allpubs.bib

@unpublished{vasishth2021sample,
  title={Sample size determination for {Bayesian} hierarchical models commonly used in psycholinguistics},
  author={Vasishth, Shravan and Yadav, Himanshu and Schad, Daniel and Nicenboim, Bruno},
    DOI={10.31234/osf.io/u8yvc},
  year={2021},
  eprint = {https://psyarxiv.com/u8yvc/},
  publisher={PsyArXiv}
}

@unpublished{schad2021workflow,
      title={Workflow Techniques for the Robust Use of Bayes Factors}, 
      author={Daniel J. Schad and Bruno Nicenboim and Paul-Christian Bürkner and Michael Betancourt and Shravan Vasishth},
      year={2021},
      eprint={https://arxiv.org/abs/2103.08744},
      archivePrefix={arXiv},
      primaryClass={stat.ME},
     notes={unpublished}
}


@article{Brochhagen2021,
	doi = {10.1007/s42113-021-00099-x},
	year = 2021,
	publisher = {Springer Science and Business Media {LLC}},
	author = {Thomas Brochhagen},
	title = {Brief at the Risk of Being Misunderstood: Consolidating Population- and Individual-Level Tendencies},
	journal = {Computational Brain {\&} Behavior},
	customb = {https://osf.io/7m9np/}
}

@article{Spektor2018,
author = {Spektor, Mikhail Sergeevic and Kellen, David},
doi = {10.3758/s13423-018-1446-5},
journal = {Psychonomic Bulletin {\&} Review},
number = {6},
pages = {2047--2068},
title = {{The relative merit of empirical priors in non-identifiable and sloppy models: Applications to models of learning and decision-making}},
volume = {25},
year = {2018},
customb = {https://osf.io/2ws78/}
}

@article{Spektor2019,
author = {Spektor, Mikhail Sergeevic and Gluth, Sebastian and Fontanesi, Laura and Rieskamp, J{\"{o}}rg},
doi = {10.1037/rev0000122},
journal = {Psychological Review},
number = {1},
pages = {52--88},
title = {{How similarity between choice options affects decisions from experience: The accentuation-of-differences model}},
volume = {126},
year = {2019},
customb = {https://osf.io/w376r/}
}

@article{Fontanesi2019,
author = {Fontanesi, Laura and Gluth, Sebastian and Spektor, Mikhail Sergeevic and Rieskamp, J{\"{o}}rg},
doi = {10.3758/s13423-018-1554-2},
journal = {Psychonomic Bulletin {\&} Review},
number = {4},
pages = {1099--1121},
title = {{A reinforcement learning diffusion decision model for value-based decisions}},
volume = {26},
year = {2019},
customb = {https://osf.io/95d4p/}
}

@article{Kraemer2020,
author = {Kraemer, Peter Maximilian and Fontanesi, Laura and Spektor, Mikhail Sergeevic and Gluth, Sebastian},
doi = {https://doi.org/10.3758/s13423-020-01794-9},
journal = {Psychonomic Bulletin {\&} Review},
keywords = {Bayesian modeling,DDM,cognitive bias,decision making,diffusion model,dual-process,episodic memory,preferential choice},
title = {{Response time models separate single- and dual-process accounts of memory-based decisions}},
year = {2020},
eprint = {https://link.springer.com/article/10.3758%2Fs13423-020-01794-9},
customb = {https://osf.io/kbyas/}
}

@article{PaapeEtAl2017,
  journal = {Glossa: {A} journal of general linguistics. },
  title = {Does antecedent complexity affect ellipsis processing? An empirical investigation},
  year ={2017},
  Volume=2,
  number=1,
  pages={71},
  doi = {10.5334/gjgl.290},
  eprint ={https://www.glossa-journal.org/articles/abstract/10.5334/gjgl.290/},
  author = {Dario Paape and Bruno Nicenboim  and Shravan Vasishth}
}

@article{NicenboimEtAl2016When,
  issn = {1664-1078},
  doi = {10.3389/fpsyg.2016.00280 },
  eprint = {http://www.frontiersin.org/language_sciences/10.3389/fpsyg.2016.00280/abstract},
  number = {280},
  year = {2016},
  volume = {7},
  journal = {Frontiers in Psychology },
  title = {When high-capacity readers slow down and low-capacity readers speed up: {Working} memory and locality effects},
  customb = {https://github.com/bnicenboim/papers/tree/master/NicenboimEtAl2016.%20When%20High-Capacity%20Readers%20Slow%20Down%20and%20Low-Capacity%20Readers%20Speed%20Up:%20Working%20Memory%20and%20Locality%20Effects},
  author = {Bruno Nicenboim and Pavel Logačev and Carolina Gattei and Shravan Vasishth}
}




@ARTICLE{NicenboimVasishth2016llcII,
  author = {Bruno Nicenboim and Shravan Vasishth},
  title = "Statistical methods for linguistic research: {Foundational} Ideas - {Part} {II}",
  journal = {Language and Linguistics Compass},
  eprint = {https://arxiv.org/abs/1602.00245},
  pages = {591--613},
  doi = {10.1111/lnc3.12207},
  url = {http://dx.doi.org/10.1111/lnc3.12207},
  issn = {1749-818X},
  number = {11},
  volume = {10},
  keywords = "rstanarm; tutorial",
  year = "2016"
}



@article{NicenboimEtAl2018Number,
  Title                    = {Exploratory and confirmatory analyses in sentence processing: {A} case study of number interference in {German}},
  Author                   = { Bruno Nicenboim and Shravan Vasishth and Felix Engelmann and Katja Suckow},
  journal ={Cognitive Science},
  doi={10.1111/cogs.12589},
  volume = {42},
  number = {S4},
  pages = {1075--1100} ,
  year = {2018},
  eprint ={https://osf.io/preprints/psyarxiv/u2kqg/},
  customb = {https://osf.io/4dg9b/}
}


@article{NicenboimEtAl2017EDAPS,
  Title                    = {Using meta-analysis for evidence synthesis: {The} case of
    incomplete neutralization in {German}},
  Author                   = { Bruno Nicenboim and  Timo B. Roettger and Shravan Vasishth },
  Url                      = { },
  doi = {10.1016/j.wocn.2018.06.001},
  year = 2018,
  eprint = {https://psyarxiv.com/p5a4z/},
  customb = {https://osf.io/g5ndw/},
  volume="70",
  pages= "39--55",
  journal= {Journal of Phonetics}
}

