[
Amari, S.-I. (1977). “Neural theory of association and concept-formation”. Biological Cybernetics, 26(3), 175–185. https://doi.org/10.1007/BF00365229
]Search in Google Scholar
[
Ascoli, G.A. and Samsonovich, A. (2012). Semantic cognitive map. US Patent 8,190,422.
]Search in Google Scholar
[
Babichev, A. and Dabaghian, Y.A. (2018). “Topological schemas of memory spaces”. Frontiers in Computational Neuroscience, 12, 27.10.3389/fncom.2018.00027
]Search in Google Scholar
[
Binder, J. R., Conant, L. L., Humphries, C. J., Fernandino, L., Simons, S. B., Aguilar, M. and Desai, R. H. (2016). “Toward a brain-based componential semantic representation”. Cognitive Neuropsychology, 33(3–4), 130–174.10.1080/02643294.2016.1147426
]Search in Google Scholar
[
Brock, A. C. (2013). “The history of introspection revisited”. In: Clegg, J.W. (ed.), Self-Observation in the Social Sciences. London: Routledge, 25–43.
]Search in Google Scholar
[
Dabaghian, Y. (2019). “Through synapses to spatial memory maps via a topological model”. Scientific Reports, 9(1), 572.10.1038/s41598-018-36807-0
]Search in Google Scholar
[
Dale R. and Spivey M.J. (2005). “From apples and oranges to symbolic dynamics: a framework for conciliating notions of cognitive representation”. Journal of Experimental & Theoretical Artificial Intelligence, 17(4), 317–342.10.1080/09528130500283766
]Search in Google Scholar
[
Duch, W. (1989). “Schrödinger’s thoughts on perfect knowledge”. In: Bitsakis, E.I. and Nicolaides, C.A. (eds.), The Concept of Probability. Amsterdam: Kluwer Academic Publishers, 5–14.10.1007/978-94-009-1175-8_2
]Search in Google Scholar
[
Duch, W. (1996). “Categorization, prototype theory and neural dynamics”. In: Yamakawa, T.Y. and. Matsumoto, G. (eds), Methodologies for the Conception, Design, and Application of Intelligent Systems, Proceedings of the 4th International Conference on Soft Computing, Iizuka: Singapore/River Edge, N.J., 482–485.
]Search in Google Scholar
[
Duch, W. (1997). “Platonic model of mind as an approximation to neurodynamics”. In: Amari, S.I. and Kasabov, N. (eds), Brain-Like Computing and Intelligent Information Systems. Singapour: Springer, 491–512.
]Search in Google Scholar
[
Duch, W. (2005). “Brain-inspired conscious computing architecture”. Journal of Mind and Behavior, 26, 1–22.
]Search in Google Scholar
[
Duch, W. (2012). “Mind-brain relations. Geometric perspective and neurophenomenology”, American Philosophical Association Newsletter, 12(1), 1–7.
]Search in Google Scholar
[
Duch, W. (2018). “Kurt Lewin, psychological constructs and sources of brain cognitive activity”. Polish Psychological Forum, 23(1), 5–19.
]Search in Google Scholar
[
Duch, W. (2021). “Memetics and neural models of conspiracy theories”. Patterns, 2(11), 100353.10.1016/j.patter.2021.100353
]Search in Google Scholar
[
Duch, W., Matykiewicz, P. and Pestian, J. (2008). “Neurolinguistic approach to natural language processing with applications to medical text analysis”. Neural Networks, 21(10), 1500–1510.10.1016/j.neunet.2008.05.008
]Search in Google Scholar
[
Fauconnier, G. (1994). Mental Spaces: Aspects of Meaning Construction in Natural Language. Cambridge: Cambridge University Press.10.1017/CBO9780511624582
]Search in Google Scholar
[
Fauconnier, G. and Turner, M. (2003). The Way We Think: Conceptual Blending and the Mind’s Hidden Complexities (Reprint edition). New York: Basic Books.
