Virtual brain twins: from basic neuroscience to clinical use
Virtual brain twins are personalized, generative and adaptive brain models based on data
from an individual's brain for scientific and clinical use. After a description of the key …
from an individual's brain for scientific and clinical use. After a description of the key …
The digital twin brain: A bridge between biological and artificial intelligence
In recent years, advances in neuroscience and artificial intelligence have paved the way for
unprecedented opportunities to understand the complexity of the brain and its emulation …
unprecedented opportunities to understand the complexity of the brain and its emulation …
[HTML][HTML] Virtual deep brain stimulation: Multiscale co-simulation of a spiking basal ganglia model and a whole-brain mean-field model with The Virtual Brain
JM Meier, D Perdikis, A Blickensdörfer… - Experimental …, 2022 - Elsevier
Deep brain stimulation (DBS) has been successfully applied in various neurodegenerative
diseases as an effective symptomatic treatment. However, its mechanisms of action within …
diseases as an effective symptomatic treatment. However, its mechanisms of action within …
Brain works principle followed by neural information processing: a review of novel brain theory
R Wang, Y Wang, X Xu, Y Li, X Pan - Artificial Intelligence Review, 2023 - Springer
The way the brain work and its principle of work has long been a big scientific question that
scientists have dreamed of solving. However, as is known to all, the brain works at different …
scientists have dreamed of solving. However, as is known to all, the brain works at different …
Synaptic reorganization of synchronized neuronal networks with synaptic weight and structural plasticity
Abnormally strong neural synchronization may impair brain function, as observed in several
brain disorders. We computationally study how neuronal dynamics, synaptic weights, and …
brain disorders. We computationally study how neuronal dynamics, synaptic weights, and …
Dynamic modeling of neuromodulation techniques: Towards elaboration and individual specificity
Y Yu, F Han, Q Wang - Europhysics Letters, 2024 - iopscience.iop.org
Neurological disorders place a significant burden on patients, their families, and society,
posing immense scientific challenges in terms of treatment and mechanistic research …
posing immense scientific challenges in terms of treatment and mechanistic research …
Filtering properties of Hodgkin–Huxley neuron on different time-scale signals
D Yu, G Wang, T Li, Q Ding, Y Jia - Communications in Nonlinear Science …, 2023 - Elsevier
Neurons can be excited and inhibited by filtered signals. The filtering properties of neural
networks have a huge impact on memory, learning, and disease. In this paper, the frequency …
networks have a huge impact on memory, learning, and disease. In this paper, the frequency …
Exploring phase–amplitude coupling from primary motor cortex-basal ganglia–thalamus network model
Y Yu, F Han, Q Wang - Neural Networks, 2022 - Elsevier
The purpose of this study is to develop a primary motor cortex (M1)-basal ganglia–thalamus
model capable of reproducing the physiological phenomenon of exaggerated phase …
model capable of reproducing the physiological phenomenon of exaggerated phase …
Biophysical principles and computational modeling of deep brain stimulation
Background Deep brain stimulation (DBS) has revolutionized the treatment of neurological
disorders, yet the mechanisms of DBS are still under investigation. Computational models …
disorders, yet the mechanisms of DBS are still under investigation. Computational models …
Dynamical mechanism of parkinsonian beta oscillation in a heterogenous subthalamopallidal network
X Wang, Y Yu, F Han, Q Wang - Nonlinear Dynamics, 2023 - Springer
Dysfunction of basal ganglia is associated with the pathogenesis of Parkinson's disease
including alteration of firing rate and excessive beta-band (13-30 Hz) synchronization …
including alteration of firing rate and excessive beta-band (13-30 Hz) synchronization …