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Manfred Spitzer

Researcher at University of Ulm

Publications -  272
Citations -  11137

Manfred Spitzer is an academic researcher from University of Ulm. The author has contributed to research in topics: Cognition & Working memory. The author has an hindex of 58, co-authored 259 publications receiving 10423 citations. Previous affiliations of Manfred Spitzer include Daimler AG & Harvard University.

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Brain activation during human navigation: gender-different neural networks as substrate of performance

TL;DR: Functional MRI was used to observe brain activation in male and female subjects as they searched for the way out of a complex, three-dimensional, virtual-reality maze to demonstrate a neural substrate of well established human gender differences in spatial-cognition performance.
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The neural signature of social norm compliance.

TL;DR: Different activations of the neural circuitry behind social norm compliance reveal individual differences in the behavioral response to the punishment threat and might provide a deeper understanding of the neurobiological sources of pathologies such as antisocial personality disorder.
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Prediction error as a linear function of reward probability is coded in human nucleus accumbens.

TL;DR: In this article, the authors used functional magnetic resonance imaging (fMRI) to show that the human dopamine system codes reward probability and prediction error in a similar way, using a simple delayed incentive task with a discrete range of reward probabilities from 0-100%.
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Cultural objects modulate reward circuitry

TL;DR: FMRI results reveal significantly more activation in ventral striatum, orbitofrontal cortex, anterior cingulate and occipital regions for sports cars in contrast to other categories of cars, demonstrating that artificial cultural objects associated with wealth and social dominance elicit activation in reward-related brain areas.
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Associative Semantic Network Dysfunction in Thought-Disordered Schizophrenic Patients: Direct Evidence from Indirect Semantic Priming

TL;DR: Data suggest that semantic associative memory operates at a comparatively lower signal-to-noise ratio in thought-disordered schizophrenic patients, and indirect semantic priming at short prime-target intervals appears to be the best indicator of associative network dysfunction.