Source: http://haxbylab.dartmouth.edu/ppl/jim.html
Timestamp: 2019-04-20 03:10:35+00:00

Document:
My current research focuses on the development of computational methods for building models of representational spaces. We assume that distributed population responses encode information. Within a cortical field, a broad range of stimuli or cognitive states can be represented as different patterns of response. We use fMRI to measure these patterns of response and multivariate pattern (MVP) analysis to decode their meaning. We are currently developing methods that make it possible to decode an individual’s brain data using MVP classifiers that are based on other subjects’ data. We use a complex, natural stimulus to sample a broad range of brain representational states as a basis for building high-dimensional models of representational spaces within cortical fields. These models are based on response tuning functions that are common across subjects. Initially, we demonstrated the validity of such a model in ventral temporal cortex. We are working on building similar models in other visual areas and in auditory areas. We also plan to investigate representation of social cognition using this same conceptual framework.
[Hax06] Haxby, J. V. (2006). Fine structure in representations of faces and objects. Nature Neuroscience , 9, 1084-6.
[lorbert2013collaborative] Lorbert, A., Guntupalli, J. S. , Eis, D. J., Haxby, J. V. and Ramadge, P. J. (2013). Collaborative denoising of multi-subject fMRI data. In (Eds.) Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on .
[CH10a] Connolly, A. C. and Haxby, J. V. (2010). Similarity-based pattern analysis reveals an emergent taxonomy of animal species along the object vision pathway. Rovereto Workshop on Concepts Actions and Objects 2010 - CAOS10, Rovereto, Italy. Poster .
[CH10b] Connolly, A. C. and Haxby, J. V. (2010). Neural similarity reveals taxonomic organization for animate categories in object-vision pathway. Organization of Human Brain Mapping Annual Meeting, Barcelona, Spain. Poster .
[CH10c] Connolly, A. C. and Haxby, J. V. (2010). Similarity-based multi-voxel pattern analysis reveals an emergent taxonomy of animal species along the object vision pathway. Vision Sciences Society 10th Annual Meeting, Naples, FL. Poster .
[NOH+OHBM15] Nastase, S. A. , Visconti di Oleggio Castello, M., Haxby, J. V. , Gobbini, M. I. and Halchenko, Y. O. (2015). Clustering cortical searchlights based on shared representational geometry. Oral presentation at the annual meeting of the Organization for Human Brain Mapping, Honolulu, HI .

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