The ability to perceive others' actions and goals from human motion (i.e., biological motion perception) is a critical component of social perception and may be linked to the development of real-world social relationships. Adult research demonstrates two key nodes of the brain's biological motion perception system-amygdala and posterior superior temporal sulcus (pSTS)-are linked to variability ...

traumatic brain injury (tbi) is a common injury leading to child disability and is associated with a variety of long-term cognitive, social, and behavioral dysfunctions. emotion perception (ep) starts up an integral part of social communication is critical to achieve developmentally appropriate goals. this skill, which emerges relatively early in development, is driven by increasing connectivit...

Infant Multisensory Perception Research on infant multisensory perception has detailed the increasing capacity of infants to differentiate stimuli when it is present to multiple sensory modalities (Bahrick (2002), Lewkowicz & Lickliter (1994)). Bahrick and Lickliter’s (2002) intersensory redundancy theory posits a two-fold thesis to explain infant and neonate multisensory perception. In the fir...

Studies of the categorical perception (CP) of sensory continua have a long and rich history in psychophysics. In 1977, Macmillan, Kaplan, and Creelman introduced the use of signal detection theory to CP studies. Anderson and colleagues simultaneously proposed the first neural model for CP, yet this line of research has been less well explored. In this paper, we assess the ability of neural-netw...

land-use change affects a number natural processes such as soil erosion, sedimentation, flooding and destruction of soil physical and chemical properties. this change of ecosystem causes the degradation of soil quality which eventually leads to a severe decrease in soil fertility. therefore, various aspects of land-use change should be taken into account in national major decision makings. this...

In this paper we present an approach for generation and initialization of fuzzy neural networks (FNN) from data. Fuzzy neural networks are concept that integrates some features of the fuzzy logic and the artificial neural networks theory. Based on analysis of several different fuzzy neural networks models, uniform representation method is presented, and two basic types are identified: FNN based...

geological facies interpretation is essential for reservoir studying. the method of classification and identification seismic traces is a powerful approach for geological facies classification and distinction. use of neural networks as classifiers is increasing in different sciences like seismic. they are computer efficient and ideal for patterns identification. they can simply learn new algori...

Action selection, planning and execution are continuous processes that evolve over time, responding to perceptual feedback as well as evolving top-down constraints. Existing models of routine sequential action (e.g. coffee- or pancake-making) generally fall into one of two classes: hierarchical models that include hand-built task representations, or heterarchical models that must learn to repre...

Abstract Accurate object detection on the road is most important requirement of autonomous vehicles. Extensive work has been accomplished for car, pedestrian, and cyclist detection; however, comparatively, very few efforts have put into 2D detection. In this article, a dynamic approach investigated to design perfect unified neural network that could achieve best results based our available hard...