common_reps_production_recognition

paper + code for "Common object representations for production and recognition"

paper

A preprint of this paper is available on bioRxiv: https://www.biorxiv.org/content/early/2018/07/16/097840.

The version of this paper published in Cognitive Science will also be added soon.

code

getting the data

Please navigate to the figshare repo where data/results from this paper have been archived: https://figshare.com/articles/common_repns_production_recognition_data/4503092.

Download files and move to the data directory before running the analysis notebooks.

running the jupyter notebooks

There are three analysis notebooks here, corresponding to the three major results sections of the paper:

1. Crossdomain feature analyses
2. Drawing experiment analyses
3. Categorical perception experiment analyses

These notebooks were developed in Python 2.7. Please note any additional software dependencies in the header of each notebook.