]Search in Google Scholar
[
Fernandino, L., Tong, J.-Q., Conant, L. L., Humphries, C. J. and Binder, J. R. (2022). “Decoding the information structure underlying the neural representation of concepts”. Proceedings of the National Academy of Sciences, 119(6). https://doi.org.10.1073/pnas.210809111910.1073/pnas.2108091119
]Search in Google Scholar
[
Gärdenfors, P. (2004). Conceptual Spaces: The Geometry of Thought. Cambridge Mass: The MIT Press.
]Search in Google Scholar
[
Gärdenfors, P. (2014). The Geometry of Meaning: Semantics Based on Conceptual Spaces. Cambridge Mass.: The MIT Press.10.7551/mitpress/9629.001.0001
]Search in Google Scholar
[
Goertzel. B. (2006). The Hidden Pattern. Boca Raton, Fl.: BrownWalker. Harnad, S. (1990). “The symbol grounding problem”. Physica D: Nonlinear Phenomena, 42(1), 335–346.
]Search in Google Scholar
[
Heusser, A. C., Fitzpatrick, P. C. and Manning, J. R. (2021). “Geometric models reveal behavioural and neural signatures of transforming experiences into memories”. Nature Human Behaviour, 5(7), 905–919.10.1038/s41562-021-01051-6
]Search in Google Scholar
[
Hoel, E. P. (2017). “When the map is better than the territory”. Entropy, 19(5), 188.10.3390/e19050188
]Search in Google Scholar
[
Hurlburt, R.T. and Schwitzgebel, E (2007). Describing Inner Experience? Proponent Meets Skeptic. Cambridge Mass.: The MIT Press.10.7551/mitpress/7517.001.0001
]Search in Google Scholar
[
Hutchins, E. (2012). “Concepts in practice as sources of order”. Mind, Culture, and Activity, 19(3), 314–323. https://doi.org/10.1080/10749039.2012.694006
]Search in Google Scholar
[
Huth, A. G., de Heer, W. A., Griffiths, T. L., Theunissen, F. E. and Gallant, J. L. (2016). “Natural speech reveals the semantic maps that tile human cerebral cortex”. Nature, 532(7600), 453–458.
]Search in Google Scholar
[
Hyungsuk, J., Ploux, S. and Wehrli, E. (2003). Lexical Knowledge Representation with Contexonyms. 9th MT Summit Machine Translation, New Orleans, September 2003, 194–201. https://hal.archives-ouvertes.fr/hal-00933207
]Search in Google Scholar
[
Johnson-Laird, P.N. (1983). Mental models: Towards a Cognitive Science of Language, Inference and Consciousness. Harvard: Harvard University Press.
]Search in Google Scholar
[
Johnson-Laird, P.N. (1995). Mental Models, Deductive Reasoning, and the Brain. Cambridge Mass: The MIT Press: 999–1008.
]Search in Google Scholar
[
Kelly, G. (1955). The Psychology of Personal Constructs. New York: Norton.
]Search in Google Scholar
[
Komorowski, M. K., Rykaczewski, K., Piotrowski, T., Jurewicz, K., Wojciechowski, J., Keitel, A., Dreszer, J. and Duch, W. (2021). “ToFFi-Toolbox for frequency-based fingerprinting of brain signals”. Neurocomputing (in revision), and ArXiv:2110.09919
]Search in Google Scholar
[
Landauer, T. and Dumais, S. A. (1997). “Solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction and representation of knowledge”. Psychological Review, 104(2), 211–240.10.1037/0033-295X.104.2.211
]Search in Google Scholar
[
Laird, J. E., Lebiere, C. and Rosenbloom, P. S. (2017). “A standard model of the mind: Toward a common computational framework across artificial intelligence. Cognitive science, neuroscience, and robotics”. AI Magazine, 38(4), 13–26.
