In this paper, an architecture based on the anatomical structure of the emotional network in the brain of mammalians is applied as a prediction model for chaotic time series studies. The architecture is called Brain Emotional Learning-based Recurrent Fuzzy System (BELRFS), which stands for: Brain Emotional Learning-based Recurrent Fuzzy System. It adopts neuro-fuzzy adaptive networks to mimic t...

Emotions constitute a key factor in human communication. Human emotion can be expressed through various mediums such as speech, facial expressions, gestures and textual data. A quite common way for people to communicate with each other and with computer systems is via written text. In this paper we present an emotion detection system used to automatically recognize emotions in text. The system ...

This paper presents an analysis of video-recordings and other micro-level data of the 1995 Srebrenica massacre in Bosnia-and-Herzegovina. It focuses on the sequential unfolding of micro-interactions and emotional dynamics before, and over the course of the atrocity. The paper argues that massacres have a pattern of situational emergence: local emotional dynamics are crucial to explain where and...

extended abstract 1- introduction life for human beings starts along with social interaction which is changed into group when combined with emotions. these social interactions occur in the social relationships atmosphere. one of these is the marital relationship which is very warm and intimate at the beginning but later emotions cool off and life loses intimacy. according to exploratory studies...

The present study examined the course traveled from childhood emotional abuse to adulthood psychopathology. One hundred ninety-six undergraduate students age 20 to 45 (M = 27; SD = 8.17), answered self-report questionnaires assessing emotional abuse in childhood (Childhood Trauma Questionnaire), parental attitudes (Parental Bonding Instrument), psychopathological symptomatology (Brief Symptom I...

This paper presents a speech emotion recognition system using a recurrent neural network (RNN) model trained by an efficient learning algorithm. The proposed system takes into account the long-range contextual effect and the uncertainty of emotional label expressions. To extract high-level representation of emotional states with regard to its temporal dynamics, a powerful learning method with a...

In a natural conversation, a complete emotional expression is typically composed of a complex temporal course representing temporal phases of onset, apex, and offset. In this study, subemotional states are defined to model the temporal course of an emotional expression in natural conversation. Hidden Markov Models (HMMs) are adopted to characterize the subemotional states; each represents one t...

Emotion, as an important aspect of human intelligence, has been playing a significant role in virtual characters. We propose an improved threelevel structure of affective model as “personality-emotion-mood” for intelligent and emotional virtual characters. We also present the emotion state space, as well as the emotion updating functions, to generate authentic and expressive emotions. In order ...

The work of Mircea Steriade demonstrated that the neocortex could synchronize large regions of the thalamus within 10-100 milliseconds (for review see Steriade and Timofeev, 2003, Steriade, 2005). Unlike the synchrony generated by the cortex, the retinal afferents synchronize a restricted group of neighboring thalamic neurons with <1-millisecond precision (Alonso et al., 1996, Yeh et al., 2003)...