References
- Adrian H. 2016. Human-like knowledge engineering, generalization and creativity in artificial neural associative systems. Switzerland: Springer Verlag, Springer; p. 39–51.
- Aur D, Jog MS. 2006 October 30. Building spike representation in tetrodes. J Neurosci Methods. 157(2):364–373. doihttps://doi.org/10.1016/j.jneumeth.2006.05.003.
- Aur D, Jog MS. 2007. Neuronal spatial learning. Neural Processing Letters. 25(1):31–47. doi:https://doi.org/10.1007/s11063-006-9029-2.
- Aur D, Jog MS. 2010. Neuroelectrodynamics - Understanding the brain language. IOS Press; Amsterdam, Berlin, Tokyo, Washington DC, p. 1–235.
- Badcock P. 2012. Evolutionary systems theory: a unifying meta–theory of psychological science. Review of General Psychology. 16(1):10–23. doi:https://doi.org/10.1037/a0026381.
- Badcock PB, Friston KJ, Ramstead MJD, Ploeger A, Hohwy J. 2019. The hierarchically mechanistic mind: an evolutionary systems theory of the human brain, cognition, and behavior. Cogn Affect Behav Neurosci. 19(6):1319–1351. doi:https://doi.org/10.3758/s13415-019-00721-3.
- Caramazza A. 2000. The organization of conceptual knowledge in the brain. In: Gazzaniga MS, editor. The new cognitive neurosciences. Cambridge (MA): MIT Press; p. 1037–1046.
- De’waal F. 2014. Bonobo i ateista. W poszukiwaniu humanizmu wśród naczelnych. Poland, Kraków: Copernicus Center Press.
- Ercsey–Ravasz, M., Markov, N.T., Lamy, C., Van Essen, D.C., Knoblauch, K.…Kennedy, H. (2013). A predictive network model of cerebral cortical connectivity based on a distance rule. Neuron, 80, 184–197. https://doi.org/https://doi.org/10.1016/j.neuron.2013.07.036
- Feldman J, Narayanan S. 2004. Embodied meaning in a neural theory of language. Brain Lang. 89(2):385–392. doi:https://doi.org/10.1016/S0093-934X(03)00355-9.
- Friston K, Buzsaki G. 2016. The functional anatomy of time: what and when in the brain. Trends Cogn Sci. 20(7):500–511. doi:https://doi.org/10.1016/j.tics.2016.05.001.
- Gallese V, Goldman A. 1998. Mirror neurons and the simulation theory of mind-reading. Trends Cogn Sci. 2(12):12. doi:https://doi.org/10.1016/S1364-6613(98)01262-5.
- Galus WL. 2015a. Architektura Świadomości. Część I: logika i morfologia sieci neuronowej. Roczniki Filozoficzne 63(1):139–171. doi:https://doi.org/10.18290/rf.2015.63.1-9.
- Galus WL. 2015b. Architektura Świadomości. Część II: struktura molekularna i biofizyka pamięci. Roczniki Filozoficzne. 63(2):237–261. doi:https://doi.org/10.18290/rf.2015.63.2-14.
- Galus WL. 2015c. Architektura Świadomości. Część III: wola i sens istnienia. Roczniki Filozoficzne T. 63(4):129–168. doi:https://doi.org/10.18290/rf.2015.63.4-5.
- Galus WL. 2018. Impresjony słów. Język naturalnych i sztucznych sieci neuronowych. Rocznik Kognitywistyczny. 11:55–75. doi:https://doi.org/10.4467/20843895RK.18.005.9759
- Galus WL, Starzyk JA. 2020. Reductive model of the conscious mind. IGI Global:2020.
- Gregory H. 2016. Mit Neuronów Lustrzanych. Polish ed. Poland, Kraków: Copernicus Center Press; p. 2016.
- Gross GC. 2002. Genealogy of the grandmother cell. The Neuroscientist. 8(5):2002. doi:https://doi.org/10.1177/107385802237175.
- Hickok G. 2009. Eight problems for the mirror neuron theory of action understanding in monkeys and humans. J Cogn Neurosci. 21(7):1229–1243. doi:https://doi.org/10.1162/jocn.2009.21189.
- Horzyk A. 2013. Sztuczne systemy skojarzeniowe i asocjacyjna sztuczna inteligencja. Warszawa, Poland: Akademicka Oficyna Wydawnicza EXIT.
- Jog MS, Aur D, Connolly CI. 2007 January 22. Is there a tipping point in neuronal ensembles during learning? Neurosci Lett. 412(1):39–44. doihttps://doi.org/10.1016/j.neulet.2006.09.091.
- Johnson M. 2015. Znaczenie ciała. Estetyka rozumienia ludzkiego. Wydawnictwo Uniwersytetu Lódzkiego, Poland. 2015. 43.
- Jordan HO, Navarro DM, Stringer SM. 2020. Theformation and use of hierarchical cognitive maps in the brain: a neural network model. Network: Computation in Neural Systems. doi:https://doi.org/10.1080/0954898X.2020.1798531
- Kiebel SJ, Daunizeau J, Friston KJ. 2008. A hierarchy of time–scales and the brain. PLoS Comput Biol. 4(11):e1000209. doi:https://doi.org/10.1371/journal.pcbi.1000209.
- Konorski J. 1967. Integrative activity of the brain; an interdisciplinary approach. Chicago: University of Chicago Press.
