Image de couverture de livre

Suppressing seizure via optimal electrical stimulation to the hub of epileptic brain network

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liang, Zhichao, Zhao, Guanyi, Zhang, Yinuo, Sun, Weiting, Lin, Jingzhe, Wang, Jialin, Liu, Quanying
Format:	Preprint
Publié:	2024
Sujets:	Neurons and Cognition Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Inferring brain plasticity rule under long-term stimulation with structured recurrent dynamics
par: Liang, Zhichao, et autres
Publié: (2026)

Reverse engineering the brain input: Network control theory to identify cognitive task-related control nodes
par: Liang, Zhichao, et autres
Publié: (2024)

Temporal interference stimulation for deep brain neuromodulation in humans
par: Vassiliadis, Pierre, et autres
Publié: (2025)

Optimal monophasic, asymmetric electric field pulses for selective transcranial magnetic stimulation (TMS) with minimised power and coil heating
par: Ma, Ke, et autres
Publié: (2025)

Hyperbolic embedding of brain networks as a tool for epileptic seizures forecasting
par: Guillemaud, Martin, et autres
Publié: (2024)

Nonlinear Model Predictive Control of a Conductance-Based Neuron Model via Data-Driven Forecasting
par: Fehrman, Christof, et autres
Publié: (2023)

Mapping effective connectivity by virtually perturbing a surrogate brain
par: Luo, Zixiang, et autres
Publié: (2022)

Artificial intelligence as a surrogate brain: Bridging neural dynamical models and data
par: Zhang, Yinuo, et autres
Publié: (2025)

Feedback Identification of conductance-based models
par: Burghi, Thiago B., et autres
Publié: (2020)

Defining causal mechanism in dual process theory and two types of feedback control
par: Ohmura, Yoshiyuki, et autres
Publié: (2026)

Dual-Laws Model for a theory of artificial consciousness
par: Ohmura, Yoshiyuki, et autres
Publié: (2026)

Adaptive observers for biophysical neuronal circuits
par: Burghi, Thiago B., et autres
Publié: (2021)

Antifragile control systems in neuronal processing: A sensorimotor perspective
par: Axenie, Cristian
Publié: (2024)

Toward Neuronal Implementations of Delayed Optimal Control
par: Li, Jing Shuang
Publié: (2024)

Feasibility Assessment of an Optically Powered Digital Retinal Prosthesis Architecture for Retinal Ganglion Cell Stimulation
par: Lemaire, William, et autres
Publié: (2020)

Intrinsic Resonance depends on Network Size of Coupled-Delayed Interacting Oscillators
par: Torres, Felipe A., et autres
Publié: (2025)

Device for detection of activity-dependent changes in neural spheroids at MHz and GHz frequencies
par: Omidi, Saeed, et autres
Publié: (2024)

Modeling Adaptive Tracking of Predictable Stimuli in Electric Fish
par: Yang, Yu, et autres
Publié: (2025)

Linear-Threshold Network Models for Describing and Analyzing Brain Dynamics
par: McCreesh, Michael, et autres
Publié: (2024)

Principles of Physiological Closed-Loop Controllers in Neuromodulation
par: Marks, Victoria S., et autres
Publié: (2025)

Identifying Feedforward and Feedback Controllable Subspaces of Neural Population Dynamics
par: Kumar, Ankit, et autres
Publié: (2024)

Passivity-Based Control of Electrographic Seizures in a Neural Mass Model of Epilepsy
par: Acharya, Gagan, et autres
Publié: (2026)

A Mathematical Formalization of Self-Determining Agency
par: Ohmura, Yoshiyuki, et autres
Publié: (2026)

On the control of recurrent neural networks using constant inputs
par: Tamekue, Cyprien, et autres
Publié: (2024)

Stigmergic optimal transport
par: Krishnan, Vishaal, et autres
Publié: (2026)

Delay-constrained re-entry governs large-scale brain seizures and other network pathologies
par: Triebkorn, Paul, et autres
Publié: (2025)

OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states
par: Minai, Yuki, et autres
Publié: (2025)

Positive Competitive Networks for Sparse Reconstruction
par: Centorrino, Veronica, et autres
Publié: (2023)

Statistical-Spatial Model for Motor Potentials Evoked Through Transcranial Magnetic Stimulation for the Development of Closed-Loop Procedures
par: Farahmandrad, Maryam, et autres
Publié: (2025)

Efficient and robust control with spikes that constrain free energy
par: Urbano, André, et autres
Publié: (2026)

Module control of network analysis in psychopathology
par: Pan, Chunyu, et autres
Publié: (2024)

Timescale Limits of Linear-Threshold Networks
par: Retnaraj, William, et autres
Publié: (2026)

Learning Mixtures of Linear Dynamical Systems via Hybrid Tensor-EM Method
par: Gong, Lulu, et autres
Publié: (2025)

Modulating task outcome value to mitigate real-world procrastination via noninvasive brain stimulation
par: Chen, Zhiyi, et autres
Publié: (2025)

Transcranial low-level laser stimulation in near infrared-II region for brain safety and protection
par: Li, Zhilin, et autres
Publié: (2024)

Task learning through stimulation-induced plasticity in neural networks
par: Borra, Francesco, et autres
Publié: (2024)

Optimizing BCI Rehabilitation Protocols for Stroke: Exploring Task Design and Training Duration
par: Cruz, Aniana, et autres
Publié: (2025)

Comparing Dynamical Models Through Diffeomorphic Vector Field Alignment
par: Chen, Ruiqi, et autres
Publié: (2025)

Contraction Properties of the Global Workspace Primitive
par: Ennis, Michaela, et autres
Publié: (2023)

DFORM: Diffeomorphic vector field alignment for assessing dynamics across learned models
par: Chen, Ruiqi, et autres
Publié: (2024)