@article{VasishthEtAl2017EDAPS,
  Title                    = {Bayesian data analysis in the phonetic sciences: {A} tutorial introduction},
  Author                   = {Shravan Vasishth and Bruno Nicenboim and Mary E. Beckman and Fangfang Li and Eunjong Kong},
  doi = {10.1016/j.wocn.2018.07.008},
  eprint = {https://osf.io/5pj49/},
  customb = {https://osf.io/g4zpv/},
  volume="71",
  pages= "147--161",
  year = {2018},
  journal= {Journal of Phonetics}
}

@unpublished{Vasishth_Nicenboim_Chopin_Ryder_2017,
  title={Bayesian hierarchical finite mixture models of reading times: {A} case study},
  year = {2017},
  url={osf.io/fwx3s},
  DOI={10.17605/OSF.IO/FWX3S},
  notes={unpublished},
  author={Vasishth, Shravan and Nicenboim, Bruno and Chopin, Nicolas and Ryder, Robin},
  eprint = {https://osf.io/v5nps/}
}


@article{nicenboim_vasishth_rosler_2019,
  title={Are words pre-activated probabilistically during sentence comprehension? {Evidence} from new data and a {Bayesian} random-effects meta-analysis using publicly available data},
  eprint ={https://psyarxiv.com/2atrh/},
  DOI={10.1016/j.neuropsychologia.2020.107427},
  volume = {142},
  author={Nicenboim, Bruno and Vasishth, Shravan and Rösler, Frank},
  year={2020},
  journal = "Neuropsychologia"
}
@article{lisson_etal_2020,
 title={A computational evaluation of two models of retrieval processes in sentence processing in aphasia},
 eprint={https://psyarxiv.com/r7dn5},
 DOI={10.1111/cogs.12956},
 author={Lisson, Paula and Pregla, Dorothea and Nicenboim, Bruno and Paape, Dario and van het Nederend, Mick L and Burchert, Frank and Stadie, Nicole and Caplan, David and Vasishth, Shravan},
 journal = {Cognitive Science},
 month = {apr},	
 publisher = {Wiley},	
 volume = {45},	
 number = {4},	
 year={2021}
}


@article{NicenboimVasishth2017Models,
  Title                    = {Models of Retrieval in Sentence Comprehension: {A} computational evaluation using {Bayesian} hierarchical modeling},
  Author                   = { Bruno Nicenboim and Shravan Vasishth },
  volume = "99",
  pages = "1 --34",
  year = "2018",
  issn = "0749-596X",
  doi = "10.1016/j.jml.2017.08.004",
  eprint = {https://arxiv.org/abs/1612.04174},
  journal ={Journal of Memory and Language},
  url                      = {https://arxiv.org/abs/1612.04174},
  customb ={https://osf.io/a5ymk}
}

@article{vasishth_nicenboim_engelmann_burchert_2019,
  title={Computational models of retrieval processes in sentence processing},
  eprint ={https://psyarxiv.com/e4jds/},
  DOI={10.1016/j.tics.2019.09.003},
  volume = "23",
  number = "11",
  pages = "968 - 982",
  issn = "1364-6613",
  journal = {Trends in Cognitive Sciences},
  author={Vasishth, Shravan and Nicenboim, Bruno and Engelmann, Felix  and Burchert, Frank},
  year={2019}
}
@Inproceedings{Nicenboim2018StanCon,
  Title                    = {The implementation of a model of choice: {The} (truncated) linear ballistic accumulator},
  Author                   = {Nicenboim, Bruno},
  Booktitle                = {{StanCon}},
  Year                     = {2018},
  doi = {10.5281/zenodo.1465990},
  Location                 = {Aalto University, Helsinki, Finland},
  Month                    = {8},
  eprint = {https://htmlpreview.github.io/?https://github.com/stan-dev/stancon_talks/blob/master/2018-helsinki/Contributed-Talks/nicenboim/LBA_stancon2018.html}
}


@article{haines2018outcome,
  title={The outcome-representation learning model: A novel reinforcement learning model of the iowa gambling task},
  author={Haines, Nathaniel and Vassileva, Jasmin and Ahn, Woo-Young},
  journal={Cognitive science},
  volume={42},
  number={8},
  pages={2534--2561},
  year={2018},
  publisher={Wiley Online Library},
  customb ={https://github.com/CCS-Lab/IGT}
}

@article{hBayesDM,
  title = {Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the {hBayesDM} Package},
  author = {Ahn, Woo-Young and Haines, Nathaniel and Zhang, Lei},
  journal = {Computational Psychiatry},
  year = {2017},
  volume = {1},
  pages = {24--57},
  publisher = {MIT Press},
  url = {doi:10.1162/CPSY_a_00002},
    customb ={https://github.com/CCS-Lab/hBayesDM}
}

@article{hainesanxiety,
  title={Anxiety Modulates Preference for Immediate Rewards among Trait-Impulsive Individuals: A Hierarchical Bayesian Analysis},
  author={Haines, Nathaniel and Beauchaine, Theodore P and Galdo, Matthew and Rogers, Andrew H and Hahn, Hunter and Pitt, Mark A and Myung, Jay I and Turner, Brandon M and Ahn, Woo-Young},
  year = 2020,
  journal = {Clinical Psychological Science},
  customb ={https://github.com/CCS-Lab/Haines_2020_CPS}

