Replication Data for: The dynamics of invariant object recognition in the human visual system

For the full citation and information for this dataset, please visit https://cbmm.mit.edu/publications/dynamics-invariant-object-recognition-human-visual-system-0 These files contain data from the paper “The dynamics of invariant object recognition in the human visual system” by Isik et al. (2014), studying size and position invariant object representations with MEG data. This dataset contains 11 subjects’ raw MEG data [1 viewing 25 scene images, 1 viewing 25 letters, and 1 viewing 25 grayscale objects; and 8 viewing 6 grayscale objects presented in 3 sizes and 3 positions]. Raw files are in .fif format and were collected using an Elekta Neuromag Triux MEG scanner and have been filtered with Signal Space Projection (Tesche et al. 1995). Raster format Matlab data (compatible with the Neural Decoding toolbox - readout.info) is also available for subjects 3-11 viewing grayscale objects. Raster format data has been epoched and bandpass filtered from 0.1-100Hz with Brainstorm software (Tadel et al. 2011). Reference: The dynamics of invariant object recognition in the human visual system. Isik L, Meyers EM, Leibo JZ, and Poggio T. (2014) The Journal of Neurophysiology. Link to code to process data: https://bitbucket.org/lisik/meg_decoding Please contact [e-mail] with questions. Leyla Isik 11/08/2016