perceptions after bicultural exposure and consumer reactions to culturally mixed products. Journal of Cross Cultural Psychology, 47(10), 1380–1394. https://doi.org/10.1177/0022022116668409.

    Article  Google Scholar 

  • Pepperell, R. (2018). Consciousness as a physical process caused by the organization of energy in the brain. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2018.02091.

  • Peters, K., & Kashima, Y. (2015). A multimodal theory of affect diffusion. Psychological Bulletin, 141, 966–992.

    PubMed  Google Scholar 

  • Porras, D. C., Zeilig, G., Doniger, G. M., Bahat, Y., Inzelberg, R., & Plotnik, M. (2020). Seeing Gravity: Gait Adaptations to Visual and Physical Inclines – A Virtual Reality Study. Frontiers in Neuroscience. https://doi.org/10.3389/fnins.2019.01308.

  • Pothos, E. M., & Busemeyer, J. R. (2009). A quantum probability model explanation for violations of ‘l’ derationacision theory. Proceedings of the Royal Society B, 276(1665), 2171–2178.

    PubMed  Google Scholar 

  • Raichle, M. E., & Snyder, A. Z. (2007). A default mode of brain function: a brief history of an evolving idea. NeuroImage, 37(4), 1083–1090.

    PubMed  Google Scholar 

  • Remmers, C., & Zander, T. (2018). Why you don’t see the forest for the trees when you are anxious: anxiety impairs intuitive decision making. Clinical Psychological Science, 6, 48–62.

    Google Scholar 

  • Rocha, R. R., et al. (2018). Homeostatic plasticity and emergence of functional networks in a whole-brain model at criticality. Scientific Reports, 8, 15682.

    PubMed  PubMed Central  Google Scholar 

  • Rosenzweig, E. S., Brock, J. H., Culbertson, M. D., et al. (2009). Extensive spinal decussation and bilateral termination of cervical corticospinal projections in rhesus monkeys. The Journal of Comparative Neurology, 513(2), 151–163.

    PubMed  PubMed Central  Google Scholar 

  • Rudd, M., Aaker, J., & Vohs, K. (2012). Awe expands people’s perception of time, alters decision making, and enhances well-being. Psychological Science, 23(10), 1130–1136.

    PubMed  Google Scholar 

  • SAATY, T. L., & VARGAS, L. G. (2017). Origin of neural firing and synthesis in making comparisons. European Journal of Pure and Applied Mathematics, 10(4), 602–613.

    Google Scholar 

  • Saarimäki, H., Gostopoulos, A., Jääskeläinen, I. P., Lampinen, J., Vuilleumier, P., Sams, M., & Nummenmaa, L. (2015). Discrete neural signatures of basic emotions. Cerebral Cortex, 26, 1–11. https://doi.org/10.1093/cercor/bhv086.

    Article  Google Scholar 

  • Saarimäki, H. et al. (2017) Distributed affective space represents multiple emotion categories across the brain. bioRxiv. Doi: https://doi.org/10.1101/123521

  • Sánchez-Rodríguez, A., Willis, G. B., Rodríguez-Bailón, R,  (2019). Economic and social distance: perceived income inequality negatively predicts an interdependent self-construal. International Journal of Psychology, 54(1), 117–125.

  • Schoeller, F. (2016). The satiation of natural curiosity. International Journal of Signs and Semiotic Systems, 5(2), 2.

    Google Scholar 

  • Schoeller, F., Perlovsky, L., & Arseniev, D. (2018). Physics of mind: experimental confirmations of theoretical predictions. Physics of Life Reviews, 25, 45–68.

    PubMed  Google Scholar 

  • Schultz, W. (2007). Reward signals. Scholarpedia, 2(6), 2184.

    Google Scholar 

  • Shinbrot, T., & Young, W. (2008). Why decussate? Topological constraints on 3D wiring. Anat Rec (Hoboken), 291(10), 1278–1292.