}


@article{10.1167/16.2.4,
    author = {Wallis, Thomas S. A. and Bethge, Matthias and Wichmann, Felix A.},
    title = "{Testing models of peripheral encoding using metamerism in an oddity paradigm}",
    journal = {Journal of Vision},
    volume = {16},
    number = {2},
    pages = {4-4},
    year = {2016},
    month = {03},
    abstract = "{ Most of the visual field is peripheral, and the periphery encodes visual input with less fidelity compared to the fovea. What information is encoded, and what is lost in the visual periphery? A systematic way to answer this question is to determine how sensitive the visual system is to different kinds of lossy image changes compared to the unmodified natural scene. If modified images are indiscriminable from the original scene, then the information discarded by the modification is not important for perception under the experimental conditions used. We measured the detectability of modifications of natural image structure using a temporal three-alternative oddity task, in which observers compared modified images to original natural scenes. We consider two lossy image transformations, Gaussian blur and Portilla and Simoncelli texture synthesis. Although our paradigm demonstrates metamerism (physically different images that appear the same) under some conditions, in general we find that humans can be capable of impressive sensitivity to deviations from natural appearance. The representations we examine here do not preserve all the information necessary to match the appearance of natural scenes in the periphery. }",
    issn = {1534-7362},
    doi = {10.1167/16.2.4},
    url = {https://doi.org/10.1167/16.2.4},
    eprint = {https://arvojournals.org/arvo/content\_public/journal/jov/934904/i1534-7362-16-2-4.pdf},
    customb = {https://t.co/ggvYvnK4C1?amp=1}
}

@article {10.7554/eLife.42512,
article_type = {journal},
title = {Image content is more important than Bouma’s Law for scene metamers},
author = {Wallis, Thomas SA and Funke, Christina M and Ecker, Alexander S and Gatys, Leon A and Wichmann, Felix A and Bethge, Matthias},
editor = {Behrens, Timothy E and Herzog, Michael and Herzog, Michael and Caas, John},
volume = 8,
year = 2019,
month = {apr},
pub_date = {2019-04-30},
pages = {e42512},
citation = {eLife 2019;8:e42512},
doi = {10.7554/eLife.42512},
url = {https://doi.org/10.7554/eLife.42512},
abstract = {We subjectively perceive our visual field with high fidelity, yet peripheral distortions can go unnoticed and peripheral objects can be difficult to identify (crowding). Prior work showed that humans could not discriminate images synthesised to match the responses of a mid-level ventral visual stream model when information was averaged in receptive fields with a scaling of about half their retinal eccentricity. This result implicated ventral visual area V2, approximated ‘Bouma’s Law’ of crowding, and has subsequently been interpreted as a link between crowding zones, receptive field scaling, and our perceptual experience. However, this experiment never assessed natural images. We find that humans can easily discriminate real and model-generated images at V2 scaling, requiring scales at least as small as V1 receptive fields to generate metamers. We speculate that explaining why scenes look as they do may require incorporating segmentation and global organisational constraints in addition to local pooling.},
keywords = {visual perception, scene appearance, texture perception, crowding},
journal = {eLife},
issn = {2050-084X},
publisher = {eLife Sciences Publications, Ltd},
customb ={https://zenodo.org/record/1475111}
}

@article{10.1167/17.12.5,
    author = {Wallis, Thomas S. A. and Funke, Christina M. and Ecker, Alexander S. and Gatys, Leon A. and Wichmann, Felix A. and Bethge, Matthias},
    title = "{A parametric texture model based on deep convolutional features closely matches texture appearance for humans}",
    journal = {Journal of Vision},
    volume = {17},
    number = {12},
    pages = {5-5},
    year = {2017},
    month = {10},
    abstract = "{ Our visual environment is full of texture—“stuff” like cloth, bark, or gravel as distinct from “things” like dresses, trees, or paths—and humans are adept at perceiving subtle variations in material properties. To investigate image features important for texture perception, we psychophysically compare a recent parametric model of texture appearance (convolutional neural network [CNN] model) that uses the features encoded by a deep CNN (VGG-19) with two other models: the venerable Portilla and Simoncelli model and an extension of the CNN model in which the power spectrum is additionally matched. Observers discriminated model-generated textures from original natural textures in a spatial three-alternative oddity paradigm under two viewing conditions: when test patches were briefly presented to the near-periphery (“parafoveal”) and when observers were able to make eye movements to all three patches (“inspection”). Under parafoveal viewing, observers were unable to discriminate 10 of 12 original images from CNN model images, and remarkably, the simpler Portilla and Simoncelli model performed slightly better than the CNN model (11 textures). Under foveal inspection, matching CNN features captured appearance substantially better than the Portilla and Simoncelli model (nine compared to four textures), and including the power spectrum improved appearance matching for two of the three remaining textures. None of the models we test here could produce indiscriminable images for one of the 12 textures under the inspection condition. While deep CNN (VGG-19) features can often be used to synthesize textures that humans cannot discriminate from natural textures, there is currently no uniformly best model for all textures and viewing conditions. }",
    issn = {1534-7362},
    doi = {10.1167/17.12.5},
    url = {https://doi.org/10.1167/17.12.5},
    eprint = {https://arvojournals.org/arvo/content\_public/journal/jov/936521/i1534-7362-17-12-5.pdf},
    customb = {https://zenodo.org/record/836726}
}

@misc{leuker_samartzidis_hertwig_2020,
 title={What makes a market transaction morally repugnant?},
 url={https://psyarxiv.com/dgz4s},
 DOI={10.31234/osf.io/dgz4s},
 publisher={PsyArXiv},
 author={Leuker, Christina and Samartzidis, Lasare and Hertwig, Ralph},
 year={2020},
 month={Apr}
}

@misc{greene_rhodes_2020,
 title={A tutorial on Cognitive Modeling for Cognitive Aging Researchers},
 url={https://psyarxiv.com/qsnea},
 DOI={10.31234/osf.io/qsnea},
 publisher={PsyArXiv},
 author={Greene, Nathaniel R and Rhodes, Stephen},
 year={2020},
 month={Sep}
}

@misc{tylen_fusaroli_smith_arnoldi_2020,
 title={The social route to abstraction: interaction and diversity enhance rule-formation and transfer in a categorization task},
 url={https://psyarxiv.com/qs253},
 DOI={10.31234/osf.io/qs253},
 publisher={PsyArXiv},
 author={Tylén, Kristian and Fusaroli, Riccardo and Smith, Pernille and Arnoldi, Jakob},
 year={2020},
 month={Aug}
}

