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Human memory models and term association

Gerda Ruge
1995 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '95  
A small experiment shows that such a spreading activation network can find alternative terms -with a performance similar to the normally used similarity measures.  ...  A human memory model is modified in such a way that it produces additional search terms instead of human associations.  ...  Spreading Activation with Heads and Modifiers The relation between two words that refer to each other in a sentence or phrase is called headlmodifier relation or simply link.  ... 
doi:10.1145/215206.215363 dblp:conf/sigir/Ruge95 fatcat:g4epaxod7vaqffyvmidpfqnp4q

From Matrices to Knowledge: Using Semantic Networks to Annotate the Connectome

Sebastian J. Kopetzky, Markus Butz-Ostendorf
2018 Frontiers in Neuroanatomy  
We describe a novel approach to represent the knowledge of human brain connectivity by a semantic network - a formalism frequently used in knowledge management to describe the semantic relations between  ...  Structural and functional neuroimaging enables us to measure brain connectivity in the living human brain.  ...  connection as a semantic relation between two measured brain coordinates objects (Figures 4B,C) .  ... 
doi:10.3389/fnana.2018.00111 pmid:30581382 pmcid:PMC6292998 fatcat:dzoshuf2ibanjkc7gxeq56wtui

The functional role of motor activation in language processing: Motor cortical oscillations support lexical-semantic retrieval

M. van Elk, H.T. van Schie, R.A. Zwaan, H. Bekkering
2010 NeuroImage  
The onset of the motor effects preceded classical measures of semantic integration (i.e. the N400 component) and the strength of motor activation was found inversely related to the size of the N400 effect  ...  A stronger motor activation was observed for verbs presented in an animal context (e.g. "The deer jumped over the stream") compared to a human context (e.g.  ...  The present study provides new insight in the relation between classical measures of semantic processing, such as the N400 component, and the activation of modality-specific brain areas, as measured in  ... 
doi:10.1016/j.neuroimage.2009.12.123 pmid:20060478 fatcat:k6t46wwf6zf5hnif5wgdg2kn2i

Measuring Similarity in the Semantic Representation of Moving Objects in Video [chapter]

Miyoung Cho, Dan Song, Chang Choi, Pankoo Kim
2006 Lecture Notes in Computer Science  
This issue can be addressed through a hierarchical model that explains how the human language interacts with motions.  ...  And, in the experiment part, we evaluate our new approach using trajectory distance based on spatial relations to distinguish the conceptual similarity and get the satisfactory results.  ...  And based on the representations for moving objects' directions, they measure similarity using distance of directional relations between the trajectory of object A and that of object B.  ... 
doi:10.1007/11811220_8 fatcat:hyebdyimybawtf6w4c5k2gmedm

The Emergence of Semantic Meaning in the Ventral Temporal Pathway

Thomas A. Carlson, Ryan A. Simmons, Nikolaus Kriegeskorte, L. Robert Slevc
2014 Journal of Cognitive Neuroscience  
At what point does semantic knowledge, as instantiated in human language, emerge?  ...  We compared ITC's representation to semantic structure, evaluated by explicit ratings of semantic similarity and by five computational measures of semantic similarity.  ...  of semantic relatedness to brain activity in human primary visual cortex and human ITC (see Methods).  ... 
doi:10.1162/jocn_a_00458 pmid:23915056 fatcat:6hwp3f3iyraapgjbg55yislfyy

Chronometric Constructive Cognitive Learning Evaluation Model: Measuring the Consolidation of the Human Cognition Schema in Psychology Students' Memory

Guadalupe Elizabeth Morales-Martinez, Maria Isolde Hedlefs-Aguilar, Janneth Trejo-Quintana, Yanko Norberto Mezquita-Hoyos, Miriam Sanchez-Monroy
2021 International Journal of Learning, Teaching and Educational Research  
The computational simulation analysis and ANOVA indicated that the initial pattern for conceptual activation had changed at the end of the course.  ...  In addition, students participated in a semantic priming experiment. They participated in a lexical decision task.  ...  Table 4 : 4 ANOVA of repeated measures between the factors of temporal relation and state of knowledge Note: N= 48.  ... 
doi:10.26803/ijlter.20.5.4 fatcat:srkyqa2fubaw3ewjspd5ly3aaq

Information retrieval with semantic memory model

Julian Szymański, Włodzisław Duch
2012 Cognitive Systems Research  
Several similarity measures have been used to compare the completeness of knowledge retrieved automatically and corrected through active dialogs to a "golden standard".  ...  Comparison of semantic search with human performance has been made in a series of 20-question games.  ...  Empirical studies show that the time of concept activation is related to the semantic distance, measured by intermediate associations that the activation must pass through (Warren, 1977) .  ... 
doi:10.1016/j.cogsys.2011.02.002 fatcat:nr2vdic72rgi5fahfmrlf6qahe

Lateralized activation in the inferior frontal cortex during syntactic processing: Event-related optical topography study

