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SUMMARY:Exploration mechanisms intrinsic to semantic networks and the nuan
 ced appraisal of lexical repetition occurrences
DTSTART;VALUE=DATE-TIME:20260413T220000Z
DTEND;VALUE=DATE-TIME:20260413T222000Z
DTSTAMP;VALUE=DATE-TIME:20260415T054126Z
UID:indico-contribution-338@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Gustavo Espinosa Otalora ()\nSemantic memory is resp
 onsible for storing knowledge of concepts or meanings in the long term. Ba
 sed on the semantic network from the study by Goñi et al. (2011)\, we stu
 dy the efficiency and performance of the network using the switching rando
 m walker model for different transition biases between nodes. Diffusion in
  the network is described by Markov chains\, a process that allows the cal
 culation of descriptive random variables such as average first-pass time a
 nd entropy rate. The MFPT and the entropy rate are very useful measures be
 cause they provide information about how reachable a node is on average fr
 om any other node\, and the rate at which information can spread through t
 he network. In addition\, we designed a fluency test simulation model base
 d on the changing random walker (SRW) where the relationship between short
 -term memory (STM)\, the number of repetitions and the flexibility of chan
 ge is analyzed. STM was found to play an important role in verbal fluency 
 performance\, at least as it relates to verbal fluency tests.\n\nhttps://f
 isindico.uniandes.edu.co/event/23/contributions/338/
LOCATION:Universidad Nacional Ed. 564
URL:https://fisindico.uniandes.edu.co/event/23/contributions/338/
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