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The concept of cognitive readiness: potential solution and opportunity for the Malaysian army
This paper focuses on exploring the potential solution and opportunity in the development of the Malaysian Army Transformation Plan by using the...
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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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On the relationship between subjective decision criteria and paranoid ideations
Following the conjecture made by (Bliznashki and Hristova in Appetite 167:105645, 2021), we test the hypothesis that liberal subjective decision...
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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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APOE genotype, hippocampal volume, and cognitive reserve predict improvement by cognitive training in older adults without dementia: a randomized controlled trial
Cognitive training (CT) programs aim to improve cognitive performance and impede its decline. Thus, defining the characteristics of individuals who...
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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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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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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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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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Mental simulation of colour properties during language comprehension: influence of context and comprehension stages
Many studies have shown that mental simulation may occur during language comprehension. Supporting evidence is derived from the matching effects in...
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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...
