Sepp Kollmorgen

Multiscale brain-wide mapping of α-synuclein-driven dopaminergic degeneration and white matter impairment in α-synucleinopathy mice

This paper maps α-synuclein pathology and dopaminergic degeneration in mice using multimodal imaging and microscopy, showing spread along the nigrostriatal pathway and microstructural changes.

Long-Term Imprint of Prenatal War Trauma on Brain Structure: Evidence from Genetically Informed Neuroimaging

This study examines the long-term effects of prenatal exposure to WWII air raids on adult brain structure, cognition, and health using a large dataset and genetic analysis.

Atlas-independent brain connectome analysis at voxel-level granularity: graph convolutional networks for etiology classification in newborns

This paper uses graph convolutional networks to classify neonatal brain connectomes by etiology at voxel-level granularity, achieving higher classification performance than atlas-based methods and a multilayer perceptron baseline.

Prospective and retrospective representations of saccadic movements in primate prefrontal cortex

This study examines neural activity in primate dlPFC during saccadic movements, finding that retrospective representations of recent saccades are reliable, while prospective planning-like activity is limited to reward-eligible saccades.

Shared and unique consequences of Joubert Syndrome gene dysfunction on the zebrafish central nervous system

The paper investigates the effects of Joubert Syndrome gene dysfunction in zebrafish, finding altered brain cilia, changes in neuron-related gene expression, and abnormal swimming behavior despite normal brain structure.

Operative dimensions in unconstrained connectivity of recurrent neural networks

This paper identifies low-dimensional 'operative dimensions' in RNNs that significantly influence dynamics, showing that much of the high-dimensional connectivity is functionally irrelevant.

Unsigned temporal difference errors in cortical L5 dendrites during learning

The paper shows that dendritic responses in L5 pyramidal neurons during learning correspond to unsigned temporal difference error components, with salience signals aiding task learning.

Deep-learning based identification, tracking, pose estimation, and behavior classification of interacting primates and mice in complex environments

This paper introduces a deep learning pipeline for tracking and classifying behaviors of interacting primates and mice in complex environments using video data.

Neighborhood-statistics reveal complex dynamics of song acquisition in the zebra finch

The paper introduces a nearest-neighbor method to analyze song development in zebra finches, revealing complex temporal dynamics in vocal learning and development.

Spatial and temporal structure of choice representations in primate prefrontal cortex

The paper examines how choice representations are structured in primate prefrontal cortex, finding that diverse neural responses reflect persistent population patterns rather than transient dynamics.