Human neuroimaging research has transitioned from map** local effects to develo**
predictive models of mental events that integrate information distributed across multiple …

Highlights•Trade-off between sampling individual variation versus experimental
variation.•Different studies have allocated resources differently.•We argue that wide …

Since its introduction, multivariate pattern analysis (MVPA), or 'neural decoding', has
transformed the field of cognitive neuroscience. Underlying its influence is a crucial …

The application of machine learning methods to neuroimaging data has fundamentally
altered the field of cognitive neuroscience. Future progress in understanding brain function …

Neural selectivity to orientation is one of the simplest and most thoroughly-studied cortical
sensory features. Here, we show that a large body of research that purported to measure …

Orientation selectivity in primate visual cortex is organized into cortical columns. Since
cortical columns are at a finer spatial scale than the sampling resolution of standard BOLD …

Quantity processing studies typically assume functional homology between regions within
macaque and human intraparietal sulcus (IPS), where apparently similar locations respond …

Selectivity for many basic properties of visual stimuli, such as orientation, is thought to be
organized at the scale of cortical columns, making it difficult or impossible to measure …

Neural responses to visual stimuli are modulated by spatial and temporal context. For
example, in primary visual cortex (V1), responses to an oriented target stimulus will be …

The human capacity for visual categorization is core to how we make sense of the visible
world. Although a substantive body of research in cognitive neuroscience has localized this …