Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Spatial demonstratives - terms including this and that - are among the most common words across all languages. Yet, there are considerable differences between languages in how demonstratives carve up space and the object characteristics they can refer to, challenging the idea that the mapping between spatial demonstratives and the vision and action systems is universal. In seven experiments we show direct parallels between spatial demonstrative usage in English and (non-linguistic) memory for object location, indicating close connections between the language of space and non-linguistic spatial representation. Spatial demonstrative choice in English and immediate memory for object location are affected by a range of parameters - distance, ownership, visibility and familiarity - that are lexicalized in the demonstrative systems of some other languages. The results support a common set of constraints on language used to talk about space and on (non-linguistic) spatial representation itself. Differences in demonstrative systems across languages may emerge from basic distinctions in the representation and memory for object location. In turn, these distinctions offer a building block from which non-spatial uses of demonstratives can develop.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.cogpsych.2013.12.001DOI Listing

Publication Analysis

Top Keywords

object location
16
spatial demonstratives
12
memory object
12
spatial demonstrative
8
space non-linguistic
8
non-linguistic spatial
8
spatial representation
8
demonstrative systems
8
systems languages
8
spatial
7

Similar Publications

Globular clusters (GCs) are among the oldest and densest stellar systems in the Universe, yet how they form remains a mystery. Here we present a suite of cosmological simulations in which both dark-matter-free GCs and dark-matter-rich dwarf galaxies naturally emerge in the Standard Cosmology. We show that these objects inhabit distinct locations in the size-luminosity plane and that they have similar ages, age spread, metallicity and metallicity spread to globulars and dwarfs in the nearby Universe.

View Article and Find Full Text PDF

In the hippocampal formation, cholinergic modulation from the medial septum/diagonal band of Broca (MSDB) is known to correlate with the speed of an animal's movements at sub-second timescales and also supports spatial memory formation. Yet, the extent to which sub-second cholinergic dynamics, if at all, align with transient behavioral and cognitive states supporting the encoding of novel spatial information remains unknown. In this study, we used fiber photometry to record the temporal dynamics in the population activity of septo-hippocampal cholinergic neurons at sub-second resolution during a hippocampus-dependent object location memory task using ChAT-Cre mice of both sexes.

View Article and Find Full Text PDF

Differential Cortical Hemodynamics During Standard and Reversed Visually Guided Navigation: An fNIRS-Based Investigation.

J Neuroradiol

September 2025

Department of Physical Therapy, Yeungnam University College, 170 Hyeonchung-ro, Nam-gu, Daegu, Republic of Korea. Electronic address:

Visuospatial perception, which is based on the comprehension of objects and space, requires spatial attention to the surrounding environment. Stimulus-related elements that affect visuospatial tasks include object geometry, familiarity, complexity, and picture plane versus depth rotation. The dorsal stream pathway from the visual cortex, which is implicated in spatial processing, reflects the spatial component needed to orient the focus of attention to the location of the expected target stimulus.

View Article and Find Full Text PDF

TATrack: Target-oriented adaptive vision transformer for UAV tracking.

Neural Netw

September 2025

School of Automation, Southeast University, Nanjing, 210096, China; Advanced Ocean Institute of Southeast University Nantong, Nantong, 226010, China. Electronic address:

Unmanned Aerial Vehicle (UAV) tracking requires accurate target localization from aerial top-down perspectives while operating under the computational constraints of aerial platforms. Current mainstream UAV trackers, constrained by the limited resources, predominantly employ lightweight Convolutional Neural Network (CNN) extractor, coupled with an appearance-based fusion mechanism. The absence of comprehensive target perception significantly constrains the balance between tracking accuracy and computational efficiency.

View Article and Find Full Text PDF

This study investigated the learning strategy preferences of 11-month-old APP/PS1 double transgenic (Tg) mice, a well-established murine model of Alzheimer's disease (AD). APP/PS1 Tg and non-Tg control mice were serially trained in visual and hidden platform tasks in the Morris water maze. APP/PS1 Tg mice performed poorly in visual platform training compared with non-Tg mice but performed as well as non-Tg mice in hidden platform training.

View Article and Find Full Text PDF