Brain network communication: concepts, models and applications

C Seguin, O Sporns, A Zalesky - Nature reviews neuroscience, 2023 - nature.com
Understanding communication and information processing in nervous systems is a central
goal of neuroscience. Over the past two decades, advances in connectomics and network …

Neural heterogeneity controls computations in spiking neural networks

R Gast, SA Solla, A Kennedy - Proceedings of the National …, 2024 - National Acad Sciences
The brain is composed of complex networks of interacting neurons that express
considerable heterogeneity in their physiology and spiking characteristics. How does this …

Ephaptic coupling in white matter fibre bundles modulates axonal transmission delays

H Schmidt, G Hahn, G Deco… - PLOS Computational …, 2021 - journals.plos.org
Axonal connections are widely regarded as faithful transmitters of neuronal signals with
fixed delays. The reasoning behind this is that extracellular potentials caused by spikes …

From phase advance to phase delay: Flexible coordination between neuronal rhythms by the duration of synaptic input

R Borisyuk, A Khibnik, AN Balachandar, J Tabak - Physical Review Research, 2023 - APS
Coupled neuronal oscillators generate a wide range of dynamic activity patterns that drive
various behaviors in animals. A single neural circuit can generate multiple activity patterns …

Multi-structure cortical states deduced from intracellular representations of fixed tactile input patterns

J Norrlid, JMD Enander, H Mogensen… - Frontiers in cellular …, 2021 - frontiersin.org
The brain has a never-ending internal activity, whose spatiotemporal evolution interacts with
external inputs to constrain their impact on brain activity and thereby how we perceive them …

Direct and retrograde signal propagation in unidirectionally coupled Wilson-Cowan oscillators

G Elisha, R Gast, S Halder, SA Solla… - arXiv preprint arXiv …, 2024 - arxiv.org
Certain biological systems exhibit both direct and retrograde propagating wave signals,
despite unidirectional neural coupling. However, there is no model to explain this. Therefore …

Reduced Phase Models of Oscillatory Neural Networks

B Pietras, A Daffertshofer - Physics of Biological Oscillators: New Insights …, 2021 - Springer
Phasereduction facilitates the analysis of networks of (weakly) coupled oscillators.
Synchronization regions can be uncovered and also non-trivial network behavior can be …

Phase Transitions Between Asynchronous and Synchronous Neural Dynamics

MSR Gast - ul.qucosa.de
Abstract (EN) In Parkinson's disease (PD), large parts of the brain transition into states of
enhanced neural synchronization. These phase transitions have been associated with the …