Torkel Hafting

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

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.

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.