Bayesian Approaches for Revealing Complex Neural Network Dynamics in Parkinson's Disease
Fuente:
arXiv
Saved in:
| Main Authors: | Shaheen, Hina, Melnik, Roderick |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Brain Network Dynamics and Multiscale Modelling of Neurodegenerative Disorders: A Review
by: Shaheen, Hina, et al.
Published: (2024)
by: Shaheen, Hina, et al.
Published: (2024)
Computational modelling of Parkinson's disease: A multiscale approach with deep brain stimulation and stochastic noise
by: Herrera, Aaron, et al.
Published: (2025)
by: Herrera, Aaron, et al.
Published: (2025)
Machine Learning for Complex Systems Dynamics: Detecting Bifurcations in Dynamical Systems with Deep Neural Networks
by: Pal, Swadesh, et al.
Published: (2026)
by: Pal, Swadesh, et al.
Published: (2026)
Complex non-Markovian dynamics and the dual role of astrocytes in Alzheimer's disease development and propagation
by: Pal, Swadesh, et al.
Published: (2022)
by: Pal, Swadesh, et al.
Published: (2022)
Modelling Alzheimer's Protein Dynamics: A Data-Driven Integration of Stochastic Methods, Machine Learning and Connectome Insights
by: MacIver, Alec, et al.
Published: (2024)
by: MacIver, Alec, et al.
Published: (2024)
Spike-timing-dependent plasticity and random inputs shape interspike interval regularity of model STN neurons
by: Thieu, Thoa, et al.
Published: (2024)
by: Thieu, Thoa, et al.
Published: (2024)
Adaptive modelling of anti-tau treatments for neurodegenerative disorders based on the Bayesian approach with physics-informed neural networks
by: Pal, Swadesh, et al.
Published: (2025)
by: Pal, Swadesh, et al.
Published: (2025)
Risk and Protective Factors in Parkinsons Disease
by: Beheshti, Iman
Published: (2025)
by: Beheshti, Iman
Published: (2025)
The Neural Basis of Groove Sensations: Implications for Music-Based Interventions and Dance Therapy in Parkinson's Disease
by: Tsai, Chen-Gia, et al.
Published: (2025)
by: Tsai, Chen-Gia, et al.
Published: (2025)
From Density to Void: Why Brain Networks Fail to Reveal Complex Higher-Order Structures
by: Chung, Moo K., et al.
Published: (2025)
by: Chung, Moo K., et al.
Published: (2025)
Unveiling the shared grey matter signature between Alzheimer's and Parkinson's Disease
by: Gangasandra, Vishaak, et al.
Published: (2026)
by: Gangasandra, Vishaak, et al.
Published: (2026)
Interpretable Electrophysiological Features of Resting-State EEG Capture Cortical Network Dynamics in Parkinsons Disease
by: Dougalis, Antonios G.
Published: (2026)
by: Dougalis, Antonios G.
Published: (2026)
Network Models of Neurodegeneration: Bridging Neuronal Dynamics and Disease Progression
by: Alexandersen, Christoffer G., et al.
Published: (2025)
by: Alexandersen, Christoffer G., et al.
Published: (2025)
Neuropsychological Effects of Rock Steady Boxing in Patients with Parkinson's Disease: A Comprehensive Analysis
by: Bonaccorsi, Lorella, et al.
Published: (2024)
by: Bonaccorsi, Lorella, et al.
Published: (2024)
Neuromorphic Networks as Revealed by Features Similarity
by: Benatti, Alexandre, et al.
Published: (2022)
by: Benatti, Alexandre, et al.
Published: (2022)
Recurrence Resonance -- Noise-Enhanced Dynamics in Recurrent Neural Networks
by: Metzner, Claus, et al.
Published: (2024)
by: Metzner, Claus, et al.
Published: (2024)
Dark Signals in the Brain: Augment Brain Network Dynamics to the Complex-valued Field
by: Zhang, Jiangnan, et al.
Published: (2025)
by: Zhang, Jiangnan, et al.
Published: (2025)
ε-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment
by: Hsu, Hao-Lun, et al.
Published: (2024)
by: Hsu, Hao-Lun, et al.
Published: (2024)
Relaxing in Warped Spaces: Generalized Hierarchical and Modular Dynamical Neural Network
by: Tsutsumi, Kazuyoshi, et al.
Published: (2026)
by: Tsutsumi, Kazuyoshi, et al.
Published: (2026)
Network Dynamics of Emotional Processing: A Structural Balance Theory Approach
by: Gourabi, Sepehr, et al.
Published: (2024)
by: Gourabi, Sepehr, et al.
Published: (2024)
Complex-valued Phase Synchrony Reveals Directional Coupling in FMRI and Tracks Medication Effects
by: Wiafe, Sir-Lord, et al.
