Displaying 1 - 9 of 9
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Doumas, L. A. A., Martin, A. E., & Hummel, J. E. (2020). Relation learning in a neurocomputational architecture supports cross-domain transfer. Talk presented at the 42nd Annual Virtual Meeting of the Cognitive Science Society (CogSci 2020). Toronto, Canada. 2020-07-29 - 2020-08-01.
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Martin, A. E. (2020). Towards a model of language processing in a neurophysiological system [keynote]. Talk presented at the 26th Architectures and Mechanisms for Language Processing Conference (AMLap 2020). Potsdam, Germany. 2020-09-03 - 2020-09-05.
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Corley, M., Pickering, M., Martin, A. E., & Nieuwland, M. S. (2015). Predicting form and meaning: Evidence from ERPs. Poster presented at the 28th Annual CUNY Conference on Human Sentence Processing, Los Angeles, CA, USA.
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Ito, A., Corley, M., Pickering, M. J., Martin, A. E., & Nieuwland, M. S. (2015). Prediction of form and meaning? Evidence from brain potentials. Talk presented at the 28th Annual CUNY Conference on Human Sentence Processing. Los Angeles, CA. 2015-03-19 - 2015-03-21.
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Martin, A. E., & Doumas, L. (2015). A mechanism for the cortical computation of syntax. Poster presented at Architectures and Mechanisms for Language Processing (AMLaP 2015), Malta.
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Martin, A. E., & Doumas, L. (2016). A neurocomputational mechanism for parsing: Finding hierarchical linguistic structure in a model of relational processing. Poster presented at the 8th Annual Meeting of the Society for the Neurobiology of Language (SNL 2016), London, UK.
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Martin, A. E. (2015). Cue-based interference from illicit attractor: ERP Evidence from VP Ellipsis. Poster presented at Architectures and Mechanisms for Language Processing (AMLaP 2015), Malta.
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Martin, A. E. (2015). Retrieval cues in language comprehension: Interference effects in monologue but not dialogue. Poster presented at Architectures and Mechanisms for Language Processing (AMLaP 2015), Malta.
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Schoknecht, P., Lüll, S., Schiffer, L., Schmuck, N., Alday, P. M., Schlesewsky, M., Bornkessel-Schlesewsky, I., & Martin, A. E. (2015). P3 amplitude indexes the degree of similarity-based interference in memory retrieval during sentence comprehension. Poster presented at the 28th Annual CUNY Conference on Human Sentence Processing, Los Angeles, CA, USA.
Abstract
Unitary memory models postulate a direct content-addressable (cuebased) retrieval in working and longterm memory Cue-based retrieval suffers from similarity-based interference. It increases with increasing cue overlap. The P300 effect correlates with memory retrieval in non-linguistic tasks. Amplitude is modulated by the number of involved features. The present study: is the P300 amplitude sensitive to the degree of similarity-based interference in memory retrieval during language comprehension? 2 ERP experiments investigated interference in memory retrieval in sluicing constructions
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