Magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) data acquired from fifteen participants viewed a set of 156 natural images. These images are organized into five categories (faces, bodies, animals, objects, scenes) or two twinsets of 78 images each.
Paper: Y. Mohsenzadeh*, C. Mullin*, B. Lahner, R. M. Cichy, A. Oliva, "Reliability and generalizability of similarity-based fusion of fMRI and MEG data in the ventral and dorsal visual streams", Vision 2019.
We transferred the official MemNet model from Caffe to Pytorch (Credit to Andrew Keys).
Paper: A. Jaegle*, V. Mehrpour*, Y. Mohsenzadeh*, T. Meyer, A. Oliva, N. Rust , "Population response magnitude variation in inferotemporal cortex predicts image memorability", eLife 2019.
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