Yasuki Noguchi, Tatsuya Takeuchi, Kuniyoshi L. Sakai
2002 Human Brain Mapping  
This task-selective activation was not observed in any other measured regions, including the right homologous region.  ...  An event-related paradigm has not been fully established for studying human cognitive functions with near-infrared optical imaging.  ...  We compared cortical activation mainly between two explicit linguistic tasks: syntactic decision (Syn) and semantic decision (Sem) tasks (Fig. 1) .  ... 
doi:10.1002/hbm.10050 pmid:12353243 fatcat:ijhmcueis5aqbgitci2ke3mxqe

Quantum semantics of text perception

Ilya A Surov, E Semenenko, A V Platonov, I A Bessmertny, F Galofaro, Z Toffano, A Yu Khrennikov, A P Alodjants
2021 Scientific Reports  
This two-distinction perception case is realized in the algorithm for detection and measurement of semantic connectivity between pairs of words.  ...  Complex-valued structure of the quantum state space extends the standard vector-based approach to semantics, allowing to account for subjective dimension of human perception in which the result is constrained  ...  Remaining panels of Fig. 3 show alternative measures of semantic relation.  ... 
doi:10.1038/s41598-021-83490-9 pmid:33603018 pmcid:PMC7893056 fatcat:gie4rxjddzaqxpzccekyhovlqa

Twitter as an indicator for whereabouts of people? Correlating Twitter with UK census data

Enrico Steiger, René Westerholt, Bernd Resch, Alexander Zipf
2015 Computers, Environment and Urban Systems  
We apply a semantic topic model classification and spatial autocorrelation analysis to detect tweets indicating specific human social activities.  ...  The objective of this paper is to explore the semantic association between georeferenced tweets and their respective spatiotemporal whereabouts.  ...  clusters indicating home-and work-related human social activities.  ... 
doi:10.1016/j.compenvurbsys.2015.09.007 fatcat:by53wwwhwzb2bouay6hafp5fdu

Neurocognitive Approach to Clustering of PubMed Query Results [chapter]

Paweł Matykiewicz, Włodzisław Duch, Paul M. Zender, Keith A. Crutcher, John P. Pestian
2009 Lecture Notes in Computer Science  
Query results may also be represented using Visual Language that takes as input a small set of semantically related concepts present in the citations.  ...  Here neurocognitive inspirations are used to create similar semantic graphs in an automated fashion.  ...  Visualization of clusters of documents that are semantically related should reflect relations between configurations of neural activations in the brain of an expert.  ... 
doi:10.1007/978-3-642-03040-6_9 fatcat:x5xyo7y7fbaj5foth4o7jjme7e

GABA concentrations in the anterior temporal lobe predict human semantic processing

JeYoung Jung, Stephen R. Williams, Faezeh Sanaei Nezhad, Matthew A. Lambon Ralph
2017 Scientific Reports  
Neural activity in the brain is constituted to a large degree by the excitation-inhibition balance, which is closely related to the activities of glutamate and GABA (γ-aminobutyric acid), as the brain's  ...  We combined functional magnetic resonance imaging (fMRI) with resting-state magnetic resonance spectroscopy (MRS) to measure task-related blood-oxygen level-dependent (BOLD) signal changes during sematic  ...  Taken together, these studies imply the potential role of regional GABA in modulating neural activity and cognitive functions in human brain.  ... 
doi:10.1038/s41598-017-15981-7 pmid:29146995 pmcid:PMC5691052 fatcat:eqcmnotirvefdkwgeaiu3qac4e

When "ultrarapid" word-related motor activity is not faster than "early"

Liuba Papeo, Alfonso Caramazza
2014 Frontiers in Human Neuroscience  
"When "ultrarapid" word-related motor activity is not faster than "early"." Frontiers in Human Neuroscience 8 (1): 842.  ...  When "ultrarapid" word-related motor activity is not faster than "early" The Harvard community has made this article openly available. Please share how this access benefits you.  ...  The latency of the word-related motor activation-85-125 ms-was measured from this point. But, is this information relevant to the theoretical issue under consideration here?  ... 
doi:10.3389/fnhum.2014.00842 pmid:25360104 pmcid:PMC4199260 fatcat:wevcmnvtmzafljwsrwanmmc3ra

Using context to build semantics

Peter J. Kwantes
2005 Psychonomic Bulletin & Review  
If we measure the similarity of the semantic vectors to each other, using the vector cosine, we find that cosine(human, user) ϭ.62 and cosine(human, minor) ϭ.04.  ...  In MINERVA 2, a trace's activation is measured as its similarity to the probe raised to an exponent.  ... 
doi:10.3758/bf03196761 pmid:16447385 fatcat:t4n3xsygozcxtnsjlv2q6iaw5i

A Human-Like Semantic Cognition Network for Aspect-Level Sentiment Classification

Zeyang Lei, Yujiu Yang, Min Yang, Wei Zhao, Jun Guo, Yi Liu
The measured semantic deviation is then used to fine-tune the above active reading process in a feedback regulation way.  ...  Third, we further devise a semantic deviation metric module to measure the semantic deviation between the targetspecific context representation and the given target, which evaluates the degree we understand  ...  The measured semantic deviation is then used to fine-tune the above active reading process in a feedback regulation way.  ... 
doi:10.1609/aaai.v33i01.33016650 fatcat:wmvnuarvfzb7rfffhjtyaqplca
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