Understanding the dynamics of biological and neural oscillator networks through exact mean-field reductions: a review
Many biological and neural systems can be seen as networks of interacting periodic
processes. Importantly, their functionality, ie, whether these networks can perform their …
processes. Importantly, their functionality, ie, whether these networks can perform their …
[HTML][HTML] Deep brain stimulation for psychiatric disorders: from focal brain targets to cognitive networks
CRP Sullivan, S Olsen, AS Widge - Neuroimage, 2021 - Elsevier
Deep brain stimulation (DBS) is a promising intervention for treatment-resistant psychiatric
disorders, particularly major depressive disorder (MDD) and obsessive-compulsive disorder …
disorders, particularly major depressive disorder (MDD) and obsessive-compulsive disorder …
Neural heterogeneity controls computations in spiking neural networks
The brain is composed of complex networks of interacting neurons that express
considerable heterogeneity in their physiology and spiking characteristics. How does this …
considerable heterogeneity in their physiology and spiking characteristics. How does this …
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 …
Exact mean-field theory explains the dual role of electrical synapses in collective synchronization
E Montbrió, D Pazó - Physical review letters, 2020 - APS
Electrical synapses play a major role in setting up neuronal synchronization, but the precise
mechanisms whereby these synapses contribute to synchrony are subtle and remain …
mechanisms whereby these synapses contribute to synchrony are subtle and remain …
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 …
Detrended fluctuation, coherence, and spectral power analysis of activation rearrangement in EEG dynamics during cognitive workload
In the study of human cognitive activity using electroencephalogram (EEG), the brain
dynamics parameters and characteristics play a crucial role. They allow to investigate the …
dynamics parameters and characteristics play a crucial role. They allow to investigate the …
Bursting in a next generation neural mass model with synaptic dynamics: a slow–fast approach
We report a detailed analysis on the emergence of bursting in a recently developed neural
mass model that includes short-term synaptic plasticity. Neural mass models can mimic the …
mass model that includes short-term synaptic plasticity. Neural mass models can mimic the …
Exact neural mass model for synaptic-based working memory
A synaptic theory of Working Memory (WM) has been developed in the last decade as a
possible alternative to the persistent spiking paradigm. In this context, we have developed a …
possible alternative to the persistent spiking paradigm. In this context, we have developed a …