]Search in Google Scholar
[
Lewin, K. (1936). Principles of Topological Psychology. New York: McGraw-Hill. https://pl.scribd.com/book/262688082/Principles-of-Topological-Psychology10.1037/10019-000
]Search in Google Scholar
[
Lewin, K. (1938). The conceptual representation and the measurement of psychological forces. Durham N.C.: Duke University Press.10.1037/13613-000
]Search in Google Scholar
[
Neimeyer, R.A. and Neimeyer, G.J. (eds.), (2002). Advances in Personal Construct Psychology. New York: Praeger.
]Search in Google Scholar
[
Newell, A. and Simon, H.A. (1976). “Computer science as empirical inquiry: symbols and search”. Communications of the ACM, 19(6), 113–126.10.1145/360018.360022
]Search in Google Scholar
[
O’Regan, J. K. (2011). Why Red Doesn’t Sound Like a Bell: Understanding the Feel of Consciousness. Oxford: Oxford University Press.
]Search in Google Scholar
[
O’Reilly, R. C., Munakata, Y., Frank, M. J., Hazy, T. E., and Contributors (2020). Computational Cognitive Neuroscience. Wiki Book, 4th edition. https://CompCogNeuro.org
]Search in Google Scholar
[
Ploux, S. and Ji, H. (2003). “A model for matching semantic maps between languages (French/English, English/French)”. Computational Linguistics, 29(2), 155–178.10.1162/089120103322145298
]Search in Google Scholar
[
Ploux, S., Boussidan, A. and Ji, H. (2010). The Semantic Atlas: An Interactive Model of Lexical Representation. Proceedings of the Seventh Conference of International Language Resources Ans Evaluation: 1–5. https://hal.archives-ouvertes.fr/hal-00933294
]Search in Google Scholar
[
Rykaczewski, K., Nikadon, J., Duch, W. and Piotrowski, T. (2021). “supFunSim: Spatial filtering toolbox for EEG”. Neuroinformatics, 19(1), 107–125.10.1007/s12021-020-09464-w
]Search in Google Scholar
[
Speer, N. K., Reynolds, J. R., Swallow, K. M. and Zacks, J. M. (2009). “Reading stories activates neural representations of visual and motor experiences”. Psychological Science, 20(8), 989–999. https://doi.org/10.1111/j.1467-9280.2009.02397.x
]Search in Google Scholar
[
Spivey, M.J. (2007). The Continuity of Mind. New York: Oxford University Press.
]Search in Google Scholar
[
Tian, F., Wang, H., Cheng, W., Zhang, W. and Li, Y. (2021). “A high-density EEG study investigating VR Film editing and cognitive event segmentation theory”. Sensors, 21(21), 7176. https://doi.org/10.3390/s21217176
]Search in Google Scholar
[
Varley, T., and Hoel, E. (2021). “Emergence as the conversion of information: A unifying theory”. ArXiv:2104.13368 [Cs, Math]. http://arxiv.org/abs/2104.13368
]Search in Google Scholar
[
Varley, T. F., and Sporns, O. (2022). “Network nalysis of time series: novel approaches to network neuroscience”. Frontiers in Neuroscience, 15. https://www.frontiersin.org/article/10.3389/fnins.2021.78706810.3389/fnins.2021.787068
]Search in Google Scholar
[
Wierzbicka, A. (1996). Semantics: Primes and Universals. Oxford: Oxford University Press.
]Search in Google Scholar
[
Zacks, J. M., Speer, N., Swallow, K. and Maley, C. (2010). “The brain’s cutting-room floor: segmentation of narrative cinema”. Frontiers in Human Neuro-science, 4. https://www.frontiersin.org/article/10.3389/fnhum.2010.0016810.3389/fnhum.2010.00168
]Search in Google Scholar
[
Zhang, Y., Han, K., Worth, R. and Liu, Z. (2020). “Connecting concepts in the brain by mapping cortical representations of semantic relations”. Nature Communications, 11(1), 1877.10.1038/s41467-020-15804-w
]Search in Google Scholar