Published: (2025)
by: Wiafe, Sir-Lord, et al.
Published: (2025)
Multi-Objective Optimisation with Oscillatory Dynamics in Spontaneous and Decision Spiking Neural Networks
by: Sethi, Divyansh, et al.
Published: (2026)
by: Sethi, Divyansh, et al.
Published: (2026)
Probabilistic Neural Transfer Function Estimation with Bayesian System Identification
by: Wu, Nan, et al.
Published: (2023)
by: Wu, Nan, et al.
Published: (2023)
Emergent Spatiotemporal Dynamics in Large-Scale Brain Networks with Next Generation Neural Mass Models
by: Delicado, Rosa Maria, et al.
Published: (2025)
by: Delicado, Rosa Maria, et al.
Published: (2025)
Hierarchically Modular Dynamical Neural Network Relaxing in a Warped Space: Basic Model and its Characteristics
by: Tsutsumi, Kazuyoshi, et al.
Published: (2022)
by: Tsutsumi, Kazuyoshi, et al.
Published: (2022)
Impact of Neuron Models on Spiking Neural Networks performance. A Complexity Based Classification Approach
by: Rudnicka, Zofia, et al.
Published: (2025)
by: Rudnicka, Zofia, et al.
Published: (2025)
Cortical Dynamics of Neural-Connectivity Fields
by: Cooray, Gerald K., et al.
Published: (2024)
by: Cooray, Gerald K., et al.
Published: (2024)
Organizational Regularities in Recurrent Neural Networks
by: Metzner, Claus, et al.
Published: (2025)
by: Metzner, Claus, et al.
Published: (2025)
Quantifying the Dynamics of Consciousness using Hierarchical Integration, Organised Complexity and Metastability
by: Ugail, Hassan, et al.
Published: (2025)
by: Ugail, Hassan, et al.
Published: (2025)
Continuous Attractor Networks for Laplace Neural Manifolds
by: Daniels, Bryan C., et al.
Published: (2024)
by: Daniels, Bryan C., et al.
Published: (2024)
Counterfactual Analysis of Brain Network Dynamics
by: Chung, Moo K., et al.
Published: (2026)
by: Chung, Moo K., et al.
Published: (2026)
Predictive Coding with Spiking Neural Networks: a Survey
by: N'dri, Antony W., et al.
Published: (2024)
by: N'dri, Antony W., et al.
Published: (2024)
Dyadic Neural Dynamics: Extending Representation Learning to Social Neuroscience
by: Glushanina, Maria, et al.
Published: (2025)
by: Glushanina, Maria, et al.
Published: (2025)
Cortical Divisive Normalization from Wilson-Cowan Neural Dynamics
by: Malo, J., et al.
Published: (2019)
by: Malo, J., et al.
Published: (2019)
Bayesian Dynamical Modeling of Fixational Eye Movements
by: Schwetlick, Lisa, et al.
Published: (2023)
by: Schwetlick, Lisa, et al.
Published: (2023)
Feature Integration Spaces: Joint Training Reveals Dual Encoding in Neural Network Representations
by: Claflin, Omar
Published: (2025)
by: Claflin, Omar
Published: (2025)
Causal Emergence of Consciousness through Learned Multiscale Neural Dynamics in Mice
by: Wang, Zhipeng, et al.
Published: (2025)
by: Wang, Zhipeng, et al.
Published: (2025)
Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve
by: Pereira, Patrícia, et al.
Published: (2025)
by: Pereira, Patrícia, et al.
Published: (2025)
Artificial Neural Networks for Magnetoencephalography: A review of an emerging field
by: Dehgan, Arthur, et al.
Published: (2025)
by: Dehgan, Arthur, et al.
Published: (2025)
Scalable Modeling of Nonlinear Network Dynamics in Neurodegenerative Disease
by: Semchin, Daniel, et al.
Published: (2025)
by: Semchin, Daniel, et al.
Published: (2025)
Similar Items
-
Brain Network Dynamics and Multiscale Modelling of Neurodegenerative Disorders: A Review
by: Shaheen, Hina, et al.
Published: (2024) -
Computational modelling of Parkinson's disease: A multiscale approach with deep brain stimulation and stochastic noise
by: Herrera, Aaron, et al.
Published: (2025) -
Machine Learning for Complex Systems Dynamics: Detecting Bifurcations in Dynamical Systems with Deep Neural Networks
by: Pal, Swadesh, et al.
Published: (2026) -
Complex non-Markovian dynamics and the dual role of astrocytes in Alzheimer's disease development and propagation
by: Pal, Swadesh, et al.
Published: (2022) -
Modelling Alzheimer's Protein Dynamics: A Data-Driven Integration of Stochastic Methods, Machine Learning and Connectome Insights
by: MacIver, Alec, et al.
Published: (2024)