Erratum: Measuring the brain's assumptions

Measuring sound absorption using local field assumptions

This paper describes a novel three-dimensional sound intensity probe consisting of 8 MEMS (micro-electromechanical systems) microphones and a novel free-field calibration method. The use of MEMS-microphones allows for a very compact design compared to probes that employ 1/2-inch condenser microphones. A novel free-field calibration method, based on the principle of microphone interchange, is de...

Measuring consciousness in severely damaged brains.

Significant advances have been made in the behavioral assessment and clinical management of disorders of consciousness (DOC). In addition, functional neuroimaging paradigms are now available to help assess consciousness levels in this challenging patient population. The success of these neuroimaging approaches as diagnostic markers is, however, intrinsically linked to understanding the relation...

Erratum

Measuring Productivity Change without Neoclassical Assumptions: A Conceptual Analysis

The measurement of productivity change (or difference) is usually based on models that make use of strong assumptions such as competitive behaviour and constant returns to scale. This survey discusses the basics of productivity measurement and shows that one can dispense with most if not all the usual, neoclassical assumptions. By virtue of its structural features, the measurement model is appl...

Hallucinating Brains with Artificial Brains

Human brain function as measured by functional magnetic resonance imaging (fMRI), exhibits a rich diversity. In response, understanding the individual variability of brain function and its association with behavior has become one of the major concerns in modern cognitive neuroscience. Our work is motivated by the view that generative models provide a useful tool for understanding this variabili...