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Practical emotional neural networks
In this paper, we propose a limbic-based artificial emotional neural network (LiAENN) for a
pattern recognition problem. LiAENN is a novel computational neural model of the emotional …
pattern recognition problem. LiAENN is a novel computational neural model of the emotional …
The stability-plasticity dilemma: Investigating the continuum from catastrophic forgetting to age-limited learning effects
The stability-plasticity dilemma is a well-know constraint for artificial and biological neural
systems. The basic idea is that learning in a parallel and distributed system requires …
systems. The basic idea is that learning in a parallel and distributed system requires …
Spatial frequencies and emotional perception
It has been suggested that, during evolution, specific mechanisms developed in order to
optimize the detection of threats and opportunities even in perceptually degraded …
optimize the detection of threats and opportunities even in perceptually degraded …
A rapid subcortical amygdala route for faces irrespective of spatial frequency and emotion
There is significant controversy over the existence and function of a direct subcortical visual
pathway to the amygdala. It is thought that this pathway rapidly transmits low spatial …
pathway to the amygdala. It is thought that this pathway rapidly transmits low spatial …
The recognition of emotions beyond facial expressions: Comparing emoticons specifically designed to convey basic emotions with other modes of expression
The development of information and communication technologies has provided a new non-
verbal channel to convey emotions using emoticons. Although a great diversity of emoticons …
verbal channel to convey emotions using emoticons. Although a great diversity of emoticons …
Eulerian emotion magnification for subtle expression recognition
Subtle emotions are expressed through tiny and brief movements of facial muscles, called
micro-expressions; thus, recognition of these hidden expressions is as challenging as …
micro-expressions; thus, recognition of these hidden expressions is as challenging as …
Adaptive brain emotional decayed learning for online prediction of geomagnetic activity indices
In this paper we propose adaptive brain-inspired emotional decayed learning to predict Kp,
AE and Dst indices that characterize the chaotic activity of the earth's magnetosphere by …
AE and Dst indices that characterize the chaotic activity of the earth's magnetosphere by …
A novel machine learning analysis of eye-tracking data reveals suboptimal visual information extraction from facial stimuli in individuals with autism
We propose a new method of quantifying the utility of visual information extracted from facial
stimuli for emotion recognition. The stimuli are convolved with a Gaussian fixation …
stimuli for emotion recognition. The stimuli are convolved with a Gaussian fixation …
Increased heart rate after exercise facilitates the processing of fearful but not disgusted faces
Embodied theories of emotion assume that emotional processing is grounded in bodily and
affective processes. Accordingly, the perception of an emotion re-enacts congruent sensory …
affective processes. Accordingly, the perception of an emotion re-enacts congruent sensory …
Reduced spatial frequency differentiation and sex‐related specificities in fearful face detection in autism: Insights from EEG and the predictive brain model
Face processing relies on predictive processes driven by low spatial frequencies (LSF) that
convey coarse information prior to fine information conveyed by high spatial frequencies …
convey coarse information prior to fine information conveyed by high spatial frequencies …