Matthias Kaschube
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View article: SynapFlow: A Modular Framework Towards Large-Scale Analysis of Dendritic Spines
SynapFlow: A Modular Framework Towards Large-Scale Analysis of Dendritic Spines Open
Dendritic spines are key structural components of excitatory synapses in the brain. Given the size of dendritic spines provides a proxy for synaptic efficacy, their detection and tracking across time is important for studies of the neural …
View article: Development of coherent cortical responses reflects increased discriminability of feedforward inputs and their alignment with recurrent circuits
Development of coherent cortical responses reflects increased discriminability of feedforward inputs and their alignment with recurrent circuits Open
Sensory cortical areas guide behavior by transforming stimulus-driven inputs into reliable activity patterns. In the visual cortex, layer 4 (L4) neurons activated by the same edge orientation provide feedforward input to layers 2/3 (L2/3) …
View article: Statistical learning and representational drift: A dynamic substrate for memories
Statistical learning and representational drift: A dynamic substrate for memories Open
In many brain areas, neurons exhibit continuous changes in their tuning properties over days, even when supporting stable percepts and behaviors-a phenomenon termed representational drift. How do neuronal circuits maintain stable function …
View article: Homeostasis of a representational map in the neocortex
Homeostasis of a representational map in the neocortex Open
View article: Towards circuit mechanisms of the creative process: Describing the functions, mechanisms and neural correlates of creativity
Towards circuit mechanisms of the creative process: Describing the functions, mechanisms and neural correlates of creativity Open
Creativity is one of the most intriguing aspects of cognition, captivating cross-disciplinary investigation due to its multifaceted nature and profound implications. While significant progress has been made in identifying the cognitive cor…
View article: A reduced perception of sensory information is linked with elevated boredom in people with and without attention-deficit hyperactivity disorder
A reduced perception of sensory information is linked with elevated boredom in people with and without attention-deficit hyperactivity disorder Open
View article: Perceptual and semantic maps in individual humans share structural features that predict creative abilities
Perceptual and semantic maps in individual humans share structural features that predict creative abilities Open
View article: Developmental maturation of millimeter-scale functional networks across brain areas
Developmental maturation of millimeter-scale functional networks across brain areas Open
Processing sensory information, generating perceptions, and shaping behavior engages neural networks in brain areas with highly varied representations, ranging from unimodal sensory cortices to higher-order association areas. In early deve…
View article: Representational drift reflects ongoing balancing of stochastic changes by Hebbian learning
Representational drift reflects ongoing balancing of stochastic changes by Hebbian learning Open
Recent evidence indicates that even under stable environmental and behavioural conditions responses to sensory stimuli undergo continuous reformatting over the course of days, a condition described as representational drift. However, the p…
View article: Fast and Long‐Term Super‐Resolution Imaging of Endoplasmic Reticulum Nano‐structural Dynamics in Living Cells Using a Neural Network
Fast and Long‐Term Super‐Resolution Imaging of Endoplasmic Reticulum Nano‐structural Dynamics in Living Cells Using a Neural Network Open
Stimulated emission depletion (STED) microscopy is a super‐resolution technique that surpasses the diffraction limit and has contributed to the study of dynamic processes in living cells. However, high laser intensities induce fluorophore …
View article: Linking in Style: Understanding learned features in deep learning models
Linking in Style: Understanding learned features in deep learning models Open
Convolutional neural networks (CNNs) learn abstract features to perform object classification, but understanding these features remains challenging due to difficult-to-interpret results or high computational costs. We propose an automatic …
View article: Denoising diffusion models for high-resolution microscopy image restoration
Denoising diffusion models for high-resolution microscopy image restoration Open
Advances in microscopy imaging enable researchers to visualize structures at the nanoscale level thereby unraveling intricate details of biological organization. However, challenges such as image noise, photobleaching of fluorophores, and …
View article: Fast<i>and</i>long-term super-resolution imaging of ER nano-structural dynamics in living cells using a neural network
Fast<i>and</i>long-term super-resolution imaging of ER nano-structural dynamics in living cells using a neural network Open
Stimulated emission depletion (STED) microscopy is a super-resolution technique that surpasses the diffraction limit and has contributed to the study of dynamic processes in living cells. However, high laser intensities induce fluorophore …
View article: Developmental maturation of millimeter-scale functional networks across brain areas
Developmental maturation of millimeter-scale functional networks across brain areas Open
Interacting with the environment to process sensory information, generate perceptions, and shape behavior engages neural networks in brain areas with highly varied representations, ranging from unimodal sensory cortices to higher-order ass…
View article: Self-organization of modular activity in immature cortical networks
Self-organization of modular activity in immature cortical networks Open
