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 …

Patterns of brain activity contain meaningful information about the perceived world. Recent
decades have welcomed a new era in neural analyses, with computational techniques from …

Understanding object representations requires a broad, comprehensive sampling of the
objects in our visual world with dense measurements of brain activity and behavior. Here …

Within a fraction of a second of viewing a face, we have already determined its gender, age
and identity. A full understanding of this remarkable feat will require a characterization of the …

To behave adaptively with sufficient flexibility, biological organisms must cognize beyond
immediate reaction to a physically present stimulus. For this, humans use visual mental …

The human brain achieves visual object recognition through multiple stages of linear and
nonlinear transformations operating at a millisecond scale. To predict and explain these …

Abstract Background Traditionally, EEG/MEG data are high-pass filtered and baseline-
corrected to remove slow drifts. Minor deleterious effects of high-pass filtering in traditional …

Predictive coding is an influential model of cortical neural activity. It proposes that perceptual
beliefs are furnished by sequentially minimising “prediction errors”—the differences between …

To interact with objects in complex environments, we must know what they are and where
they are in spite of challenging viewing conditions. Here, we investigated where, how and …

Core object recognition, the ability to rapidly recognize objects despite variations in their
appearance, is largely solved through the feedforward processing of visual information …