Magnetoencephalographic Signals Identify Stages in Real-Life Decision Processes

Magnetoencephalographic Signals Identify Stages in Real-Life Decision Processes

We used magnetoencephalography (MEG) to study the dynamics of neural responses in eight subjects engaged in shopping for day-to-day items from supermarket shelves. This behavior not only has personal and economic importance but also provides an example of an experience that is both personal and shared between individuals. The shopping experience enables the exploration of neural mechanisms unde...

Real Life Decision Optimization Model

In real life scientific and engineering problems decision making is common practice. Decision making include single decision maker or group of decision makers. Decision maker’s expressions consists imprecise, inconsistent and indeterminate information. Also, the decision maker cannot select the best solution in unidirectional (single goal) way. Therefore, proposed model adopts decision makers’ ...

Independent component analysis of magnetoencephalographic signals

Decision structuring in important real-life choices.

Results from five studies of real-life decision making are compared. In these studies, participants consistently constrained the amount of information they considered to relatively few options and to a somewhat larger set of criteria. Over time, the number of options considered shrank, but the number of criteria used did not. People's intuitive "calibration" with the predictions of normative li...

Corrigendum: Real-Time Control of a Neuroprosthetic Hand by Magnetoencephalographic Signals from Paralysed Patients

Neuroprosthetic arms might potentially restore motor functions for severely paralysed patients. Invasive measurements of cortical currents using electrocorticography have been widely used for neuroprosthetic control. Moreover, magnetoencephalography (MEG) exhibits characteristic brain signals similar to those of invasively measured signals. However, it remains unclear whether non-invasively mea...