This article addresses the question of how information is organized in the human mind, particularly the fundamental possibility of extracting any kind of structural units from the array of information perceived and processed, and the potential for identifying the smallest, “elementary,” unit of information applicable to consciousness. The process of perception is regarded as a process in which information received from receptors is sequentially generalized, compared with previously acquired experience, and converted to material for forming higher-level abstract concept. The process of “understanding” concepts is considered as a process opposite to the process forming them, i.e., a process during which the mind’s encounter with a previously assimilated concept reactivates the multitude of images and associations which previously served as the material for its formation. The question of identifying key characteristics and most significant associative connections in the array of information is addressed with respect to the normal mind and the pathology of schizophrenia spectrum disorders.
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References
B. V. Zeigarnik, Pathopsychology, Moscow University Press, Moscow (1986).
A. M. Ivanitsky, “The cerebral basis of subjective experience: an information synthesis hypothesis,” Zh. Vyssh. Nerv. Deyat., 46, No. 2, 241 (1996).
A. M. Ivanitsky, “’Reading the brain:’ progress, perspectives, and ethical problems,” Zh. Vyssh. Nerv. Deyat., 62, No. 2, 133–142 (2012).
R. S. Orlov and A. D. Nozdrachev, Normal Physiology: A Textbook (2009).
Yu. F. Polyakov, Pathology of Cognitive Activity in Schizophrenia, Moscow (1974).
V. Ya. Sergin, “Perceptual binding of sensory events: the inclusive characteristic hypothesis,” Zh. Vyssh. Nerv. Deyat., 52, No. 6, 645–655 (2002).
V. B. Strelets, “Studies of brain bioelectrical activity in schizophrenia patients: event-related potential data,” Nevropatol. Psikhiatr., 68, No. 1, 82–89 (1968).
D. A. Allport, “Distributed memory, modular subsystems and dysphasia,” in: Current Perspectives in Dysphasia, S. K. Newman and R. Epstein (eds.), Churchill Livingstone; Edinburgh (1985), pp. 207–244
A. Alonso-Solís, Y. Vives-Gilabert, E. Grasa, et al., “Resting-state functional connectivity alterations in the default network of schizophrenia patients with persistent auditory verbal hallucinations,” Schizophr. Res., 161, No. 2–3, 261–268 (2015).
G. T. M. Altmann, The Ascent of Babel: An Exploration of Language, Mind, and Understanding, University Press, Oxford, England (1987).
W. L. Barsalou, “Perceptual symbol systems,” Behav. Brain Sci., 22, No. 4, 557–660 (1999).
A. Bartels and S. Zeki, “The neural correlates of maternal and romantic love,” Neuroimage, 21, 1155–1166 (2004).
S. L. Beilock, I. M. Lyons, A. Mattarella-Micke, et al., “Sports experience changes the neural processing of action language,” Proc. Natl. Acad. Sci. USA, 105, No. 36, 13269–13273 (2008).
K. C. Berridge and T. E. Robinson, “What is the role of dopamine in reward: hedonic impact, reward learning, or incentive salience,” Brain Res. Rev., 28, 309–369 (1998).
A. J. Blood and R. J. Zatorre, “Intensely pleasurable responses to music correlate with activity in brain regions implicated in reward and emotion,” Proc. Natl. Acad. Sci. USA, 98, 11818 –11823 (2001).
L. L. Chao and A. Martin, “Cortical representations of perception, naming and knowing about color,” J. Cogn. Neurosci., 11, 25–35 (1999).
M. H. Christiansen, J. Allen, and M. Seidenberg, “Learning to segment speech using multiple cues: a connectionist model,” Lang. Cogn. Process., 12, No. 2/3, 221–268 (1998).
E. G. Chrysikou, R. H. Hamilton, H. B. Coslett, et al., “Noninvasive transcranial direct current stimulation over the left prefrontal cortex facilitates cognitive flexibility in tool use,” Cogn. Neurosci., 4, No. 2, 81–9 (2013).
A. D. Craig, “How do you feel? Interoception: the sense of the physiological condition of the body,” Nat. Rev. Neurosci., 3, 655–666 (2002).
