Object representations match closely between man and monkey
Matching IT representations in man and monkey (A) Representational dissimilarity matrices for monkey and human IT cortex reveal matching representations in the two species. Human data is from 316 bilateral inferior temporal voxels selected by their visual-object response in an independent data set. Monkey data is from 674 IT single cells isolated in two monkeys (Kiani et al., 2007). (B) Stimulus arrangements reflecting IT response-pattern dissimilarity in monkey and human with fiber-flow visualization of the interspecies relationship. The experimental stimuli have been arranged such that their pairwise distances approximately reflect response-pattern dissimilarity (multidimensional scaling, dissimilarity: 1 - correlation, criterion: metric stress). The analysis does not presuppose any categorical structure, but the arrangement quite cleanly divides animates and inanimates as well as faces (including human and nonhuman faces) and bodies. Colors code for conventional category: face (red), body (magenta), natural object (blue), artificial object (cyan). The connecting fibers serve to visually relate individual stimuli between the two arrangements. In addition, the thickness of the fibers can be used to visualize relational statistics. Here the thickness of each fiber reflects to what extent the corresponding stimulus is inconsistently represented in monkey and human IT. The interspecies inconsistency of stimulus i is defined as (1-ri)2, where ri is the correlation between the vectors (for human and monkey) of the 91 dissimilarities between stimulus i and the other stimuli. For details, see Kriegeskorte et al. (2008b).
Matching categorical object representations in inferior temporal cortex of man and monkey ,
Kriegeskorte N, Mur M, Ruff D, Kiani R, Bodurka J, Esteky H, Tanaka K, Bandettini P. (2008). Neuron 60(6): 1126-41.
Relating population-code representations between man, monkey, and computational models
Kriegeskorte N (in press) Frontiers in Neuroscience.
Representational similarity analysis – connecting the branches of systems neuroscience
Kriegeskorte N, Mur M and Bandettini PA (2008) Frontiers in Systems Neuroscience. doi:10.3389/neuro.06.004.2008.