During development, cortical activity is organized into distributed modular patterns that are a precursor of the mature columnar functional architecture. Theoretically, such structured neural activity can emerge dynamically from local syna…
View article: Common modular architecture across diverse cortical areas in early development
Common modular architecture across diverse cortical areas in early development Open
In order to deal with a complex environment, animals form a diverse range of neural representations that vary across cortical areas, ranging from largely unimodal sensory input to higher-order representations of goals, outcomes, and motiva…
View article: Self-organization of modular activity in immature cortical networks
Self-organization of modular activity in immature cortical networks Open
During development, cortical activity is organized into distributed modular patterns that are a precursor of the mature columnar functional architecture. Theoretically, such structured neural activity can emerge dynamically from local syna…
View article: Utilizing 2D-region-based CNNs for automatic dendritic spine detection in 3D live cell imaging
Utilizing 2D-region-based CNNs for automatic dendritic spine detection in 3D live cell imaging Open
Dendritic spines are considered a morphological proxy for excitatory synapses, rendering them a target of many different lines of research. Over recent years, it has become possible to simultaneously image large numbers of dendritic spines…
View article: Visual experience drives the development of novel and reliable visual representations from endogenously structured networks
Visual experience drives the development of novel and reliable visual representations from endogenously structured networks Open
Cortical circuits embody remarkably reliable neural representations of sensory stimuli that are critical for perception and action. The fundamental structure of these network representations is thought to arise early in development prior t…
View article: Few temporally distributed brain connectivity states predict human cognitive abilities
Few temporally distributed brain connectivity states predict human cognitive abilities Open
View article: Homeostasis of a representational map in the neocortex
Homeostasis of a representational map in the neocortex Open
Summary Cortical function in general and the processing of sensory stimuli in particular are remarkably robust against the continuous loss of neurons during aging, and even the accelerated loss during prodromal stages of neurodegeneration …
View article: Fully automated detection of dendritic spines in 3D live cell imaging data using deep convolutional neural networks
Fully automated detection of dendritic spines in 3D live cell imaging data using deep convolutional neural networks Open
Dendritic spines are considered a morphological proxy for excitatory synapses, rendering them a target of many different lines of research. Over recent years, it has become possible to image simultaneously large numbers of dendritic spines…
View article: Spontaneous activity randomly samples its activity space
Spontaneous activity randomly samples its activity space Open
View article: Few temporally distributed brain connectivity states predict human cognitive abilities
Few temporally distributed brain connectivity states predict human cognitive abilities Open
Human functional brain connectivity can be temporally decomposed into states of high and low cofluctuation, defined as coactivation of brain regions over time. Rare states of particularly high cofluctuation have been shown to reflect funda…
View article: A stable sensory map emerges from a dynamic equilibrium of neurons with unstable tuning properties
A stable sensory map emerges from a dynamic equilibrium of neurons with unstable tuning properties Open
Recent long-term measurements of neuronal activity have revealed that, despite stability in large-scale topographic maps, the tuning properties of individual cortical neurons can undergo substantial reformatting over days. To shed light on…
View article: The nature-nurture transform underlying the emergence of reliable cortical representations
The nature-nurture transform underlying the emergence of reliable cortical representations Open
The fundamental structure of cortical networks arises early in development prior to the onset of sensory experience. However, how endogenously generated networks respond to the onset of sensory experience, and how they form mature sensory …
View article: Learning-induced biases in the ongoing dynamics of sensory representations predict stimulus generalization
Learning-induced biases in the ongoing dynamics of sensory representations predict stimulus generalization Open
View article: Tightly coupled inhibitory and excitatory functional networks in the developing primary visual cortex
Tightly coupled inhibitory and excitatory functional networks in the developing primary visual cortex Open
Intracortical inhibition plays a critical role in shaping activity patterns in the mature cortex. However, little is known about the structure of inhibition in early development prior to the onset of sensory experience, a time when spontan…
View article: Author response: Tightly coupled inhibitory and excitatory functional networks in the developing primary visual cortex
Author response: Tightly coupled inhibitory and excitatory functional networks in the developing primary visual cortex Open
Article Figures and data Abstract Introduction Results Discussion Materials and methods Data availability References Decision letter Author response Article and author information Metrics Abstract Intracortical inhibition plays a critical …
View article: Tightly-coupled inhibitory and excitatory functional networks in the early visual cortex
Tightly-coupled inhibitory and excitatory functional networks in the early visual cortex Open
Intracortical inhibition plays a critical role in shaping activity patterns in the mature cortex. However, little is known about the structure of inhibition in early development prior to the onset of sensory experience, a time when spontan…