The purpose of this paper is to examine whether people in general understand elementary spatial concepts, and to examine whether or not naive spatial knowledge includes the ability to understand important spatial primitives that are built into geographic theory, spatial databases and geographic information system (GIS). The extent of such understanding is a partial measure of spatial ability. A...

Androgens have been shown to affect cognitive aspects of spatial memory. Testosterone which is the most important androgen, plays a role in the organization of behavior during development. Also, it has been shown that androgens cause sex related differences in learning and memory especially during neonatal period. In the current study, we assessed the effects of castration and testosterone ena...

Background & Objective:  Post traumatic stress disorder (PTSD) is an anxiety reaction, which occurs as a result of encountering a seriously traumatic event during one’s lifetime. The aim of this study was to evaluate the effect of saffron aqueous extract and crocin on spatial memory and learning with the Barnes maze in a PTSD model on male Wistar rats (Weighting 200–250 gr). Materials & Method...

Natural indicators of the electrical polarity of a direct current (DC) source is limited to semiconductor based diodes and transistors. Recently a novel bio-natural indicator of the polarity of a DC source have been reported. Mimosa Pudica or sensitive plant is found to be a natural detector of a DC source polarity, however the mechanism underlying this phenomenon is not known. This paper aims ...

Spatial scaffolding is a naturally occurring human teaching behavior, in which teachers use their bodies to spatially structure the learning environment to direct the attention of the learner. Robotic systems can take advantage of simple, highly reliable spatial scaffolding cues to learn from human teachers. We present an integrated robotic architecture that combines social attention and machin...

Spatial partitioning is commonly used for parallel simulation of spatial–temporal systems, such as simulations of wildfires. Achieving effective spatial partitioning is a challenging task due to the dynamic behavior of the simulation models. This paper presents a partitioning method named profile-based spatial partitioning for parallel simulation of large scale wildfires. The profile-based part...

Background & Aims: Diabetes mellitus is a chronic metabolic disorder that in the long-term is accompanied with deficits in learning, memory, and cognitive skills. Due to the existing evidence regarding the anti-diabetic potential of acetyl-L-carnitine (ALC), the effect of its long-term administration on learning and spatial memory deficits was investigated in diabetic rats. Methods: In this exp...

In this work, we study the topical behavior in a large scale. Both the temporal and the spatial relationships of the behavior are explored with the deep learning architectures combing the recurrent neural network (RNN) and the convolutional neural network (CNN). To make the behavioral data appropriate for the spatial learning in the CNN, several reduction steps are taken in forming the topical ...