Displaying 1 - 17 of 17
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Cutter, M. G., Martin, A. E., & Sturt, P. (2018). Readers utilise proper noun capitalisation to determine syntactic class prior to direct fixation. Poster presented at the 31st Annual CUNY Conference on Human Sentence Processing, Davis, CA, USA.
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Cutter, M. G., Martin, A. E., & Sturt, P. (2018). Readers utilise proper noun capitalisation to determine syntactic class prior to direct fixation: Evidence for syntactic parafoveal-on-foveal effects. Talk presented at a meeting of the Experimental Psychology Society (EPS). Leicester, UK. 2018-04-20.
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Kaufeld, G., Naumann, W., Ravenschlag, A., Martin, A. E., & Bosker, H. R. (2018). Contextual speech rate influences morphosyntactic prediction and integration. Talk presented at Architectures and Mechanisms for Language Processing (AMLaP 2018). Berlin, Germany. 2018-09-06 - 2018-09-08.
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Kaufeld, G., Naumann, W., Martin, A. E., & Bosker, H. R. (2018). Contextual speech rate influences morphosyntactic prediction and integration. Poster presented at LabPhon16 - Variation, development and impairment: Between phonetics and phonology, Lisbon, Portugal.
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Martin, A. E. (2018). Computing structure in brains and machines. Talk presented at a ERC-Advanced grant funded workshop organized by Professor Jeffrey Bowers, University of Bristol. Bristol, UK. 2018-05-21 - 2018-05-25.
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Martin, A. E. (2018). Linking language and oscillations through rhythmic computation. Talk presented at the 25th Annual Meeting of the Cognitive Neuroscience Society (CNS 2018). Boston, MA, USA. 2018-03-24 - 2018-03-27.
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Martin, A. E. (2018). On the sufficiency of operators for compositionality: Where tensors fail [keynote]. Talk presented at the International Symposium Towards Mechanistic Models of Meaning Composition. Trondheim, Norway. 2018-10-11 - 2018-10-12.
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Martin, A. E. (2018). Rhythmic computation of linguistic structure [keynote]. Talk presented at the 31st Annual CUNY Conference on Human Sentence Processing. Davis, CA, USA. 2018-03-16.
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Martin, A. E. (2018). The rhythms of computation. Talk presented at the Insitute of Musicology, University of Cologne. Cologne, Germany. 2018-11-22.
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Martin, A. E. (2018). The rhythms of computation: A combinatorial mechanism for language production and comprehension. Talk presented at the Department of Linguistics, Leiden University. Leiden, The Netherlands. 2018-09-03.
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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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