Marianne Fyhn

This paper introduces a new system for activating and recording thousands of neurons over a large field-of-view with pixel-level precision.

The paper develops a method for large-scale volumetric calcium imaging in marmoset brains, revealing fine-grain tuning properties and columnar organization in auditory and visual cortices.

The paper identifies a transcriptional continuum in parvalbumin interneurons based on perineuronal net status, linking it to fast-spiking specialization and plasticity.

The paper tests whether mismatch responses in visual cortex are due to spatial or temporal predictive coding by manipulating visual stimuli in mice.

This study shows how weak neural sequences can overcome competition by increasing connectivity or cooperating with other sequences, affecting their speed and reactivation.

This paper investigates grid cells as a conformal isometric map of space, showing that a module of at least seven grid cells can achieve a distance-preserving representation with regular hexagonal phase patterns.

This study shows that MEC and POR encode task- and behavior-related variables during non-spatial learning, with MEC showing stronger within-cluster correlations and anatomical organization.

The paper shows that reactivations in the lateral visual cortex are essential for visual association learning consolidation, with inhibitory neuron manipulation reducing cue-specific reactivations and learning.

This paper investigates the role of Aggrecan in PV+ interneurons by creating a conditional knockout model and finds that its absence does not affect electrophysiological properties but alters behavioral strategies and anxiety levels.

The paper demonstrates how causal inference methods like instrumental variables and difference in differences can reduce confounding in optogenetic experiments to estimate effective neural connectivity.

The paper develops and tests new viral vectors for systemic and local delivery of GECIs to enable brain-wide calcium imaging without transgenic mouse lines.

The paper shows that toroidal cells, not grid cells, are crucial for path integration in virtual agents using RNN models.

This study investigates the functional effects of two CACNA1C mutations in zebrafish, showing altered mRNA levels, neurotransmitter profiles, and behavioral and electrophysiological changes linked to psychiatric disorders.

This study shows that perineuronal nets stabilize grid cell networks by maintaining inhibitory activity and spatial representations in adult rats.

The paper presents an open-source system for behavioral tracking, electrophysiology, and closed-loop stimulation using Open Ephys and Bonsai.

The paper uses a firing-rate model to analyze how cortical feedback affects visual responses in dLGN relay cells, identifying a specific configuration of excitatory and inhibitory feedback that best matches experimental data.

The paper introduces Exdir, an open standard for organizing data storage in experimental pipelines as an alternative to HDF5, improving data sharing and reproducibility.