| Autor: |
Chernyshev, B. V., Ushakov, V. L., Poznyak, L. A. |
| Předmět: |
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| Zdroj: |
Neuroscience & Behavioral Physiology; Oct2024, Vol. 54 Issue 8, p1256-1267, 12p |
| Abstrakt: |
Configural learning is a form of associative learning in which the conditioned stimulus is an overall complex of stimulus elements rather than individual stimuli or their isolated properties. Overall analysis of the entire configuration as a whole is required for successful solution of the challenges of this type of associative learning. The ability to analyze not only the individual physical aspects of a stimulus or the individual objects of a visual scene, but also their overall combination, provides significant evolutionary advantages, as configurations often have significantly greater predictive power than the individual elements or features of a stimulus. Furthermore, the ability to analyze integrated combinations of elements or features of a stimulus field can be seen as an initial primitive manifestation of consciousness. This review considers the history of the development of the concept of configural learning, the main methodological research approaches, and currently available neurophysiological data on the putative neuronal basis of this phenomenon. The most interesting studies appear to be those addressing configural learning processes in humans using modern neuroimaging methods, as these provide an opportunity to gain insight into the operation of the whole brain. In conclusion, this review determines which problems in existing research need to be overcome in the future to provide a more complete understanding of the neurophysiology of the phenomenon of configural learning. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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