Displaying 1 - 18 of 18
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Alday, P. M., & Martin, A. E. (2017). Decoding linguistic structure building in the time-frequency domain. Poster presented at the 24th Annual Meeting of the Cognitive Neuroscience Society (CNS 2017), San Francisco, CA, USA.
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Alday, P. M., & Martin, A. E. (2017). Decoding linguistic structure building in the time-frequency domain. Poster presented at the 30th Annual CUNY Conference on Human Sentence Processing, Cambridge, MA, USA.
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Alday, P. M., & Martin, A. E. (2017). Stress-timing via oscillatory phase-locking in naturalistic language. Poster presented at the Ninth Annual Meeting of the Society for the Neurobiology of Language (SNL 2017), Baltimore, MD, USA.
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Martin, A. E. (2017). Brain Rhythms and Cortical Computation (BryCoCo) [Keynote lecture]. Talk presented at the University Geneva. Geneva, Switzerland. 2017-10.
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Martin, A. E., & Doumas, L. A. A. (2017). A mechanism for the cortical computation of hierarchical linguistic structure. Poster presented at the 30th Annual CUNY Conference on Human Sentence Processing, Cambridge, MA, USA.
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Martin, A. E., & Doumas, L. A. A. (2017). A mechanism for the cortical computation of hierarchical linguistic structure. Poster presented at the 24th Annual Meeting of the Cognitive Neuroscience Society (CNS 2017), San Francisco, CA, USA.
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Martin, A. E., & Doumas, L. A. A. (2017). A mechanism for the cortical computation of hierarchical linguistic structure. Talk presented at the 24th Annual Meeting of the Cognitive Neuroscience Society (CNS 2017) Data Blitz Session. San Francisco, CA, USA. 2017-03-25 - 2017-03-28.
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Martin, A. E. (2017). Learning, representing, and inferring a symbolic system from neural representations distributed across time and frequency. Talk presented at the Workshop Key Questions and New Methods in the Language Sciences. Berg en Dal, The Netherlands. 2017-06-14 - 2017-06-17.
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Martin, A. E. (2017). Linking linguistic and cortical computation via hierarchy and time. Talk presented at the Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences. Leipzig, Germany. 2017-11-15.
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Martin, A. E. (2017). Linking linguistic and cortical computation via hierarchy and time. Talk presented at the Psychology Department, University of Amsterdam. Amsterdam, The Netherlands. 2017-10-26.
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Martin, A. E. (2017). Linking linguistic and cortical computation via hierarchy and time [Keynote lecture]. Talk presented at the Workshop "The Neural Oscillations of Speech and Language Processing". Berlin, Germany. 2017-05-29.
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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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