Bernhard Spitzer

Abstract and Concrete Working Memory Information in Human Visual Cortex

The paper investigates how visuospatial working memory representations are organized in the human brain, finding both abstract and concrete visual representations coexisting in visual areas.

Long-Term Effects of Working Memory Retrieval From Prioritized and Deprioritized States

The paper investigates how retrieving information from prioritized or deprioritized working memory states affects long-term memory recall, finding a stronger benefit for deprioritized information.

Asymmetric learning and adaptability to changes in relational structure during transitive inference

The paper investigates how asymmetric learning biases affect transitive inference and adaptability to changes in relational structures, finding that winner-biased learning improves flexibility in certain hierarchy changes.

EEG-representational geometries and psychometric distortions in approximate numerical judgment

The paper investigates whether neural representational geometries reflect behavioral underweighting of extreme values in numerical judgment tasks, finding enhanced processing of extremes but no evidence for neural compression.

Geometry of visual working memory information in human gaze patterns

This study shows that small gaze shifts encode visual working memory information, including multiple orientations, and reveal changes in representational format during unattended memory storage.

Prioritization of semantic over visuo-perceptual aspects in multi-item working memory

The paper shows that semantic qualities are prioritized over visuo-perceptual aspects in multi-item working memory, similar to episodic memory retrieval.

Control over sampling boosts numerical evidence processing in human decisions from experience

The paper shows that having control over when to stop sampling improves decision accuracy, parietal decision signals, and EEG encoding of numerical information in human decisions from experience.

Asymmetric learning facilitates human inference of transitive relations

The paper shows that asymmetric learning, where beliefs about winners or losers are updated selectively, improves transitive inference in humans and aligns with cognitive distortions observed in psychophysics and behavioral economics.

Concurrent visual working memory biasin sequential integration of approximate number

The paper investigates how visual working memory (WM) interacts with perception during sequential integration of approximate number, finding that WM biases perception but is rapidly deprioritized.

Selective integration during sequential sampling in posterior neural signals

The paper tests a selective integration model of decision-making using EEG, finding that neural signals encode locally preferred attributes with higher gain.

Impaired Desynchronization of Beta Activity Underlies Memory Deficits in People with Parkinson’s Disease

This study shows that reduced beta desynchronization in Parkinson’s disease is linked to impaired memory formation.

Neural structure mapping in human probabilistic reward learning

The paper shows that human neural representations of novel visual stimuli align with magnitude-based mental number line representations during reward-guided learning.