    Google Scholar 

  • Shwartz-Ziv, R. and Tishby, N.(2017) Opening the black box of deep neural networks via information. https://arxiv.org/pdf/1703.00810.pdf

  • Selesnick, S. A., Rawling, J. P., & Piccinini, G. (2017). Quantum-like behavior without quantum physics I. Kinematics of Neural-like systems. Journal of Biological Physics, 43, 415–444.

    PubMed  PubMed Central  Google Scholar 

  • Selesnick, S. A., Rawling, J. P., & Piccinini, G. (2018). Quantum-like behavior without quantum physics II. Kinematics of neural-like systems. Journal of Biological Physics, 44(4), 501–538.

    PubMed  PubMed Central  Google Scholar 

  • Sels, et al. (2017). Partner-expected affect: how you feel now is predicted by how your partner thought you felt before. Emotion., 17(7), 1066–1077.

    PubMed  Google Scholar 

  • Seo, D., Patrick, C. J., & Kennealy, P. J. (2008). Role of serotonin and dopamine system interactions in the neurobiology of impuslive aggression and its comorbidity with other clinical disorders. Aggression and Violent Behavior, 13(5), 383–395.

    PubMed  PubMed Central  Google Scholar 

  • D. Silver, T. Hubert, J. Schrittwieser, I. Antonoglou et al., (2017) “Mastering chess and shogi by self-play with a general reinforcement learning algorithm,” arXiv preprint arXiv:1712.01815.

  • Smiljanić, R., & Bradlow, A. R. (2009). Speaking and hearing clearly: talker and listener factors in speaking style changes. Linguistics and Language Compass, 3(1), 236–264.

  • Soares, S., et al. (2016). Midbrain dopamine neurons control judgment of time. Science, 354, 1273.

    PubMed  Google Scholar 

  • Spreng, R. N. (2013). Examining the role of memory in social cognition. Frontiers in Psychology, 4, 437. https://doi.org/10.3389/fpsyg.2013.00437.

    Article  PubMed  PubMed Central  Google Scholar 

  • Stefanucci, J. K., Gagnon, K. T., & Lessard, D. A. (2011). Follow your heart: emotion adaptively influences perception. Social and Personality Psychology Compass, 5(6), 296–308.

    PubMed  PubMed Central  Google Scholar 

  • Street, S. (2016). Neurobiology as information physics. Frontiers in Systems Neuroscience. https://doi.org/10.3389/fnsys.2016.00090.

  • Stanghellini, G., Ballerini, M., Presenza, S., Mancini, M., Northoff, G., & Cutting, J. (2016). Abnormal time experiences in major depression. An empirical qualitative study. Psychopathology. https://doi.org/10.1159/000452892.

  • Schwartz, J. M., et al. (2005). Quantum physics in neuroscience and psychology: a 19 neurophysical model of mind-brain interaction. Philosophical Transactions of the Royal Society of London B, 360, 1309–1327.

    Google Scholar 

  • Tamir, D. I., & Mitchell, J. P. (2011). He default network distinguishes construals of proximal versus distal events.J. Cognitive Neuroscience, 23, 2945–2955.

    Google Scholar 

  • Tavares, R. M., et al. (2015). A map for social navigation in the human brain. Neuron, 87, 231–243. https://doi.org/10.1016/j.neuron.2015.06.011.

    Article  PubMed  PubMed Central  Google Scholar 

  • Teki, S. (2016). A citation-based analysis and review of significant papers on timing and time perception. Frontiers in Neuroscience, 10, 330.

    PubMed  PubMed Central  Google Scholar 

  • Terhune, D., Croucher, M., Marcusson-Clavertz, D., Macdonald, J. (2017). Time contracts and temporal precision declines when the mind wanders. http://research.gold.ac.uk/20499/1/Terhune%20et%20al_2017_JEPHPP.pdf.

  • Tipples, J., (2018) Increased Frustration Predicts the Experience of Time Slowing-Down: Evidence from an Experience Sampling Study. 6:2 https://doi.org/10.1163/22134468-20181134

  • Touroutoglou, A., Lindquist, K. A., Dickerson, B. C., & Barrett, L. F. (2015). Intrinsic connectivity in the human brain does not reveal networks for “basic” emotions. Social Cognitive and Affective Neuroscience, 10, 1257. https://doi.org/10.1093/scan/nsv013.

