Matthias Kaschube

Millimeter-scale selective amplification in the developing visual cortex

The paper shows that cortical networks preferentially amplify inputs aligned with endogenous recurrent subnetworks, enhancing response reliability and spatiotemporal stability.

Representational drift reflects ongoing balancing of stochastic changes by Hebbian learning

The paper investigates how Hebbian-like plasticity and stochastic synaptic changes contribute to representational drift in mouse auditory cortex neurons.

Principles of cortical interactions in modular recurrent networks

The paper shows that cortical networks in ferret primary visual cortex switch between amplifying and suppressing sensory inputs based on contrast, using cellular perturbations and models.

Homeostasis of a representational map in the neocortex

The paper shows that the structure of a representational map in the auditory cortex is temporarily disrupted by neuron loss but recovers through plasticity of previously unresponsive neurons.

Developmental maturation of millimeter-scale functional networks across brain areas

This study examines the developmental changes in modular functional networks across different cortical areas in ferrets, finding conserved patterns of network organization that persist into maturity.

Fast and long-term super-resolution imaging of ER nano-structural dynamics in living cells using a neural network

This paper enables long-term super-resolution imaging of ER dynamics in living cells using low irradiation and neural network-based image restoration.

Self-organization of modular activity in immature cortical networks

The paper investigates how immature cortical networks self-organize into modular activity patterns through local synaptic interactions, showing that input drive and network structure dynamically shape activity organization.

Coherent cortical representations develop after experience via feedforward-recurrent circuit alignment

The paper shows that feedforward-recurrent circuit alignment in the visual cortex develops after experience, leading to coherent sensory representations.

Few temporally distributed brain connectivity states predict human cognitive abilities

The paper shows that 16 time frames of high brain connectivity can predict intelligence, but network-defining states do not, and results replicate in an independent sample.

Fully automated detection of dendritic spines in 3D live cell imaging data using deep convolutional neural networks

This paper develops a deep learning pipeline for automated dendritic spine detection in 3D live cell imaging data, achieving near-human performance without retraining.

The nature-nurture transform underlying the emergence of reliable cortical representations

The paper shows that experience-driven reorganization of endogenous networks leads to the emergence of reliable cortical representations.

Tightly-coupled inhibitory and excitatory functional networks in the early visual cortex

The paper shows that inhibitory networks in the early ferret visual cortex are highly organized and co-aligned with excitatory networks before visual experience.

Long-range order from local interactions: organization and development of distributed corticalnetworks

The paper shows that local cortical connections generate large-scale modular correlations and fractures in spontaneous activity, predicting mature orientation column structure.