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Deep source transfer learning for the estimation of internal brain dynamics using scalp EEG
Electroencephalography (EEG) provides high temporal resolution neural data for brain-computer interfacing via noninvasive electrophysiological...
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Attention-based cross-frequency graph convolutional network for driver fatigue estimation
Fatigue driving significantly contributes to global vehicle accidents and fatalities, making driver fatigue level estimation crucial....
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Controlling Alzheimer’s disease by deep brain stimulation based on a data-driven cortical network model
This work aims to explore the control effect of DBS on Alzheimer's disease (AD) from a neurocomputational perspective. Firstly, a data-driven...
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Multi-scale modeling to investigate the effects of transcranial magnetic stimulation on morphologically-realistic neuron with depression
Transcranial magnetic stimulation (TMS) is a non-invasive neuromodulation technique to activate or inhibit the activity of neurons, and thereby...
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Setting a double-capacitive neuron coupled with Josephson junction and piezoelectric source
Perception of voice means acoustic electric conversion in the auditory system, and changes of external magnetic field can affect the neural...
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Vagus nerve electrical stimulation in the recovery of upper limb motor functional impairment after ischemic stroke
Ischemic stroke (IS) is characterized by high mortality, disability rates, and a high risk of recurrence. Motor dysfunction, such as limb...
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Investigating the impact of hearing loss on attentional networks among older individuals: an event-related potential study
Attention is a core cognitive domain crucial in facilitating day-to-day life. Using an attention network test (ANT) along with event-related...
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Memristive leaky integrate-and-fire neuron and learnable straight-through estimator in spiking neural networks
Compared to artificial neural networks (ANNs), spiking neural networks (SNNs) present a more biologically plausible model of neural system dynamics....
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Time–frequency–space transformer EEG decoding for spinal cord injury
Transformer neural networks based on multi-head self-attention are effective in several fields. To capture brain activity on electroencephalographic...
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Intranasal insulin effect on cognitive and/or memory impairment: a systematic review and meta-analysis
Background: Cognitive impairment, characterized by deficits in cognitive functions and loss of delayed and immediate recall, disproportionately...
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A working memory model based on recurrent neural networks using reinforcement learning
Numerous electrophysiological experiments have reported that the prefrontal cortex (PFC) is involved in the process of working memory. PFC neurons...
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Dynamic analysis of FN–HR neural network coupled of bistable memristor and encryption application based on Fibonacci Q-Matrix
In this paper, a cosine hyperbolic memristor model is proposed with bistable asymmetric hysteresis loops. A neural network of coupled hyperbolic...
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Automatic detection of Alzheimer’s disease from EEG signals using an improved AFS–GA hybrid algorithm
Alzheimer’s Disease (AD) is a neurodegenerative disorder characterized by energy diffusion and partial disconnection in the brain, with its main...
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Functional connectivity of EEG motor rhythms after spinal cord injury
Spinal cord injury (SCI), which is the injury of the spinal cord site resulting in motor dysfunction, has prompted the use of motor imagery...
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Fixed-/preassigned-time synchronization for delayed complex-valued neural networks with discontinuous activations
Finite-time synchronization is a crucial phenomenon observed in nonlinear complex systems, the settling time in such a dynamic phenomenon is heavily...
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Quantitative analysis and machine learning-based interpretation of EEG signals in coma and brain-death diagnosis
Electroencephalography (EEG) reflects brain activity and is crucial for diagnosing states such as coma and brain-death. However, the clinical...
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Data-driven natural computational psychophysiology in class
Objective. The assessment of mental fatigue (MF) and attention span in educational and healthcare settings frequently relies on subjective scales or...
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Short-length SSVEP data extension by a novel generative adversarial networks based framework
Steady-state visual evoked potentials (SSVEPs) based brain–computer interface (BCI) has received considerable attention due to its high information...
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Break-up and recovery of harmony between direct and indirect pathways in the basal ganglia: Huntington’s disease and treatment
The basal ganglia (BG) in the brain exhibit diverse functions for motor, cognition, and emotion. Such BG functions could be made via competitive...
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Affective EEG-based cross-session person identification using hierarchical graph embedding
The electroencephalogram (EEG) signal is being investigated as a more confidential biometric for person identification. Despite recent advancements,...