    Article  PubMed  PubMed Central  Google Scholar 

  • Tozzi, A., & Peters, J. F. (2016). A topological approach unveils system invariances and broken symmetries in the brain. Journal of Neuroscience Research, 94(5), 351–365. https://doi.org/10.1002/jnr.23720.

    Article  PubMed  Google Scholar 

  • Tozzi, A., Peters, J. F., Fingelkurts, A. A., Fingelkurts, A. A., & Marijuán, P. C. (2017). Topodynamics of metastable brains. Physics of Life Reviews, 21, 1. https://doi.org/10.1016/j.plrev.2017.03.001.

    Article  PubMed  Google Scholar 

  • Tozzi, A. (2018). Einstein and the physics of the mind: comment on "physics of mind: experimental confirmations of theoretical predictions" by Felix Schoeller et al. Physics of Life Reviews, 2018. https://doi.org/10.1016/j.plrev.2018.01.009.

  • Tsao, A., et al. (2018). Integrating time from experience in the lateral entorhinal cortex. Nature 561, 57–62 (2018), 25, 90. https://doi.org/10.1038/s41586-018-0459-6.

  • Uithol, S., & Schurger, A. (2016). Reckoning the moment of reckoning in spontaneous voluntary movement. PNAS, 4(113), 817–819. https://doi.org/10.1073/pnas.1523226113.

    Article  Google Scholar 

  • Venkatraman, A., Edlow, B. L., & Immordino-Yang, M. H. (2017). The brainstem in emotion: a review. Frontiers in Neuroanatomy, 11, 15. https://doi.org/10.3389/fnana.2017.00015.

    Article  PubMed  PubMed Central  Google Scholar 

  • Wang, Z., Solloway, T., Shiffrin, R. M., & Busemeyer, J. R. (2014). Context effects produced by question orders reveal quantum nature of human judgments. PNAS, 111(26), 9431–9436.

    PubMed  Google Scholar 

  • Wang, L., Zhang, X., Li, L., & Meng, L. (2018). Taking others as a mirror: contingent social comparison promotes task engagement. Frontiers in Human Neuroscience, 12, 476. https://doi.org/10.3389/fnhum.2018.00476.

    Article  PubMed  PubMed Central  Google Scholar 

  • Wendt, A. (2015). Quantum mind and social science. Unifying physical and social ontology. Cambridge: Cambridge University Press.

    Google Scholar 

  • Xu, A. J., & Schwarz, N. (2018). How one thing leads to another: spillover effects of behavioral mind-sets. Current Directions in Psychological Science, 27(1), 51–55.

    Google Scholar 

  • Yamada, Y., and Kawabe, T. (2011). Emotion colors time perception unconsciously. Consciousness and cognition. Elsevier Inc. 20(4), 1–7.

  • Yih, J., Uusberg, A., Taxer, J. L., & Gross, J. J. (2018). Better together: a unified perspective on appraisal and emotion regulation. Cognition & Emotion, 33, 41. https://doi.org/10.1080/02699931.2018.1504749.

    Article  Google Scholar 

  • Vulliemoz, S., Raineteau, O., & Jabaudon, D. (2005). Reaching beyond the midline: why are human brains cross wired? The Lancet Neurology, 4(2), 87–99.

    PubMed  Google Scholar 

  • Wyart, V., & Sergent, C. (2009). The phase of ongoing EEG oscillations uncovers the fine temporal structure of conscious perception. The Journal of Neuroscience, 29(41), 12839–12841.

    PubMed  PubMed Central  Google Scholar 

  • Zadra, J. R., & Clore, G. L. (2011). Emotion and perception: the role of affective information. Wiley interdisciplinary reviews. Cognitive Science, 2(6), 676–685.

    PubMed  Google Scholar 

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Deli, E. Can the Fermionic Mind Hypothesis (FMH) Explain Consciousness? The Physics of Selfhood. Act Nerv Super 62, 35–47 (2020). https://doi.org/10.1007/s41470-020-00070-4

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