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A theory of interactional systems: semantic connections and relational contextics
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In: ISSN: 1751-0589 ; International Journal of Applied Systemic Studies ; https://hal.univ-rennes2.fr/hal-02103100 ; International Journal of Applied Systemic Studies, 2018, 8 (1), pp.32. ⟨10.1504/IJASS.2018.091845⟩ ; https://www.inderscienceonline.com/doi/abs/10.1504/IJASS.2018.091845 (2018)
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Vanilla Sequence-to-Sequence Neural Nets cannot Model Reduplication
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In: OWP Linguistics (2017)
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Inteligencia conectiva para la educación matemática infantil
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In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 52, 2017, pags. 29-39 (2017)
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Content-Based Instruction Understood in Terms of Connectionism and Constructivism
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In: Lain, Stephanie. (2016). Content-Based Instruction Understood in Terms of Connectionism and Constructivism. L2 Journal, 8(1). doi:10.5070/L28128902. Retrieved from: http://www.escholarship.org/uc/item/2cg5m3vs (2016)
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Connectionism coming of age: legacy and future challenges
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In: ISSN: 1664-1078 ; Frontiers in Psychology, Vol. 5, No 187 (2014) (2014)
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Where do I know that? A distributed multimodal model of semantic knowledge
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In: Undergraduate Honors Theses (2014)
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Abstract:
As computers have grown more and more powerful, computational modeling has become an increasingly valuable tool for evaluating real world findings. Likewise, brain imaging has become increasingly powerful as is evidenced by recent fMRI findings which support the exciting possibility that semantic memory is segregated by modality in the brain (Goldberg et al., 2006b). The present study utilizes connectionist modeling to put the distributed multi-modal framework of semantic memory to the test, and represents the next step forward in the line of sensory-functional models. This model, based around the McRae et al. (2005) feature production norms, includes individual implementations of each modality: visual colour, visual motion, visual form and surface, olfactory-gustatory, encyclopedic, tactile, auditory, and functional. A cross-modal convergence zone (Hub), visual decoding region, and abstracted implementations of wordforms and images are also included to ultimately simulate picture naming. Focal lesions are simulated in each semantic modality, successfully recreating various category-specific deficits, many of which have been reported in patient case studies. Categories are expanded from a living-nonliving dichotomy to include animals, artifacts (tools, utensils, containers, and clothing), fruits and vegetables, and musical instruments. Hub damage recreates semantic dementia with an additional slight but significant impairment of animals over artifacts.
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Keyword:
Cognitive Neuroscience; Cognitive Psychology; computational modeling; Computational Neuroscience; connectionism; semantic knowledge
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URL: https://ir.lib.uwo.ca/psychd_uht/20
https://ir.lib.uwo.ca/cgi/viewcontent.cgi?article=1021&context=psychd_uht
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Simulating the N400 ERP Component as Semantic Network Error: Insights from a Feature-Based Connectionist Attractor Model of Word Meaning
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In: Psychology Publications (2014)
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