@misc{ishkhanyan_fusaroli_hojen_tylen_johansson_christiansen_2020,
 title={Cross-linguistic differences in categorical perception: {Comparison} of Danish and Norwegian},
 url={https://psyarxiv.com/jpbtw},
 DOI={10.31234/osf.io/jpbtw},
 publisher={PsyArXiv},
 author={Ishkhanyan, Byurakn and Fusaroli, Riccardo and Højen, Anders and Tylén, Kristian and Johansson, Christer and Christiansen, Morten H},
 year={2020},
 month={Aug}
}

@article{Weed,
author = {Ethan Weed  and Riccardo Fusaroli },
title = {Acoustic Measures of Prosody in Right-Hemisphere Damage: {A} Systematic Review and Meta-Analysis},
journal = {Journal of Speech, Language, and Hearing Research},
volume = {63},
number = {6},
pages  = {1762-1775},
year = {2020},
doi = {10.1044/2020\_JSLHR-19-00241},
eprint = {https://pubs.asha.org/doi/pdf/10.1044/2020\_JSLHR-19-00241}
}

@article {Tylen4578,
	author = {Tyl{\'e}n, Kristian and Fusaroli, Riccardo and Rojo, Sergio and Heimann, Katrin and Fay, Nicolas and Johannsen, Niels N. and Riede, Felix and Lombard, Marlize},
	title = {The evolution of early symbolic behavior in Homo sapiens},
	volume = {117},
	number = {9},
	pages = {4578--4584},
	year = {2020},
	doi = {10.1073/pnas.1910880117},
	publisher = {National Academy of Sciences},
	abstract = {Early symbolic behavior of Homo sapiens is challenging to address yet arguably fundamental to the success of our species. We used ancient engravings from the South African Blombos Cave and Diepkloof Rock Shelter in a number of controlled cognitive experiments to qualify discussions about the evolution of early symbolic traditions. We found that the engravings evolved over a period of 30,000 y to become more effective {\textquotedblleft}tools for the mind,{\textquotedblright} that is, more salient to the human eye, increasingly expressive of human intent and identity, and easier to reproduce from memory. Our experiments suggest that the engravings served as decorations and expressions of socially transmitted cultural traditions, while we found no clear evidence that they served as denotational symbolic signs.How did human symbolic behavior evolve? Dating up to about 100,000 y ago, the engraved ochre and ostrich eggshell fragments from the South African Blombos Cave and Diepkloof Rock Shelter provide a unique window into presumed early symbolic traditions of Homo sapiens and how they evolved over a period of more than 30,000 y. Using the engravings as stimuli, we report five experiments which suggest that the engravings evolved adaptively, becoming better-suited for human perception and cognition. More specifically, they became more salient, memorable, reproducible, and expressive of style and human intent. However, they did not become more discriminable over time between or within the two archeological sites. Our observations provide support for an account of the Blombos and Diepkloof engravings as decorations and as socially transmitted cultural traditions. By contrast, there was no clear indication that they served as denotational symbolic signs. Our findings have broad implications for our understanding of early symbolic communication and cognition in H. sapiens.},
	issn = {0027-8424},
	URL = {https://www.pnas.org/content/117/9/4578},
	eprint = {https://www.pnas.org/content/117/9/4578.full.pdf},
	journal = {Proceedings of the National Academy of Sciences}
}

@article{nolle2020language,
  title={Language as shaped by the environment: linguistic construal in a collaborative spatial task},
  author={N{\"o}lle, Jonas and Fusaroli, Riccardo and Mills, Gregory J and Tyl{\'e}n, Kristian},
  journal={Palgrave Communications},
  volume={6},
  number={1},
  pages={1--10},
  year={2020},
  publisher={Palgrave}
}

@article{PAROLA202024,
title = "Voice patterns in schizophrenia: A systematic review and Bayesian meta-analysis",
journal = "Schizophrenia Research",
volume = "216",
pages = "24 - 40",
year = "2020",
issn = "0920-9964",
doi = "https://doi.org/10.1016/j.schres.2019.11.031",
url = "http://www.sciencedirect.com/science/article/pii/S0920996419305389",
author = "Alberto Parola and Arndis Simonsen and Vibeke Bliksted and Riccardo Fusaroli",
keywords = "Acoustic analysis, Social communication, Machine learning, Biomarker, Negative symptoms, Speech signal",
abstract = "Voice atypicalities have been a characteristic feature of schizophrenia since its first definitions. They are often associated with core negative symptoms such as flat affect and alogia, and with the social impairments seen in the disorder. This suggests that voice atypicalities may represent a marker of clinical features and social functioning in schizophrenia. We systematically reviewed and meta-analyzed the evidence for distinctive acoustic patterns in schizophrenia, as well as their relation to clinical features. We identified 46 articles, including 55 studies with a total of 1254 patients with schizophrenia and 699 healthy controls. Summary effect sizes (Hedges'g and Pearson's r) estimates were calculated using multilevel Bayesian modeling. We identified weak atypicalities in pitch variability (g = −0.55) related to flat affect, and stronger atypicalities in proportion of spoken time, speech rate, and pauses (g's between −0.75 and −1.89) related to alogia and flat affect. However, the effects were mostly modest (with the important exception of pause duration) compared to perceptual and clinical judgments, and characterized by large heterogeneity between studies. Moderator analyses revealed that tasks with a more demanding cognitive and social component showed larger effects both in contrasting patients and controls and in assessing symptomatology. In conclusion, studies of acoustic patterns are a promising but, yet unsystematic avenue for establishing markers of schizophrenia. We outline recommendations towards more cumulative, open, and theory-driven research."
}

@inproceedings{dideriksen2019contextualizing,
  title={Contextualizing conversational strategies: {Backchannel}, repair and linguistic alignment in spontaneous and task-oriented conversations},
  author={Dideriksen, Christina and Fusaroli, Riccardo and Tyl{\'e}n, Kristian and Dingemanse, Mark and Christiansen, Morten H},
  booktitle={CogSci'19},
  pages={261--267},
  year={2019},
  organization={Cognitive Science Society}
}


%% Shravan's file:

@article{paape2020quadruplex,
  title = {Quadruplex negatio invertit? {T}he on-line processing of depth charge sentences},
  author = {Paape, Dario and Vasishth, Shravan and von der Malsburg, Titus},
  year = {2020},
  journal = {Journal of Semantics},
  note = {Accepted},
  pdf = {https://psyarxiv.com/uw64a/},
  customb = {https://osf.io/rb748/},
  publisher = {Oxford University Press}
}

