Basal ganglia contribute to a variety of cognitive and motor functions which are formed through trialand- error learning. With cortex and thalamus, they build an architecture of parallel but interacting loops. Based on our empirical findings, we will then extend the computational model to fully capture basal ganglia connectivity both within and between loops. Towards a clinical perspective, we will afterwards systematically apply lesions and functional alterations to this model and study their effects on overt model behavior in a set of cognitive and motor tasks. At the same time, we will apply these same tasks to patients of basal ganglia disorders that are yet poorly understood with regard to their neuronal causes e.
In their study, the scientists identified networks in the human brain that were particularly active during different tasks. They then trained machine learning software to assign this activity to particular personality berliner zeitung er sucht sie.
Functional magnetic resonance imaging fMRI makes changes in the oxygen saturation in brain blood vessels visible within seconds. Scientists use fMRI scans to investigate what brain regions are activated while trying to solve brain teasers or following instructions. More precisely, the brain researchers developed a computer program that they trained to use the fMRI data to deduce how a test subject would likely perform in a commonly used personality test.
In this way, psychologists record five traits that reflect the personality of a human. These "big five" are: Several steps were necessary until the computer was highly likely to make correct predictions: He and his team identified a total of nine different functional networks in the brain.
One of these networks is active, for example, when test subjects have to recognize faces; a different one is active when people have to remember something in the short term. Unterstützer von Speed Dating im Harz the second step, the researchers used the anonymous data on roughly test subjects who had undergone both a brain scan and a personality test.
The scientists analysed fMRI images singlebörse murtal while the test subjects let their thoughts run free. The researchers recorded the activity patterns only in those functional networks of the brain that they had previously identified as reliable through the meta-analysis of hundreds of scans. Reviewing the literature therefore provided the scientists with the berliner zeitung er sucht sie of the organization of the brain that they needed for their assessment.
The researchers trained machine learning software to use the activity patterns of these test subjects to provide an indication of the results of personality tests. During the process, the scientists constantly gave the software feedback as to how correct its results were. The machine learning software then adapted its mathematical model. This revealed that the activity of individual, specific networks is directly linked with how pronounced certain personality traits are.
Interestingly, other berliner zeitung er sucht sie can be used to predict further personality traits — when the data on men and women are separated and inputted into the machine learning software separately in order to train it. This is why it is especially important to discuss the opportunities and limitations of such technologies in a transparent manner.
Using their methodology, the scientists had identified specific functional networks that are impaired by the respective berliner zeitung er sucht sie. These results were berliner zeitung er sucht sie in the journal Human Brain Mapping.
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