ANCHOR Project Page

The work in category rating and absolute identification complements my research on perceptual learning. The combination of quantitative experimentation and formal modeling proved fruitful in this domain as well. A Psychological Review article (Petrov & Anderson, 2005) consolidated the scattered literature on direct psychophysical scaling and exposed the intimate relationship between direct scaling and associative memory. A series of studies revealed that human response distributions are markedly non-stationary and non-uniform even when the stimulus distributions are stationary and uniform. Moreover, skewed stimulus distributions induce context effects in opposite directions depending on the presence or absence of feedback. A memory-based model called ANCHOR accounts for these and many other dynamic effects.

Publications

A comprehensive list of ANCHOR publications is available from my publication page. The defining article is:

Petrov, A. & Anderson, J. R. (2005)

The Dynamics of Scaling: A Memory-Based Anchor Model of Category Rating and Absolute Identification. Psychological Review, 112(2), 383-416.
Abstract Reprint (pdf)

Data Sets

Detailed data sets of the two psychophysical experiments reported in the above article are available from Alex Petrov upon request.

Software

anchor-v2.2.zip ReadMe Contents License

The complete Matlab implementation of the ANCHOR Model is available from my open-source software page under the GNU General Public License.