Distributed Fixed-Time Consensus of Discrete-Time Heterogeneous Multi-Agent Systems via Predictive Mechanism and Lyapunov Approach.

An outlier detection based two-stage EEG artifact removal method using empirical wavelet transform and canonical correlation analysis.

Evaluation of Curriculum Implementation Effectiveness of Higher Vocational Education Based on Collaborative Filtering Algorithm.

Distributed Model Predictive Consensus of Constrained Heterogeneous Multiagent Systems.

Finite-Time Predictive Consensus for Discrete-Time Heterogeneous Multi-Agent Systems Over Switching Digraphs.

Silent Speech Interface With Vocal Speaker Assistance Based on Convolution-Augmented Transformer.

Basic Taste Sensation Recognition From EEG Based on Multiscale Convolutional Neural Network With Residual Learning.

BiCoSS: Toward Large-Scale Cognition Brain With Multigranular Neuromorphic Architecture.

Unsupervised Cross-User Adaptation in Taste Sensation Recognition Based on Surface Electromyography.

Intensity-Varied Closed-Loop Noise Stimulation for Oscillation Suppression in the Parkinsonian State.

Computer Network Vulnerability Detection and Semantic Data Analysis Optimization Based on Artificial Intelligence.

Adaptive closed-loop control strategy inhibiting pathological basal ganglia oscillations.

Oscillation suppression effects of intermittent noisy deep brain stimulation induced by coordinated reset pattern based on a computational model.

Qualitative Recognition of Primary Taste Sensation Based on Surface Electromyography.

Unsupervised cross-user adaptation in taste sensationrecognition based on surface electromyography withconformal prediction and domain regularizedcomponent analysis.

Voice Reconstruction from Silent Speech with a Sequence-to-Sequence Model.

Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons.

Distributed Consensus of Heterogeneous Linear Time-Varying Systems on UAVs-USVs Coordination.

Distributed Model Predictive Consensus of Heterogeneous Time-Varying Multi-Agent Systems: With and Without Self-Triggered Mechanism.

Formation of Generic UAVs-USVs System Under Distributed Model Predictive Control Scheme.

Text recognition and classification of english teaching content based on SVM.

Neural Network-Based Closed-Loop Deep Brain Stimulation for Modulation of Pathological Oscillation in Parkinson's Disease.

Design of Hidden-Property-Based Variable Universe Fuzzy Control for Movement Disorders and Its Efficient Reconfigurable Implementation.

Real-Time Neuromorphic System for Large-Scale Conductance-Based Spiking Neural Networks.

Noise-Induced Improvement of the Parkinsonian State: A Computational Study.

A Novel Machine Translation Method based on Stochastic Finite Automata Model for Spoken English.

Modeling and Analysis of Beta Oscillations in the Basal Ganglia.

Nonlinear predictive control for adaptive adjustments of deep brain stimulation parameters in basal ganglia-thalamic network.

Cost-efficient FPGA implementation of a biologically plausible dopamine neural network and its application.

FPGA implementation of hippocampal spiking network and its real-time simulation on dynamical neuromodulation of oscillations.

Synaptic dynamics regulation in response to high frequency stimulation in neuronal networks.

Closed-Loop Modulation of the Pathological Disorders of the Basal Ganglia Network.

Efficient hardware implementation of the subthalamic nucleus-external globus pallidus oscillation system and its dynamics investigation.

Neural mass models describing possible origin of the excessive beta oscillations correlated with Parkinsonian state.

Contributions of adaptation currents to dynamic spike threshold on slow timescales: Biophysical insights from conductance-based models.

SAR Image Classification via Hierarchical Sparse Representation and Multisize Patch Features.

Digital implementations of thalamocortical neuron models and its application in thalamocortical control using FPGA for Parkinson's disease.

Predictive control for spike pattern modulation of a two-compartment neuron model.

Effects of couplings on the optimal desynchronizing control of neuronal networks.

Minimum energy control for a two-compartment neuron to extracellular electric fields.

Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis.

Variable universe fuzzy closed-loop control of tremor predominant Parkinsonian state based on parameter estimation.

Adaptive Control of Parkinson's State Based on a Nonlinear Computational Model with Unknown Parameters.

Impacts of clustering on noise-induced spiking regularity in the excitatory neuronal networks of subnetworks.

Dynamical analysis of Parkinsonian state emulated by hybrid Izhikevich neuron models.

Model-based iterative learning control of Parkinsonian state in thalamic relay neuron.

Dynamic analysis of Hodgkin's three classes of neurons exposed to extremely low-frequency sinusoidal induced electric field.

The effects of induction electric field on sensitivity of firing rate in a single-compartment neuron model.

Closed-Loop Control of the thalamocortical Relay Neuron's Parkinsonian State Based on Slow Variable.

The effect of extreme low frequency external electric field on the adaptability in the Ermentrout model.

Adaptive robust control of nonholonomic systems with stochastic disturbances.