@article{BuerkiEtAl2020,
  title = {What did we learn from forty years of research on semantic interference? {A Bayesian} meta-analysis},
  author = {Audrey B{\"u}rki and Shereen Elbuy and Sylvain Madec and Shravan Vasishth},
  year = {2020},
  doi = {10.1016/j.jml.2020.104125},
  customb = {https://osf.io/k6f4c/},
  journal = {Journal of Memory and Language}
}



@article{SchadEtAlWorkflow,
  author = {Daniel J. Schad and Michael Betancourt and Shravan Vasishth},
  title = {Towards a principled {B}ayesian workflow: {A} tutorial for cognitive science},
  year = {2020},
  pdf = {https://arxiv.org/abs/1904.12765},
  customb = {https://osf.io/b2vx9/},
  journal = {Psychological Methods},
  note = {In Press}
}


@article{ALV2019,
  author = {Avetisyan, Serine and Lago, Sol and Vasishth, Shravan},
  journal = {Journal of Memory and Language},
  customb = {https://osf.io/ye98q/},
  title = {Does case marking affect agreement attraction in comprehension?},
  year = {2020},
  volume = {112},
  doi = {https://doi.org/10.1016/j.jml.2020.104087}
}

@article{JaegerMertzenVanDykeVasishth2019,
  author = {J\"ager, Lena A. and Mertzen, Daniela and Van Dyke, Julie A. and Vasishth, Shravan},
  title = {Interference patterns in subject-verb agreement and reflexives revisited: {A} large-sample study},
  year = {2020},
  volume = {111},
  journal = {Journal of Memory and Language},
  customb = {https://osf.io/reavs/},
  doi = {https://doi.org/10.1016/j.jml.2019.104063}
}

@article{VasishthEtAlTiCS2019,
  title = {Computational models of retrieval processes in sentence processing},
  author = {Shravan Vasishth and Bruno Nicenboim and Felix Engelmann and Frank Burchert},
  journal = {Trends in Cognitive Sciences},
  year = {2019},
  volume = {23},
  optissue = {11},
  pages = {968--982},
  pdf = {https://psyarxiv.com/e4jds},
  customb = {https://osf.io/qtvxj/},
  doi = {https://doi.org/10.1016/j.tics.2019.09.003}
}




@article{paapehemforthvasishth2018,
  title = {Processing of ellipsis with garden-path antecedents in {French and German}: {E}vidence from eye tracking},
  author = {Dario Paape and Barbara Hemforth and Shravan Vasishth},
  journal = {PLoS ONE},
  year = {2018},
  url = {http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0198620}
}

@article{VasishthMertzenJaegerGelman2018,
  author = {Vasishth, Shravan and Mertzen, Daniela and J\"ager, Lena A. and Gelman, Andrew},
  journal = {Journal of Memory and Language},
  url = {https://osf.io/eyphj/},
  doi = {https://doi.org/10.1016/j.jml.2018.07.004},
  title = {The statistical significance filter leads to overoptimistic expectations of replicability},
  year = {2018},
  volume = {103},
  pages = {151-175}
}


@article{JaegerEngelmannVasishth2017,
  author = {J{\"a}ger, Lena A. and Engelmann, Felix and Vasishth, Shravan},
  title = {Similarity-based interference in sentence comprehension: {Literature review and Bayesian meta-analysis}},
  pdf = {http://www.ling.uni-potsdam.de/~vasishth/pdfs/JaegerEngelmannVasishthJML2017.pdf},
  abstract = {We report a comprehensive review of the published reading studies on retrieval interference in reflexive-/reciprocal-antecedent and subject-verb dependencies. We also provide a quantitative random-effects meta-analysis of self-paced and eyetracking reading studies. We show that the empirical evidence is only partly consistent with cue-based retrieval as implemented in the ACT-R-based model of sentence processing by Lewis \& Vasishth 2005 (LV05) and that there are important differences between the reviewed dependency types. In non-agreement subject-verb dependencies, there is evidence for inhibitory interference in configurations where the correct dependent fully matches the retrieval cues. This is consistent with the LV05 cue-based retrieval account. By contrast, in subject-verb agreement as well as in reflexive-/reciprocal-antecedent dependencies, no evidence for interference is found in configurations with a fully cue-matching subject. In configurations with only a partially cue-matching subject or antecedent, the meta-analysis revealed facilitatory interference in subject-verb agreement and inhibitory interference in reflexives/reciprocals. The former is consistent with the LV05 account, but the latter is not. Moreover, the meta-analysis revealed that  (i) interference type (proactive versus retroactive) leads to different effects in the reviewed dependency types; and (ii) the prominence of the distractor has an important impact on the interference effect. 
In sum, the meta-analysis suggests that the LV05 needs important modifications to account for (i) the unexplained interference patterns and (ii) the differences between the dependency types. More generally, the meta-analysis provides a quantitative empirical basis for comparing the predictions of competing accounts of retrieval processes in sentence comprehension.},
  year = {2017},
  volume = {94},
  pages = {316-339},
  journal = {Journal of Memory and Language},
  customb = {https://github.com/vasishth/MetaAnalysisJaegerEngelmannVasishth2017},
  doi = {https://doi.org/10.1016/j.jml.2017.01.004}
}


