Claus Christian Hilgetag

Human cortical networks trade communication efficiency for computational reliability.

The paper presents a game-theoretic model showing human cortical networks prioritize computational reliability over communication efficiency and wiring cost.

Controlling Reciprocity in Binary and Weighted Networks: A Novel Density-Conserving Approach

This paper introduces Network Reciprocity Control algorithms to adjust asymmetry and reciprocity in networks while preserving density and weight, demonstrating their impact on network properties and scalability.

Short Excitatory Projections Promote Burst Activity and Modular Functional Organization in Neural Networks

This study shows that short excitatory projections in neural networks increase neural correlations, promote bursting activity, and enable modular functional organization.

A Computational Perspective on the No-Strong-Loops Principle in Brain Networks

The paper shows that connectivity asymmetry in brain networks supports higher working-memory capacity, while increased reciprocity reduces it, using computational models of recurrent neural networks.

A General Framework for Characterizing Optimal Communication in Brain Networks

This study introduces a framework using game theory to characterize optimal communication in brain networks, finding that broadcasting models best describe communication efficiency, with rich-club regions playing a key role.

Multi-Scale Spiking Network Model of Human Cerebral Cortex

The paper develops a multi-scale spiking network model of human cortex to explore structure-dynamics relationships using multimodal data and validates it against electrophysiological and fMRI data.

A functional network model for body column neural connectivity in Hydra

The paper constructs a model connectome for Hydra's N3 nerve net and shows it can generate both short-lived and persistent activity patterns related to behavior.

Binary Brains: How Excitable Dynamics Simplify Neural Connectomes

The paper shows that excitable dynamics in neural networks produce similar activity patterns in weighted and binarized networks when an appropriate threshold is used.

Ultrastructural sublaminar-specific diversity of excitatory synaptic boutons in layer 1 of the adult human temporal lobe neocortex

The paper quantifies synaptic bouton structure in human neocortex layer 1 using electron microscopy, revealing key features of excitatory synapses and their potential functional roles.

Estimating effective connectivity in neural networks: comparison of derivative-based and correlation-based methods

The paper compares methods for estimating effective connectivity in neural networks, finding that lagged-cross-correlation performs best in sparse networks with delays and noise.

Ground-truth validation of uni- and multivariate lesion inference approaches

This study compares univariate and multivariate lesion inference methods using patient data, finding multivariate approaches more accurate and less prone to mis-inference.

The effect of deep brain stimulation on cortico-subcortical networks in Parkinson's disease patients with freezing of gait: Exhaustive exploration of a basic model

This paper uses a computational framework to explore how combined deep brain stimulation of the STN and SNr affects cortico-subcortical networks in Parkinson's disease patients with freezing of gait.

When Neural Activity Fails to Reveal Causal Contributions

The paper demonstrates that neural activity patterns may not reliably indicate causal contributions of neural units to behavior and introduces a lesioning framework to better infer causal relationships.

Structural basis of envelope and phase intrinsic coupling modes of the cerebral cortex

The paper investigates the relationship between intrinsic coupling modes (ICMs) in brain activity and structural connectivity in the ferret brain, showing strong correlations except when zero-lag synchronizations are removed.

Brain Connectivity meets Reservoir Computing

This study explores how real brain connectivity patterns can inform artificial neural network architectures, finding that biologically inspired networks perform as well as classical ones with sufficient randomness and diversity in connections.

Systematic Perturbation of an Artificial Neural Network: A Step Towards Quantifying Causal Contributions in The Brain

The paper systematically lesions an artificial neural network to assess causal contributions of its elements, finding that single-element perturbations are biased while multi-site lesions reveal more accurate functional interactions.

A causal role of the human left temporoparietal junction in computing social influence during goal-directed learning

This study uses brain stimulation and computational modeling to show that left TPJ causally influences how individuals adjust their choices based on others' dissenting opinions during learning.

Single Image-based Vignetting Correction for Improving the Consistency of Neural Activity Analysis in 2-Photon Functional Microscopy

The paper introduces a vignetting correction protocol for 2-photon microscopy images to improve consistency in neural activity analysis.

An architectonic type principle in the development of laminar patterns of cortico-cortical connections

The paper shows that laminar patterns of cortico-cortical projections in the immature macaque cortex follow an architectonic type principle, correlating with cortical differentiation and remaining stable despite visual input loss.

Bio-instantiated recurrent neural networks

This paper explores bio-instantiated recurrent neural networks, examining their performance in working memory tasks and demonstrating how empirical neural network data can be used to construct biologically realistic topologies.

The natural axis of transmitter receptor distribution in the human cerebral cortex

The paper identifies a natural axis of transmitter receptor distribution in the human cerebral cortex that reflects laminar differentiation and functional organization.

cFos ensembles in the dentate gyrus rapidly segregate over time and do not form a stable map of space

The paper shows that cFos expression in the dentate gyrus changes daily and does not stabilize with spatial memory, yet neurons from early training days still influence later performance.

Multimodal memory components and their long-term dynamics identified in cortical layers II/III but not layer Vb

The paper identifies distinct long-term dynamics of multimodal memory components in cortical layers II/III and Vb using in vivo 2-photon imaging of mouse brain activity.

Spatiotemporal ontogeny of brain wiring

This study models the development of brain connectomes to show that spatial and temporal gradients can explain wiring principles and global network topology without requiring axonal guidance or activity-dependent plasticity.

Discrimination of the hierarchical structure of cortical layers in 2-photon microscopy data by combined unsupervised and supervised machine learning

This paper develops a combined unsupervised and supervised machine learning approach to automatically classify cortical layers in 2-photon microscopy data without manual labeling.

Neuron density fundamentally relates to architecture and connectivity of the primate cerebral cortex

The paper investigates how neuron density relates to structural connectivity and architectonic features in the primate cerebral cortex, finding neuron density to be the strongest predictor of connectivity patterns.

Cortical and thalamic connectivity of posterior parietal visual cortical areas PPc and PPr of the domestic ferret (Mustela putorius furo).

This study maps the connectivity of ferret posterior parietal visual areas PPc and PPr, showing functional specialization and homology with cat areas, and highlights the ferret as a model for studying cortical connectivity evolution.

Cortical and thalamic connectivity of occipital visual cortical areas 17, 18, 19 and 21 of the domestic ferret (Mustela putorius furo).

The paper maps connectivity patterns of occipital visual areas in ferrets, showing stronger ipsilateral connections and identifying a new hub for dorsal stream processing.

Cortical and thalamic connectivity of temporal visual cortical areas 20a and 20b of the domestic ferret (Mustela putorius furo).

This study maps the connectivity of temporal visual areas 20a and 20b in ferrets, revealing similarities to primate connectivity patterns and contributing to the Ferretome database.

Topological Reinforcement as a Principle of Modularity Emergence in Brain Networks

This paper introduces a topological reinforcement model that evolves synthetic networks toward modularity, suggesting it may underlie modular structure in brain networks.