Sentence examples for neural operations from inspiring English sources

Yet, the mode of interplay between 'low' and 'high' levels of neural operations for determining the perceived emotional value is poorly understood.

If implicit and explicit motor control represent distinct neural operations, then the nervous system must have mechanisms for routing sensorimotor signals to and from these separate control processes.

This inter-individual variability calls for a certain interplay between visceral and cognitive based neural operations of emotion, as nicely suggested recently by the 'conceptual act model' [11].

This buttresses our assumption that, even in the absence of stimulus changes, a shift in mental set may affect emotional perception by parallel recruitment of distributed neural operations related to 'low-visceral' as well as 'high-appraisal' related processing, respectively.

This finding supports a system-based model of perceived emotionality in which the amygdala has a central role in mediating the effect of context-based processing style by recruiting neural operations involved in both visceral (i.e. 'low') and cognitive (i.e. 'high') related processes of emotions.

Perhaps neural operations associated with spatial attention were distributed across the higher-level brain regions shown in Fig. 4. Two further issues are worthy of consideration.

Hyperthermic failure of neural operation is associated with a loss of ion homeostasis and a major redistribution of ions, including K+ [1], [2].

Fuzzy neutrosophic soft set theory has various applications in science and engineering, especially in the areas of neural networks, operations research, artificial intelligence and decision making.

A concept emerging from recent investigations is that the molecular diversity of GABAergic systems supports neural circuit operations under an extensive range of behavior-dependent network states.

The computations of neural network operations on both client and server sides and wireless network communications between them are optimized for real time use of pervasive healthcare services.

Even though successful neural network operation requires extensive training for accuracy, the computational cost during operation is infinitesimal.