- Lakoff G, Johnson M. 1999. Philosophy in the flesh. The embodied mind and it’s challenge to western thought. New York, US: Basic Book.
- Lakoff G, Johnson M. 2010. Metafory w naszym życiu. Warszawa, Poland: Altheia.
- Lettvin JY, Maturana HR, McCulloch WS, Pitts WH. 1959. What the frog’s eye tells the frog’s brain. Proc Inst Radio Engin. 47:1940–1951.
- Markov NT, Vezoli J, Chameau P, Falchier A, Quilodran R, Huissoud C, Kennedy H. 2014. Anatomy of hierarchy: feedforward and feedback pathways in macaque visual cortex. Journal of Comparative Neurology. 522(1):225–259. doi:https://doi.org/10.1002/cne.23458.
- Martin A, Underleider LG, Haxby JV. 2000. Category specificity and the brain: the sensory/motor model of semantic representations of objects. In: Gazzaniga MS, editor. The new cognitive neurosciences pp. 1023–1036. Cambridge (MA): MIT Press. P 102336.102336.
- Marvin M. 1980. K-Lines: a theory of memory. Cogn Sci. 4(2):117–l33. doi:https://doi.org/10.1207/s15516709cog0402_1.
- Marvin M. 1993. Unified theories of cognition. artificial intelligence in perspective. In: Book review. Allen Newell (Cambridge, MA): MIT Press; p. 59, 343–354.
- Norman KA, O’Reilly RC. 2003. Modeling hippocampal and neocortical contributions to recognition memory: a complementary-learning-systems approach. Psychological Rev. 110(4):611–646. doi:https://doi.org/10.1037/0033-295X.110.4.611.
- Perlovsky Leonid I. 1998. Conundrum of combinatorial complexity”, IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(6). Jun 1998.
- Perlovsky Leonid I. 2006. “The Knowledge Instinct”. New York, US: Basic Books.
- Perlovsky Leonid I. 2008. Sapience, consciousness, and the knowledge instinct (prolegomena to a physical theory). In: Mayorga RV, and Perlovsky LI, editors. 2008 Toward artificial sapience. Principles and methods for wise systems. London, England: Springer Verlag; p. 33–60.
- Perlovsky Leonid I, Ilin R. 2010. Neurally and mathematically motivated architecture for language and thought. Open Neuroimag J. 4:70–80. doi:https://doi.org/10.2174/1874440001004020070.
- PerlovskyY Leonid I. 2007. Cognitive high level information fusion. Information Sciences. 177(10):2099–2118. doi:https://doi.org/10.1016/j.ins.2006.12.026.
- Quiroga RQ, Fried I, Koch C, (2013) “Brain cells for grandmother”, Scientific American.com 2013 Feb 31.
- Quiroga RQ, Reddy L, Kreiman G, Koch C, Fried I. 2005. Invariant visual representation by single neurons in the human brain. Nature. 435(7045):1102–1107. doi:https://doi.org/10.1038/nature03687.
- Ramachandran VS. 2012. Neuronauka o podstawach człowieczeństwa. O czym mówi mózg? Warszawa, Poland: Wydawnictwo Uniwersytetu Warszawskiego.
- Rizzolatti G, Camarda R, Fogassi L, Gentilucci M, Luppino G, Matelli M. 1988. Functional organization of inferior area 6 in the macaque monkey. II. Area F5 and the control of distal movements. Exp Brain Res. 71(3):491–507. doi:https://doi.org/10.1007/BF00248742.
- Rizzolatti G, Fadiga L, Gallese V, Fogassi L. 1996. Premotor cortex and the recognition of motor actions. Cognitive Brain Research. 3(2):131–141. doi:https://doi.org/10.1016/0926-6410(95)00038-0.
- Rolls ET, Treves A. 1990. The relative advantages of sparse versus distributed encoding for associative neuronal networks in the brain. Network: Computation in Neural Systems. 1(4):407–421. doi:https://doi.org/10.1088/0954-898X_1_4_002.
- Rolls ET, Treves A. 2011. The neuronal encoding of information in the brain. Prog Neurobiol. 95(3):448–490. doi:https://doi.org/10.1016/j.pneurobio.2011.08.002.
- Sheets-Johnstone, M., and Ercsey–Ravasz, M., Markov, N.T., Lamy, C., Van Essen, D.C., Knoblauch, K.…Kennedy, H (1999) “The Primacy of Movement.” Amsterdam/Philadelphia: John Benjamins University Press. /exp. 2nd ed. 1999.
- Vadakkan Kunjumon I. 2010. Framework of consciousness from semblance of activity at functionally LINKed postsynaptic membranes. Frontiers in Psychology (Consciousness Research). 1(1)2010:1–12. https://doi.org/10.3389/fpsyg.2010.00168.
- Vadakkan Kunjumon I. 2011. Processing semblances induced through inter-postsynaptic functional LINKs, presumed biological parallels of K-lines proposed for building artificial intelligence. Frontiers in Neuroengineering. 4:8. 2011. doi:https://doi.org/10.3389/fneng.2011.00008.
- Vadakkan Kunjumon I. 2012. The nature of internal sensations of higher brain functions may be derived from the design rules for artificial machines that can produce them. J Biol Eng. 6(1)2012:21. https://doi.org/10.1186/1754-1611-6-21.
- Young MP. 2002. Connectional organization and function in the macaque cerebral cortex. Schuz A, Miller R, Taylor, and Francis, editors.Cortical areas: unity and diversity, New York, NY 10001; 351–375.