@article{SafaviEtAlFrontiers2016,
  author = {Molood Sadat Safavi and Samar Husain and Shravan Vasishth},
  journal = {Frontiers in Psychology},
  title = {Dependency resolution difficulty increases with distance in {P}ersian separable complex predicates: Implications for expectation and memory-based accounts},
  optnote = {Special Issue on Encoding and Navigating Linguistic Representations in Memory},
  pdf = {http://journal.frontiersin.org/article/10.3389/fpsyg.2016.00403/full},
  customb = {http://www.ling.uni-potsdam.de/~vasishth/code/SafaviEtAl2016DataCode.zip},
  year = {2016},
  volume = {7},
  issue = {403},
  optdoi = {10.3389/fpsyg.2016.00403},
  abstract = {Delaying the appearance of a verb in a noun-verb dependency tends to increase processing difficulty at the verb; one explanation for this locality effect is decay and/or interference of the noun in working memory. Surprisal, an expectation-based account, predicts that delaying the appearance of a verb either renders it no more predictable or more predictable, leading respectively to a prediction of no effect of distance or a facilitation.  Recently, Husain et al (2014) suggested that when the exact identity of the upcoming verb is predictable (strong predictability), increasing argument-verb distance leads to facilitation effects, which is consistent with surprisal; but when the exact identity of the upcoming verb is not predictable (weak predictability), locality effects are seen. We investigated Husain et al.'s proposal using Persian complex predicates (CPs), which consist of a non-verbal element---a noun in the current study---and a verb. In CPs, once the noun has been read, the exact identity of the verb is highly predictable (strong predictability); this was confirmed using a sentence completion study. In two self-paced reading (SPR) and two eye-tracking (ET) experiments, we delayed the appearance of the verb by interposing a relative clause (Expt. 1 and 3) or a long PP (Expt. 2 and 4). 
We also included a simple Noun-Verb predicate configuration with the same distance manipulation; here, the exact identity of the verb was not predictable (weak predictability). Thus, the design crossed Predictability Strength and Distance.  We found that, consistent with surprisal, the verb in the strong predictability conditions was read faster than in the weak predictability conditions. Furthermore, greater verb-argument distance led to slower reading times;  strong predictability did not neutralize or attenuate the locality effects. As regards the effect of distance on dependency resolution difficulty, these four experiments  present evidence in favor of  working memory accounts of argument-verb dependency resolution, and against the surprisal-based expectation account of Levy (2008). However, another expectation-based measure, entropy, which was computed using the offline sentence completion data, predicts reading times in Experiment 1. We suggest that forgetting due to memory overload leads to greater entropy at the verb.}
}


@article{SorensenVasishthTutorial,
  title = {{B}ayesian linear mixed models using {S}tan: {A} tutorial for psychologists, linguists, and cognitive scientists},
  year = {2016},
  author = {Tanner Sorensen and Sven Hohenstein and Shravan Vasishth},
  journal = {Quantitative Methods for Psychology},
  pdf = {http://www.tqmp.org/RegularArticles/vol12-3/p175/p175.pdf},
  url = {http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html},
  abstract = {With the arrival of the R packages \texttt{nlme} and \texttt{lme4}, linear mixed models (LMMs) have come to be widely used in experimentally-driven areas like psychology, linguistics, and cognitive science. This tutorial provides a practical introduction to fitting LMMs in a Bayesian framework using the probabilistic programming language Stan. We choose Stan (rather than WinBUGS or JAGS) because it provides an elegant and scalable framework for fitting models in most of the standard applications of LMMs. We ease the reader into fitting increasingly complex LMMs, using a two-condition repeated measures self-paced reading study.},
  volume = {12},
  number = {3},
  pages = {175-200}
}

@article{LogacevVasishthQJEP2016,
  title = {Understanding underspecification: {A} comparison of two computational implementations},
  year = {2016},
  journal = {Quarterly Journal of Experimental Psychology},
  author = {Pavel Loga{\v c}ev and Shravan Vasishth},
  volume = {69},
  number = {5},
  pages = {996-1012},
  doi = {http://dx.doi.org/10.1080/17470218.2015.1134602},
  customb = {https://github.com/plogacev/manuscript_LogacevVasishth_TQJEP_Underspecification/tree/master/Data_Swets_et_al},
  pdf = {http://www.ling.uni-potsdam.de/~vasishth/pdfs/LogacevVasishthQJEP2016.pdf},
  abstract = {Swets et al. (2008) present evidence that the so-called ambiguity advantage (Traxler et al., 1998), which has been explained in terms of the Unrestricted Race Model, can equally well be explained by assuming underspecification in ambiguous conditions driven by task-demands. Specifically, if comprehension questions require that ambiguities be resolved, the parser tends to make an attachment: when questions are about superficial aspects of the target sentence, readers tend to pursue an underspecification strategy. It is reasonable to assume that individual differences in strategy will play a significant role in the application of such strategies, so that studying average behavior may not be informative. In order to study the predictions of the good-enough processing theory, we implemented two versions of underspecification: the partial specification model (PSM), which is an implementation of the Swets et al. proposal, and a more parsimonious version, the non-specification model (NSM). We evaluate the relative fit of these two kinds of underspecification to Swets et al.’s data; as a baseline, we also fit three models that assume no underspecification. We find that a model without unspecification pro- vides a somewhat better fit than both underspecification models, while the NSM model provides a better fit than the PSM. We interpret the results as lack of unambiguous evidence in favor of underspecification; however, given that there is considerable existing evidence for good-enough processing in the literature, it is reasonable to assume that some underspecification might occur. Under this assumption, the results can be interpreted as tentative ev- idence for NSM over PSM. More generally, our work provides a method for choosing between models of real-time processes in sentence comprehension that make qualitative predictions about the relationship between several dependent variables. We believe that sentence processing research will greatly benefit from a wider use of such methods.}
}


@article{FrankEtAl2015,
  author = {Stefan L. Frank and Thijs Trompenaars and Shravan Vasishth},
  title = {Cross-linguistic differences in processing double-embedded relative clauses: {W}orking-memory constraints or language statistics?},
  year = {2015},
  pages = {554-578},
  volume = {40},
  doi = {10.1111/cogs.12247},
  abstract = {An English double-embedded relative clause from which the middle verb is omitted can often be processed more easily than its grammatical counterpart, a phenomenon known as the grammaticality illusion. This effect has been found to be reversed in German, suggesting that the illusion is language specific rather than a consequence of universal working memory constraints. We present results from three self-paced reading experiments which show that Dutch native speakers also do not show the grammaticality illusion in Dutch, whereas both German and Dutch native speakers do show the illusion when reading English sentences. These findings provide evidence against working memory constraints as an explanation for the observed effect in English. We propose an alternative account based on the statistical patterns of the languages involved. In support of this alternative, a single recurrent neural network model that is trained on both Dutch and English sentences indeed predicts the cross-linguistic difference in grammaticality effect.},
  journal = {Cognitive Science},
  customb = {https://github.com/vasishth/StanJAGSexamples/tree/master/FrankEtAlCogSci2015},
  pdf = {http://stefanfrank.info/pubs/GrammaticalityIllusion.pdf}
}

