Russ Poldrack's advice for learning to code from scratch
- Rossion & Pourtois (2004, Perception, 33, 217-236) set of color drawings based on the original Snodgrass & Vanderwart set of line drawings
- Our "expansion pack" of similar-looking images that have high name agreement: [coming soon]
- A photos version of the same item set with some additional norms (Moreno-Martínez & Montoro, 2012, PLoS ONE, 7:5, e37527)
- Bank of Standardized Stimuli (Brodeur et al., 2010, PLoS ONE, 5:5, e10773): high-quality color photos of common objects, many normed for name agreement, visual complexity, etc.
- 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, in press, Behavior Research Methods, doi:10.3758/s13428-015-0647-3): color photographs of novel objects for word learning and categorization experiments.
- Lexical Properties: word frequencies, lengths, neighborhoods, etc.
- Human Performance
- 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)
- Taxonomic and thematic relatedness
- 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