Matthias Fritsche

This study shows dopamine in the dorsal striatum encodes both sensory and reward prediction errors during perceptual decisions, with distinct but overlapping signals.

The paper identifies distinct spatial and projection-based encoding of economic variables in the frontal cortex of mice during decision-making tasks.

This study shows that dopamine signals in the striatum reflect long-term learning strategies in mice, with a deep neural network model capturing these dynamics through reinforcement learning.

The paper shows mice adapt perceptual choice history biases to different temporal regularities, supported by a reinforcement learning model and striatal dopamine signals.

The paper shows that mouse visual cortex neurons maintain long-term traces of past stimuli, leading to stimulus-specific adaptation over dozens of seconds, while thalamic neurons only show short-term adaptation.

This study investigates whether autistic individuals show differences in adaptation and serial choice bias compared to typically developing controls, finding no significant differences.

The paper investigates how choice and stimulus history influence perceptual decisions, finding that confidence and evidence strength drive opposing biases in choice repetition and adaptation.

The paper identifies a computational model that explains both attractive and repulsive history biases in visual perception by incorporating efficient encoding and Bayesian decoding.

This study investigates how repetition suppression (RS) decays over time in the visual cortex by measuring BOLD responses to repeated and non-repeated images with varying inter-stimulus intervals, finding that RS decay rates are similar across early and late visual areas.

The paper investigates how feature-based attention modulates serial dependence in orientation estimation, finding distinct effects for similar and dissimilar orientations.

The paper investigates whether reference repulsion in orientation judgments reflects a perceptual illusion or post-perceptual decision bias, finding that the bias can be explained by sensory fluctuations and adaptation.

This study investigates predictive remapping of visual features before saccades, finding remapping of stimuli but not adaptation, and showing remapping occurs for non-target stimuli.

The paper uses CNNs to model visual object recognition in MEG data, showing a feedforward sweep across the visual hierarchy and achieving high decoding accuracy.