A. R. Damasio, “The brain binds entities and events by multiregional activation from convergence zones,” Neural Computation, 1, No. 1, 123–132 (1989).
N. I. Eisenberger, M. D. Lieberman, and K. D. Williams, “Does rejection hurt? An fMRI study of social exclusion,” Science, 302, 290–292 (2003).
J. L. Elman, “Finding structure in time,” Cogn. Sci., 14, 179–211 (1990).
J. L. Elman, “Learning and development in neural networks: the importance of starting small,” Cognition, 48, No. 1, 71–99 (1993).
H. C. Fibiger and A. G. Phillips, “Reward, motivation, cognition: psychobiology of mesotelencephalic dopamine systems,” in: Handbook of Physiology, Section 1: The Nervous System, Vol. 4: Intrinsic Regulatory Systems of the Brain, F. E. Bloom (ed.), Oxford University Press, New York (1986), pp. 647–675.
H. C. Fibiger and A. G. Phillips, “Mesocorticolimbic dopamine systems and reward,” Ann. N. Y. Acad. Sci., 537, 206–215 (1988).
A. J. Gaebler, K. Mathiak, J. W. Koten, Jr., et al., “Auditory mismatch impairments are characterized by core neural dysfunctions in schizophrenia,” Brain, 138, No. 5, 1410–1423 (2015).
M. A. Glenberg and P. M. Kaschak, “Grounding language in action,” Psychon. Bull. Rev., 9, No. 3, 558–565 (2002).
M. A. Glenberg, M. Sato, L. Cattaneo, et al., “Processing abstract language modulates motor system activity,” Q. J. Exp. Psychol. (Hove), 61, No. 6, 905–919 (2008).
S. Heckers, “Neuropathology of schizophrenia: cortex, thalamus, basal ganglia, and the neurotransmitter-specifi c projection systems,” Schizophr. Bull., 23, No. 3, 403–421 (1997).
K. Hoenig, C. Müller, B. Herrnberger, et al., “Neuroplasticity of semantic representations for musical instruments in professional musicians,” Neuroimage, 56, No. 3, 1714–1725 (2011).
K. Hoenig, E. J. Sim, V. Bochev, et al., “Conceptual flexibility in the human brain: dynamic recruitment of semantic maps from visual, motor, and motion-related areas,” J. Cogn. Neurosci., 20, No. 10, 1799–814 (2008).
M. W. Howard, K. H. Shankar, and U. K. Jagadisan, “Constructing semantic representations from a gradually changing representation of temporal context,” Top. Cogn. Sci., 3, 48–73 (2011).
I. P. Kan, J. W. Kable, A. Van Scoyoc, et al., “Fractionating the left frontal response to tools: dissociable effects of motor experience and lexical competition,” J. Cogn. Neurosci., 18, No. 2, 267–277 (2006).
S. Kapur, “Psychosis as a state of aberrant salience: a framework linking biology, phenomenology, and pharmacology in schizophrenia,” Am. J. Psychiatry, 160, No. 1, 13–23 (2003).
J. Kirby, P. Moore, and N. Schofield, “Verbal and visual learning styles,” Contemp. Educ. Psychol., 13, 169–184 (1988).
D. J. Kraemer, L. M. Rosenberg, and S. L. Thompson-Schill, “The neural correlates of visual and verbal cognitive styles,” J. Neurosci., 29, No. 12, 3792–3798 (2009).
D. Kumaran, D. Hassabis, and J. L. McClelland, “What learning systems do intelligent agents need? Complementary learning systems theory updated,” Trends Cogn. Sci., 20, 512–534 (2016).
D. Kumaran and J. L. McClelland, “Generalization through the recurrent interaction of episodic memories: a model of the hippocampal system,” Psychol. Rev., 119, 573–616 (2012).
J. Kurczek, S. Brown-Schmidt, and M. Duff, “Hippocampal contributions to language: evidence of referential processing deficits in amnesia,” J. Exp. Psychol. Gen., 142, No. 4, 1346–54 (2013).
