Research Resources

Russ Poldrack's advice for learning to code from scratch

Scientific writing

• Sarnecka, B. W. (2019). The writing workshop: Write more, write better, be happier in academia. (n.p.): Author. Available at https://sites.google.com/uci.edu/sarneckalab/book

• Mensh, B. & Kording, K. (2017) Ten simple rules for structuring papers. PLoS Comput Biol 13(9): e1005619. https://doi.org/10.1371/journal.pcbi.1005619

• Jamie Reilly's Tips for Improving Scientific Writing in the Clinical and Cognitive Neurosciences

• Appelbaum, M., Cooper, H., Kline, R. B., Mayo-Wilson, E., Nezu, A. M., & Rao, S. M. (2018). Journal Article Reporting Standards for Quantitative Research in Psychology: The APA Publications and Communications Board Task Force Report. American Psychologist, 73(1), 3-25. http://dx.doi.org/10.1037/amp0000191

Image Stimuli

• The CNBC Stimulus Repository: includes lareg collections of sound and image stimuli, as well as code and other resources

• MultiPic: A standardized set of 750 drawings with multilingual norms (Duñabeitia et al., 2017, Quarterly Journal of Experimental Psychology)

• International Picture Naming Project Stimuli (Szekely et al., 2004, Journal of Memory and Language, 51(2), 247-250): black-and-white line drawings of 520 common objects and 275 transitive and intransitive actions

• A collection of image sets compiled by Sebastiaan Mathôt.

• Novel noun and unusual name database (Horst & Hout, 2016, Behavior Research Methods, doi:10.​3758/​s13428-015-0647-3): color photographs of novel objects for word learning and categorization experiments.

Databases

• Psycholinguistic databases: http://www.reilly-coglab.com/data

• Lexical Properties: word frequencies, lengths, neighborhoods, etc.

  • MRC Psycholinguistic Database (Wilson, 1988, Behavioral Research Methods, Instruments & Computers, 20(1), 6-11): web-based search interface

  • CLEARPOND: Cross-Linguistic Easy-Access Resource for Phonological and Orthographic Neighborhood Densities (Marian et al., 2012, PLoS ONE, 7:8, e43230)

  • Corpus of Contemporary American English: 450 million words, 1990-2012. Includes spoken as well as written sources.

• Human Performance

  • Moss Aphasia Psycholinguistics Project Database (Mirman et al., 2010, Cognitive Neuropsychology): a large, searchable, web-based database of aphasic performance on picture naming and other tests of cognitive function

  • English Lexicon Project (Balota et al., 2007, Behavior Research Methods, 39(3), 445-459): large set of lexical decision and word naming data; also contains lexical properties

    • Semantic Priming Project: an extension of the ELP that examines the effect of prior context on word recognition (priming)

Semantic Representations

• Semantic feature norms

  • Semantic feature norms (and lexical data) for 541 living and nonliving things (McRae et al., 2005, Behavioral Research Methods, Instruments, & Computers)

  • Semantic feature norms (along with typicality, goodness, lexical and other data) for concepts from 15 semantic categories of animals and artifacts (De Deyne et al., 2008, Behavior Research Methods)

  • Semantic feature norms for objects and events (Vinson & Vigliocco, 2008, Behavior Research Methods)

  • Brain-based semantic representations (Binder et al., 2016, Cognitive Neuropsychology)

  • English semantic feature production norms for 4436 concepts (Buchanan et al., 2016, Behavior Research Methods)

• Taxonomic and thematic relatedness

  • Taxonomic and thematic relatedness ratings for 659 word pairs (Landrigan & Mirman, 2016, Journal of Open Psychology Data)

  • Thematic relatedness production norms for 100 object concepts (Jouravlev & McRae, 2015, Behavior Research Methods)

• Corpus-based semantic representations (for a systematic comparison see Pereira et al., 2016)

  • COALS (Rohde, Gonnerman, & Plaut)

  • BEAGLE and other tools from Michael Jones and the Cognitive Computing Laboratory at Indiana University

  • word2vec vector representations of words based on continuous bag-of-words and skip-gram architectures (distributed by Google)

Computational Modeling Software

• jTRACE: a cross-platform, easy(ier)-to-use Java re-implementation of the TRACE model (Strauss, Harris, & Magnuson, 2007, Behavior Research Methods, 39(1), 19-30)

• Lens: a "light, efficient network simulator"

• MikeNet: set of C libraries for implementing PDP models

• Jay McClelland's PDP resources page