%%%

@article{burkner2019ordinal,
  title={Ordinal regression models in psychology: A tutorial},
  author={B{\"u}rkner, Paul-Christian and Vuorre, Matti},
  journal={Advances in Methods and Practices in Psychological Science},
  volume={2},
  number={1},
  pages={77--101},
  year={2019},
  publisher={SAGE Publications Sage CA: Los Angeles, CA}
}

@article{burkner2020modelling,
  title={Modelling monotonic effects of ordinal predictors in Bayesian regression models},
  author={B{\"u}rkner, Paul-Christian and Charpentier, Emmanuel},
  journal={British Journal of Mathematical and Statistical Psychology},
  year={2020},
  publisher={Wiley Online Library}
}

%%


@article{Nalborczyk2019,
author = {Ladislas Nalborczyk  and Cédric Batailler  and Hélène Lœvenbruck  and Anne Vilain  and Paul-Christian B{\"u}rkner},
title = {An Introduction to Bayesian Multilevel Models Using brms: {A} Case Study of Gender Effects on Vowel Variability in Standard Indonesian},
journal = {Journal of Speech, Language, and Hearing Research},
volume = {62},
number = {5},
pages  = {1225-1242},
year = {2019},
doi = {10.1044/2018\_JSLHR-S-18-0006},
eprint = {https://pubs.asha.org/doi/pdf/10.1044/2018_JSLHR-S-18-0006}
}

@article{Molto,
author = {Lisa Molto and Ladislas Nalborczyk and Richard Palluel-Germain and Nicolas Morgado},
title ={Action Effects on Visual Perception of Distances: A Multilevel Bayesian Meta-Analysis},
journal = {Psychological Science},
volume = {31},
number = {5},
pages = {488-504},
year = {2020},
doi = {10.1177/0956797619900336},
    note ={PMID: 32271656},

URL = { 
        https://doi.org/10.1177/0956797619900336
    
},
eprint = { 
        https://doi.org/10.1177/0956797619900336
    
}
,
    abstract = { Previous studies have suggested that action constraints influence visual perception of distances. For instance, the greater the effort to cover a distance, the longer people perceive this distance to be. The present multilevel Bayesian meta-analysis (37 studies with 1,035 total participants) supported the existence of a small action-constraint effect on distance estimation, Hedges’s g = 0.29, 95\% credible interval = [0.16, 0.47]. This effect varied slightly according to the action-constraint category (effort, weight, tool use) but not according to participants’ motor intention. Some authors have argued that such effects reflect experimental demand biases rather than genuine perceptual effects. Our meta-analysis did not allow us to dismiss this possibility, but it also did not support it. We provide field-specific conventions for interpreting action-constraint effect sizes and the minimum sample sizes required to detect them with various levels of power. We encourage researchers to help us update this meta-analysis by directly uploading their published or unpublished data to our online repository (https://osf.io/bc3wn/). }
}


@misc{nalborczyk_banjac_celine_grandchamp_koster_perrone-bertolotti_loevenbruck_2020,
 title={Dissociating facial electromyographic correlates of visual and verbal induced rumination},
 url={psyarxiv.com/vfjn2},
 DOI={10.31234/osf.io/vfjn2},
 publisher={PsyArXiv},
 author={Nalborczyk, Ladislas and Banjac, Sonja and Celine, Baeyens and Grandchamp, Romain and Koster, Ernst H W and Perrone-Bertolotti, Marcela and Loevenbruck, Hélène},
 year={2020},
 month={Mar}
}

@article{Nalborczyk_2020,
    author = {Nalborczyk, Ladislas and Grandchamp, Romain and Koster, Ernst H. W. and Perrone-Bertolotti, Marcela and Lœvenbruck, Hélène},
    journal = {PLOS ONE},
    publisher = {Public Library of Science},
    title = {Can we decode phonetic features in inner speech using surface electromyography?},
    year = {2020},
    month = {05},
    volume = {15},
    url = {https://doi.org/10.1371/journal.pone.0233282},
    pages = {1-27},
    abstract = {Although having a long history of scrutiny in experimental psychology, it is still controversial whether wilful inner speech (covert speech) production is accompanied by specific activity in speech muscles. We present the results of a preregistered experiment looking at the electromyographic correlates of both overt speech and inner speech production of two phonetic classes of nonwords. An automatic classification approach was undertaken to discriminate between two articulatory features contained in nonwords uttered in both overt and covert speech. Although this approach led to reasonable accuracy rates during overt speech production, it failed to discriminate inner speech phonetic content based on surface electromyography signals. However, exploratory analyses conducted at the individual level revealed that it seemed possible to distinguish between rounded and spread nonwords covertly produced, in two participants. We discuss these results in relation to the existing literature and suggest alternative ways of testing the engagement of the speech motor system during wilful inner speech production.},
    number = {5},
    doi = {10.1371/journal.pone.0233282}
}


@article{NALBORCZYK_201753,
title = {Orofacial electromyographic correlates of induced verbal rumination},
journal = {Biological Psychology},
volume = {27},
pages = {53--63},
year = {2017},
issn = {0301-0511},
doi = {10.1016/j.biopsycho.2017.04.013},
url = {http://www.sciencedirect.com/science/article/pii/S0301051117300820},
author = {Ladislas Nalborczyk and Marcela Perrone-Bertolotti and Céline Baeyens and Romain Grandchamp and Mircea Polosan and Elsa Spinelli and Ernst H.W. Koster and Hélène Lœvenbruck}
}

@article{KentnerFranz2019,
  title={No evidence for prosodic effects on the syntactic encoding of complement clauses in German},
  author={Kentner, Gerrit and Franz, Isabelle},
  journal={Glossa: a journal of general linguistics},
  volume={4},
  number={1},
  pages={1--29},
  year={2019},
  customb={https://doi.org/10.5334/gjgl.565.s1}
}