J. Kurczek and M. C. Duff, “Cohesion, coherence, and declarative memory: Discourse patterns in individuals with hippocampal amnesia,” Aphasiology, 25, No. 6–7, 700–712 (2011).
G. Lakoff and M. Johnson, Metaphors we Live by, London, Chicago (1980).
S. K. Lee, J. W. Chun, J. S. Lee, et al., “Abnormal neural processing during emotional salience attribution of affective asymmetry in patients with schizophrenia,” PLoS One, 9, No. 3, e90792 (2014).
L. L. Long, J. G. Bunce, and J. J. Chrobak, “Theta variation and spatiotemporal scaling along the septotemporal axis of the hippocampus,” Front. Syst. Neurosci., 9, 37 (2015).
G. Lupyan, “Linguistically modulated perception and cognition: the label-feedback hypothesis,” Front. Psychol., 3, 54 (2012).
G. Lupyan, D. Mirman, R. Hamilton, and S. L. Thompson-Schill, “Categorization is modulated by transcranial direct current stimulation over left prefrontal cortex,” Cognition, 124, No. 1, 36–49 (2012).
A. Martin, J. V. Haxby, F. M. Lalonde, et al., “Discrete cortical regions associated with knowledge of color and knowledge of action,” Science, 379, 649–652 (1995).
A. R. Martin, “Functional neuroimaging of semantic memory,” in: Functional Neuroimaging of Semantic Memory, R. Cabaza and A. Kingstone (eds.), MIT Press, Cambridge, Massachusetts (2001), pp. 153–186.
J. L. McClelland, B. L. McNaughton, and R. C. O’Reilly, “Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory,” Psychol. Rev., 102, No. 3, 419–457 (1995).
V. Menon and D. J. Levitin, “The rewards of music listening: response and physiological connectivity of the mesolimbic system,” Neuroimage, 28, 175–184 (2005).
V. Menon, “Large-scale brain networks and psychopathology: a unifying triple network model,” Trends Cogn. Sci., 15, 483–506 (2011).
C. J. Mummery, K. Patterson, J. R. Hodges, and C. J. Price, “Functional neuroanatomy of the semantic system: divisible by what,” J. Cogn. Neurosci., 10, No. 6, 766–777 (1998).
E. Musz and S. L. Thompson-Schill, “Semantic variability predictsneural variability of object concepts,” Neuropsychologia, 76, 41–51(2015).
K. A. Norman and R. C. O’Reilly, “Modeling hippocampal and neocortical contributions to recognition memory: A complementary-learning-systems approach,” Psychol. Rev., 110, 611–646 (2002).
D. Ongur and J. L. Price, “The organization of networks within the orbital and medial prefrontal cortex of rats, monkeys, and humans,”Cereb. Cortex, 10, 206–219 (2000).
H. Op de Beeck and R. Vogels, “Spatial sensitivity of Macaque inferior temporal neurons,” J. Comp. Neurol., 426, 505–518 (2000).
L. Palaniyappan and P. F. Liddle, “Does the salience network play a cardinal role in psychosis? An emerging hypothesis of insular dysfunction,” J. Psychiatry Neurosci., 37, No. 1, 17–27 (2012).
L. Palaniyappan, M. Simmonite, T. P. White, et al., “Neural primacy of the salience processing system in schizophrenia,” Neuron, 79, 814–828 (2013).
R. Peyron, B. Laurent, and L. Garcia-Larrea, “Functional imaging of brain responses to pain. A review and meta-analysis,” Neurophysiol. Clin., 30, 263–288 (2000).
J. A. Phillips, U. Noppeney, G. W. Humphreys, and C. J. Price, “Can segregation within the semantic system account for category-specificdeficits,” Brain, 125, No. 9, 2067–2080 (2002).
J. Poppenk, H. R. Evensmoen, M. Moscovitch, and L. Nadel, “Longaxis specialization of the human hippocampus,” Trends Cogn. Sci., 17, No. 5, 230–240 (2013).
F. Pulvermüller, M. Härle, and F. Hummel, “Walking or talking?: Behavioral and neurophysiological correlates of action verb processing* 1,” Brain Lang., 78, No. 2, 143–168 (2001).
