Artificial deep neural networks (DNNs) initially inspired by the brain enable computers to solve
cognitive tasks at which humans excel. In the absence of explanations for such cognitive …

In natural vision, objects appear at typical locations, both with respect to visual space (eg, an
airplane in the upper part of a scene) and other objects (eg, a lamp above a table). Recent …

Any cognitive function is mediated by a network of many cortical sites whose activity is
orchestrated through complex temporal dynamics. To understand cognition, we need to identify …

A comprehensive picture of object processing in the human brain requires combining both
spatial and temporal information about brain activity. Here we acquired human …

… For the searchlight-based fMRI-DNN comparison procedure in detail, we computed the
Spearman’s R between the DNN RDM of a given layer and the fMRI RDM of a particular voxel in …

… RDL is applied and r represents the corresponding ROI from the set of all ROIs, R , that were
used in training. We use the variance of the empirical RDM at each time step, σ τ , r 2 , as a …

Visual imagery allows us to vividly imagine scenes in the absence of visual stimulation. The
likeness of visual imagery to visual perception suggests that they might share neural …

… (Spearman’s R) of the MEG decoding accuracy matrix with the explicit size model for each
time point and each participant. Second, we re-calculated the similarity (Spearman’s R) of the …

… AC4 R I think that I could easily become as attached to another club as I am to this one. …
Continuance commitment CC1 R I am not afraid of what might happen if I quit my volunteer …

… For each time point, we computed the similarity (Spearman's R) between the MEG RDM
and the fMRI RDM of each voxel. This yielded a 3-D map of representational similarity …