Given concerns about the reproducibility of scientific findings, neuroimaging must define
best practices for data analysis, results reporting, and algorithm and data sharing to promote …

Historically, research on emotion perception has focused on facial expressions, and findings
from this modality have come to dominate our thinking about other modalities. Here we …

Preprocessing of functional magnetic resonance imaging (fMRI) involves numerous steps to
clean and standardize the data before statistical analysis. Generally, researchers create ad …

Faces and voices are of high importance in interpersonal communication, and there are
notable parallels between face and voice perception. However, these parallels do not sit …

The presence of complementary information across multiple sensory or motor modalities
during learning, referred to as multimodal enrichment, can markedly benefit learning …

Cognitive Neuroscience of Language provides an up-to-date, wide-ranging, and
pedagogically practical survey of the most important developments in this exciting field. It …

Speech produced by different people varies acoustically because of individual differences in
vocal tract physiology. This acoustic variation in the “same” words of language presents a …

Vocalizations play an important role in the daily life of primates and likely form the basis of
human language. Functional imaging studies have demonstrated that listening to voices …

Here we investigate the crucial role of trials in task-based neuroimaging from the
perspectives of statistical efficiency and condition-level generalizability. Big data initiatives …

Humans have a remarkable skill for voice-identity recognition: most of us can remember
many voices that surround us as 'unique'. In this review, we explore the computational and …