Multivariate decoding methods were developed originally as tools to enable accurate
predictions in real-world applications. The realization that these methods can also be …

This review describes the unique opportunities and challenges for noninvasive optical
mapping of human brain function. Diffuse optical methods offer safe, portable, and radiation …

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 …

Decoding visual stimuli from neural responses recorded by functional Magnetic Resonance
Imaging (fMRI) presents an intriguing intersection between cognitive neuroscience and …

Deep convolutional neural networks (DCNNs) and the ventral visual pathway share vast
architectural and functional similarities in visual challenges such as object recognition …

How does the human brain encode semantic information about objects? This paper
reconciles two seemingly contradictory views. The first proposes that local neural …

In recent years, time-resolved multivariate pattern analysis (MVPA) has gained much
popularity in the analysis of electroencephalography (EEG) and magnetoencephalography …

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 …

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

To what extent does language production activate cross-modal conceptual representations?
In picture naming, we view specific exemplars of concepts and then name them with a label …