Dynamics of large-scale electrophysiological networks: A technical review
For several years it has been argued that neural synchronisation is crucial for cognition. The
idea that synchronised temporal patterns between different neural groups carries …
idea that synchronised temporal patterns between different neural groups carries …
Next-generation neural mass and field modeling
The Wilson–Cowan population model of neural activity has greatly influenced our
understanding of the mechanisms for the generation of brain rhythms and the emergence of …
understanding of the mechanisms for the generation of brain rhythms and the emergence of …
Theta-nested gamma oscillations in next generation neural mass models
Theta-nested gamma oscillations have been reported in many areas of the brain and are
believed to represent a fundamental mechanism to transfer information across spatial and …
believed to represent a fundamental mechanism to transfer information across spatial and …
Perspectives on adaptive dynamical systems
Adaptivity is a dynamical feature that is omnipresent in nature, socio-economics, and
technology. For example, adaptive couplings appear in various real-world systems, such as …
technology. For example, adaptive couplings appear in various real-world systems, such as …
Population spiking and bursting in next-generation neural masses with spike-frequency adaptation
Spike-frequency adaptation (SFA) is a fundamental neuronal mechanism taking into account
the fatigue due to spike emissions and the consequent reduction of the firing activity. We …
the fatigue due to spike emissions and the consequent reduction of the firing activity. We …
How do spatially distinct frequency specific MEG networks emerge from one underlying structural connectome? The role of the structural eigenmodes
Functional networks obtained from magnetoencephalography (MEG) from different
frequency bands show distinct spatial patterns. It remains to be elucidated how distinct …
frequency bands show distinct spatial patterns. It remains to be elucidated how distinct …
Reduction methodology for fluctuation driven population dynamics
Lorentzian distributions have been largely employed in statistical mechanics to obtain exact
results for heterogeneous systems. Analytic continuation of these results is impossible even …
results for heterogeneous systems. Analytic continuation of these results is impossible even …
Mean-field models for EEG/MEG: from oscillations to waves
Neural mass models have been used since the 1970s to model the coarse-grained activity
of large populations of neurons. They have proven especially fruitful for understanding brain …
of large populations of neurons. They have proven especially fruitful for understanding brain …
Next generation neural population models
S Coombes - Frontiers in Applied Mathematics and Statistics, 2023 - frontiersin.org
Low-dimensional neural mass models are often invoked to model the coarse-grained activity
of large populations of neurons and synapses and have been used to help understand the …
of large populations of neurons and synapses and have been used to help understand the …
Computational models in electroencephalography
Computational models lie at the intersection of basic neuroscience and healthcare
applications because they allow researchers to test hypotheses in silico and predict the …
applications because they allow researchers to test hypotheses in silico and predict the …