F. Pulvermüller, “How neurons make meaning: brain mechanisms for embodied and abstract-symbolic semantics,” Trends Cogn. Sci., 17, No. 9, 458–70 (2013).
P. S. Quinn and M. H. Johnson, “The emergence of category representations in infants: A connectionist analysis,” J. Exp. Child Psychol., 66, 236–263 (1997).
P. S. Quinn and M. H. Johnson, “Global before basic category representations in connectionist networks and 2-month-old infants,” Infancy, 1, 31–46 (2000).
J. Rodríguez-Ferreiro, S. P. Gennari, R. Davies, and F. Cuetos, “Neural correlates of abstract verb processing,” J. Cogn. Neurosci., 23, No. 1, 106–18 (2011).
T. T. Rogers, J. Hocking, A. Mechelli, et al., “Fusiform activation to animals is driven by the process, not the stimulus,” J. Cogn. Neurosci., 17, No. 3, 434–45 (2005).
E. Rosch, C. B. Mervis, W. D. Gray, et al., “Basic objects in natural categories,” Cogn. Psychol., 8, 382–439 (1976).
A. C. Schapiro, N. B. Turk-Browne, M. M. Botvinick, and K. A. Norman, “Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning,” Phil. Trans. R. Soc. Lond. B. Biol. Sci., 5, No. 1711, 372 (2017).
W. W. Seeley, V. Menon, A. F. Schatzberg, et al., “Dissociable intrinsic connectivity networks for salience processing and executive control,” J. Neurosci., 27, No. 9, 2349–2356 (2007).
T. Singer, B. Seymour, J. O’Doherty, et al., “Empathy for pain involves the affective but not sensory components of pain,” Science, 303, 1157–1162 (2004).
K. Tanaka, “Inferotemporal cortex and object vision,” Annu. Rev. Neurosci., 19, 109–139 (1996).
S. L. Thompson-Schill, G. K. Aguirre, M. D’Esposito, and M. J. Farah, “A neural basis for category and modality specificity of semantic knowledge,” Neuropsychologia, 37, No. 6, 671–6 (1999).
A. Treisman, “Properties, parts, and objects,” in: Handbook of Human Perception and Performance, K. R. Boff et al. (eds.) (1986), 1st ed., Vol. 2, pp. 37.1–35.70.
W. O. Van Dam, M. van Dijk, H. Bekkering, and S. A. Rueschemeyer, “Flexibility in embodied lexical-semantic representations,” Hum. Brain Mapp., 33, No. 10, 2322–33 (2012).
C. L. Wiggs, J. Weisberg, and A. Martin, “Neural correlates of episodic and semantic memory retrieval,” Neuropsychologia, 37, 103–118 (1999).
R. M. Willems and J. C. Francken, “Embodied cognition: taking the next step,” Front. Psychol., 3, 582 (2012).
R. M. Willems, P. Hagoort, and D. Casasanto, “Body-specific representationsof action verbs: neural evidence from right- and lefthanders,”Psychol. Sci., 21, No. 1, 67–74 (2010).
J. M. Wolfe, “Guided Search 2.0: A revised model of visual search,” Psychonom. Bull. Rev., 1, No. 2, 202–238 (1999).
D. Wotruba, K. Heekeren, L. Michels, et al., “Symptom dimensions are associated with reward processing in unmedicated persons at riskfor psychosis,” Front. Behav. Neurosci., 18, No. 8, 382–389 (2014).
S. Yamane, S. Kaji, and K. Kawano, “What facial features activate face neurons in the inferotemporal cortex of the monkey,” Exp.Brain Res., 73, 209–214 (1988).
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Translated from Uspekhi Fiziologicheskikh Nauk, Vol. 52, No. 1, pp. 77–89, January–March, 2021.
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Baklushev, M.E., Ivanitsky, G.A. Discreteness and Continuity of Information in Consciousness. Neurosci Behav Physi 51, 1344–1353 (2021). https://doi.org/10.1007/s11055-021-01199-8
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DOI: https://doi.org/10.1007/s11055-021-01199-8