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Task demand modulates the effects of reward learning on emotional stimuli
The current study used event-related potentials (ERPs) to examine the ability of task demand in modulating the effect of reward association on the...
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Linear and nonlinear analysis of multimodal physiological data for affective arousal recognition
ObjectiveIn this work we intend to design a system to classify human arousal at five levels (i.e., five stress levels) using four peripheral bio...
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Multiple time delay induced Hopf bifurcation of a cortex - basal ganglia model for Parkinson’s Disease
Exploring the origin of beta - band oscillation in the cortex - basal ganglia model plays an important role in understanding the mechanism of...
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Coherence-based channel selection and Riemannian geometry features for magnetoencephalography decoding
Magnetoencephalography (MEG) records the extremely weak magnetic fields on the surface of the scalp through highly sensitive sensors. Multi-channel...
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Self-selected versus imposed running intensity and the acute effects on mood, cognition, and (a)periodic brain activity
The beneficial psychological effects of exercise might be explained by self-determination theory and autonomy. However, the underlying...
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EEG emotion recognition based on an innovative information potential index
The recent exceptional demand for emotion recognition systems in clinical and non-medical applications has attracted the attention of many...
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Black-white hole pattern: an investigation on the automated chronic neuropathic pain detection using EEG signals
Electroencephalography (EEG) signals provide information about the brain activities, this study bridges neuroscience and machine learning by...
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Unraveling the dynamics of a flux coupled Chialvo neurons and the existence of extreme events
To illustrate the occurrences of extreme events in the neural system we consider a pair of Chialvo neuron maps. Importantly, we explore the dynamics...
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An fMRI study on how decisions are influenced by affective evaluations from different social hierarchical positions
Expectation States Theory suggests that social status carries emotions, with higher statuses producing positive emotions and lower statuses leading...
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A linearized modeling framework for the frequency selectivity in neurons postsynaptic to vibration receptors
Vibration is an indispensable part of the tactile perception, which is encoded to oscillatory synaptic currents by receptors and transferred to...
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EEG-FRM: a neural network based familiar and unfamiliar face EEG recognition method
Recognizing familiar faces holds great value in various fields such as medicine, criminal investigation, and lie detection. In this paper, we...
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Enhancing in-situ updates of quantized memristor neural networks: a Siamese network learning approach
Brain-inspired neuromorphic computing has emerged as a promising solution to overcome the energy and speed limitations of conventional von Neumann...
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EEGNet classification of sleep EEG for individual specialization based on data augmentation
Sleep is an essential part of human life, and the quality of one’s sleep is also an important indicator of one’s health. Analyzing the...
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Prediction of hippocampal electric field in time series induced by TI-DMS with temporal convolutional network
Temporal interference deep-brain magnetic stimulation (TI-DMS) induces rhythmic electric field (EF) in the hippocampus to normalize cognitive...
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A spatiotemporal energy model based on spiking neurons for human motion perception
Inspired by the motion processing pathway, this paper proposes a bio-inspired feedforward spiking network model based on Hodgkin–Huxley neurons for...
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Controllability in attention deficit hyperactivity disorder brains
The role of network metrics in exploring brain networks of mental illness is crucial. This study focuses on quantifying a node controllability index...
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On the ability of standard and brain-constrained deep neural networks to support cognitive superposition: a position paper
The ability to coactivate (or “superpose”) multiple conceptual representations is a fundamental function that we constantly rely upon; this is...
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Dynamic prediction of nonlinear waveform transitions in a thalamo-cortical neural network under a square sensory control
Waveform transitions have high correlation to spike wave discharges and polyspike wave discharges in seizure dynamics. This research adopts nonlinear...
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A novel memristive neuron model and its energy characteristics
The functional neurons are basic building blocks of the nervous system and are responsible for transmitting information between different parts of...
