Adaptive dynamical networks

R Berner, T Gross, C Kuehn, J Kurths, S Yanchuk - Physics Reports, 2023 - Elsevier
It is a fundamental challenge to understand how the function of a network is related to its
structural organization. Adaptive dynamical networks represent a broad class of systems that …

Integrated memristor network for physiological signal processing

L Cai, L Yu, W Yue, Y Zhu, Z Yang, Y Li… - Advanced Electronic …, 2023 - Wiley Online Library
Humans are complex organisms made by millions of physiological systems. Therefore,
physiological activities can represent physical or mental states of the human body …

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 …

Perspectives on adaptive dynamical systems

J Sawicki, R Berner, SAM Loos, M Anvari… - … Journal of Nonlinear …, 2023 - pubs.aip.org
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 …

Spatiotemporal features of β-γ phase-amplitude coupling in Parkinson's disease derived from scalp EEG

R Gong, M Wegscheider, C Mühlberg, R Gast, C Fricke… - Brain, 2021 - academic.oup.com
Abnormal phase-amplitude coupling between β and broadband-γ activities has been
identified in recordings from the cortex or scalp of patients with Parkinson's disease. While …

Neuronal cascades shape whole-brain functional dynamics at rest

G Rabuffo, J Fousek, C Bernard, V Jirsa - Eneuro, 2021 - eneuro.org
At rest, mammalian brains display remarkable spatiotemporal complexity, evolving through
recurrent functional connectivity (FC) states on a slow timescale of the order of tens of …

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 …

Population spiking and bursting in next-generation neural masses with spike-frequency adaptation

A Ferrara, D Angulo-Garcia, A Torcini, S Olmi - Physical Review E, 2023 - APS
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 …

Bursting in a next generation neural mass model with synaptic dynamics: a slow–fast approach

H Taher, D Avitabile, M Desroches - Nonlinear Dynamics, 2022 - Springer
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 …

Exact mean-field models for spiking neural networks with adaptation

L Chen, SA Campbell - Journal of Computational Neuroscience, 2022 - Springer
Networks of spiking neurons with adaption have been shown to be able to reproduce a wide
range of neural activities, including the emergent population bursting and spike synchrony …