@article{roettger_mapping_2019,
	title = {Mapping prosody onto meaning–the case of information structure in {American} {English}},
	volume = {34},
	doi = {https://doi.org/10.1080/23273798.2019.1587482},
	number = {7},
	journal = {Language, Cognition and Neuroscience},
	author = {Roettger, Timo B and Mahrt, Tim and Cole, Jennifer},
	year = {2019},
	pages = {841--860},
	customb={https://osf.io/4qxmh/}
}

@article{roettger_evidential_2019,
	title = {Evidential {Strength} of {Intonational} {Cues} and {Rational} {Adaptation} to ({Un}-){Reliable} {Intonation}},
	volume = {43},
	issn = {1551-6709},
	doi = {10.1111/cogs.12745},
	number = {7},
	journal = {Cognitive Science},
	author = {Roettger, Timo B. and Franke, Michael},
	year = {2019},
	customb={https://osf.io/dnbuk/}
}

@article{roettger_listeners_2020,
	title = {Listeners' adaptation to unreliable intonation is speaker-sensitive},
	volume = {204},
	issn = {0010-0277},
	doi = {10/gg43nk},
	journal = {Cognition},
	author = {Roettger, Timo B. and Rimland, Kim},
	month = nov,
	year = {2020},
	pages = {104372},
	customb={https://osf.io/fdpg4/}
}

@article{soskuthy_when_2020,
	title = {When the tune shapes morphology: {The} origins of vocatives},
	volume = {5},
	issn = {2058-458X},
	doi = {10/gg9nc2},
	number = {2},
	urldate = {2020-09-03},
	journal = {Journal of Language Evolution},
	author = {Sóskuthy, Márton and Roettger, Timo B},
	month = aug,
	year = {2020},
	pages = {140--155},
	customb={https://osf.io/ejr8m/}
}

@article{roettger_toward_2019,
	title = {Toward a replication culture: {Speech} production research in the classroom},
	volume = {1},
	issn = {2642-1828},
	doi = {10.3765/pda.v1art4.13},
	number = {4},
	journal = {Phonological Data and Analysis},
	author = {Roettger, Timo B. and Baer-Henney, Dinah},
	month = nov,
	year = {2019},
	note = {Number: 4},
	pages = {1--23},
	customb = {https://osf.io/9kywf/}
}

@techreport{franke_bayesian_2019,
	type = {preprint},
	title = {Bayesian regression modeling (for factorial designs): {A} tutorial},
	shorttitle = {Bayesian regression modeling (for factorial designs)},
	url = {https://osf.io/cdxv3},
	institution = {PsyArXiv},
	author = {Franke, Michael and Roettger, Timo Benjamin},
	month = jul,
	year = {2019},
	doi = {10.31234/osf.io/cdxv3},
	customb = {https://github.com/michael-franke/bayes_mixed_regression_tutorial}
}

@article{Milne:2020aa,
	author = {Milne, Andrew J. and Herff, Steffen A.},
	journal = {Cognition},
	pages = {104233},
	title = {The perceptual relevance of balance, evenness, and entropy in musical rhythms},
	volume = {203},
	year = {2020},
	eprint = {https://psyarxiv.com/5ue9a/},
	customb = {https://osf.io/stnyg/}
}


@article{Smit:2019aa,
	author = {Eline Adrianne Smit and Andrew J. Milne and Roger T. Dean and Gabrielle Weidemann},
	journal = {PLOS ONE},
	month = {06},
	number = {6},
	pages = {1-28},
	title = {Perception of affect in unfamiliar musical chords},
	volume = {14},
	year = {2019},
	eprint = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0218570}
}


@article{doi:10.1177/1029864920948575,
	author = {Eline A. Smit and Andrew J. Milne and Roger T. Dean and Gabrielle Weidemann},
	journal = {Musicae Scientiae},
	pages = {1029864920948575},
	title = {Making the unfamiliar familiar: {The} effect of exposure on ratings of unfamiliar musical chords},
	year = {2020},
	eprint = {https://www.researchgate.net/publication/343919664_Making_the_Unfamiliar_Familiar_The_Effect_of_Exposure_on_Ratings_of_Unfamiliar_Musical_Chords},
	customb = {https://osf.io/6fg7b/}
}


@article{Stanford:2018aa,
	author = {Sophia Stanford and Andrew J. Milne and Jennifer MacRitchie},
	journal = {Applied Sciences},
	number = {12},
	pages = {2514},
	title = {The effect of isomorphic pitch layouts on the transfer of musical learning},
	volume = {8},
	year = {2018},
	eprint = {https://www.mdpi.com/376846},
	customb = {https://osf.io/6vgph/}
}

@article{HerffENEURO.0413-19.2020,
	author = {Herff, S. A. and Herff, C. and Milne, A. J. and Johnson, G. D. and Shih, J. J. and Krusienski, D. J.},
	journal = {eNeuro},
	title = {Prefrontal High Gamma in {ECoG} tags periodicity of musical rhythms in perception and imagination},
	year = {2020},
	eprint = {https://www.eneuro.org/content/7/4/ENEURO.0413-19.2020}
}

@article{abir2020getting,
  title={Getting to the heart of it: Multi-method exploration of nonconscious prioritization processes},
  author={Abir, Yaniv and Hassin, Ran R},
  journal={Consciousness and Cognition},
  volume={85},
  pages={103005},
  year={2020},
  publisher={Elsevier},
  customb = {https://doi.org/10.24433/CO.2463446.v1}
}

@article{Szewczyk_Power_of_good_2021_JEP_LMC,
	title = {The power of “good”: {Can} adjectives rapidly decrease as well as increase the availability of the upcoming noun?},
	shorttitle = {The power of “good”},
	url = {https://doi.org/10.1037/xlm0001091},
	doi = {10.1037/xlm0001091},
	journal = {Journal Of Experimental Psychology. Learning, Memory, And Cognition},
	author = {Szewczyk, Jakub M. and Mech, Emily N. and Federmeier, Kara D.},
	year = {2021},
	note = {10.1037/xlm0001091},
	keywords = {N400, Neuroscience, sentence processing, Language, Cognitive Psychology, Social and Behavioral Sciences, incremental processing, noun phrases, updating},
    customb = { https://osf.io/5rtn4/ },
    eprint = { https://psyarxiv.com/ytaz3/ }
}