nature with all of its discrepancies from the ideal image without feeling real concern. It would convey the wrong impression to say that they are self-satisfied. What we must rather say is that they can take the frailties and sins, weaknesses and evils of human nature in the same unquestioning spirit

568 nature neuroscience • volume 2 no 6 • june 1999 articles Evidence for specialization in the fusiform gyrus for human face perception comes from both neuroimaging and neuropsychological studies Subjects were trained with novel objects called greebles 14 RESULTS We localized the brain areas

, we analyzed fMRI data from two other experiments using the same GCA and network analyses methods described above: (i) a visual ''oddball'' attention experiment, and (ii) a task-free resting state experiment (see also SI Materials and Methods). We found a pattern of significant

Investigations of working memory (WM) systems in the frontal cortex have revealed two stimulus dimensions along which frontal cortical representations may be functionally organized. One hypothesized dimension dissociates verbal from nonverbal WM processes, dividing left from right frontal regions

Abstract — We apply a blind source separation approach to the identification of statistically independent spatial patterns of brain activation to auditory stimulation. Stimuli consisted of spoken text. The data was collected via functional magnetic resonance imaging (fMRI). As expected from

in the anterior and posterior perisylvian language areas, the nature and brain encoding of phonological subprocesses remain ambiguous. The present study used functional magnetic resonance imaging (fMRI) to investigate the conditions under which anterior (lateral frontal) areas are activated during speech

with presentation of various stimuli. The current analysis approaches functional imaging data as collective information about the stimulus. Linking activity in the brain to a stimulus is treated as a pattern-classification problem. Linear discriminant analysis was used to reanalyze a set of data originally

This article describes the use of Bayes factors for comparing Dynamic Causal Models (DCMs). DCMs are used to make inferences about effective connectivity from functional Magnetic Resonance Imaging (fMRI) data. These inferences, however, are contingent upon assumptions about model structure, that is

matching the performance of earlier VC vintages. Whatever the reason, to capture the pronounced time pattern evident in C. Company-level Performance Measures Data limitations prevent us from computing company-level rates of return: The Venture Economics database does not include details on the fraction

Empirical results from both reading and speech perception indicate that stimulus and context information have independent intluences on perceptual recognition. Massaro (1989) argued that these data are inconsistent with an interactive activation and competition (IAC) model (McClelland &