Nina Kazanina: Encoding and storing facts | ESI SyNC 23
Автор: ESI Frankfurt
Загружено: 2023-10-03
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Talks from the ESI Systems Neuroscience Conference (ESISyNC) 2023: Linking hypotheses: where neuroscience, computation, and cognition meet
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Talk by Nina Kazanina (University of Bristol, UK & Ernst Strüngmann Institute (ESI), Frankfurt, GER): How does the brain represent and store facts such as “Jenny painted her bedroom window yesterday” or “Children like sweets”? Across semantic theories, representation of the corresponding meanings is achieved by assuming a lexicon of predicates (like, paint) that take arguments (children, sweets, Jenny, etc.) as inputs to yield descriptions of events or states. Psychology and neuroscience provide a different type of answer, where the guiding principle is an association or its neural counterpart, a Hebbian synapse. While bolstered by much neuroscientific evidence, such an associative view lacks the means to encode different predicates and fails to provide a satisfactory answer as to how other relations between the same arguments can be maintained. In this talk, we resolve the tension by emphasizing another type of neural machinery, most prominently demonstrated in (but not restricted to) the literature on rodent spatial navigation. We argue that cell types such as object cells, boundary cells, head-direction cells, etc. are predicates that enable the expression of various abstract meanings, and that a (para-)hippocampal navigational system can be viewed as a model for a more complex system present in human cognition.
/ esi_frankfurt / esi_frankfurt / ernst-struengmann-institute https://www.esi-frankfurt.de/
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