Lina Teichmann

Dynamic representation of multidimensional object properties in the human brain

The paper investigates how multidimensional object properties are represented in the human brain over time using MEG signals and behavioral data.

Domain general frontoparietal regions show modality-dependent coding of auditory and visual rules

The paper investigates how frontoparietal brain regions encode visual and auditory rules, finding that they use modality-specific codes rather than generalizable representations.

THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in human brain and behavior

THINGS-data provides multimodal neuroimaging and behavioral datasets for studying object representations, enabling hypothesis testing and cross-modal analysis.

An empirically-driven guide on using Bayes Factors for M/EEG decoding

This paper provides a guide on using Bayes Factors for M/EEG decoding results, examining their impact on statistical assessment of neural data.

The influence of object-colour knowledge on emerging object representations in the brain

This study examines how object-colour knowledge influences brain activity patterns during object recognition, showing that conceptual knowledge affects representations after initial feature processing.

Seeing versus Knowing: The Temporal Dynamics of Real and Implied Colour Processing in the Human Brain

This study compares the neural activation patterns for real and implied colour perception using MEG and MVPA, finding that implied colour activation occurs later than real colour perception.

Decoding digits and dice with Magnetoencephalography: Evidence for a shared representation of magnitude

The paper uses MEG and MVPA to show that magnitude is represented similarly across different numerical formats like digits and dice, with temporal differences in access.