Inverted gravity, not inverted shape impairs biological motion perception
نویسندگان
چکیده
منابع مشابه
Brain activity evoked by inverted and imagined biological motion
Previous imaging research has identified an area on the human posterior superior temporal sulcus (STS) activated upon viewing biological motion. The current experiments explore the relationship between neural activity within this region and perceptual experience. Biological motion perception is orientation dependent: inverting point-light animations make them more difficult to see. We measured ...
متن کامل[Inverted or tilted perception disorder].
AIM In the context of the increasing number of reported cases of patients presenting tilt or reversal of vision anomaly (here reviewed), we call the attention to the work of Justo Gonzalo (1910-1986), scarcely known in the contemporary literature. His work deals with that anomaly, and with tactile and auditory inversion, in relation to what he called central and paracentral syndromes, interpret...
متن کاملDesign of Trapezoidal Patch Antenna with Inverted and Non- Inverted V-Shape Slot
This paper covers two aspects of microstrip antenna design. The first is the analysis of trapezoidal patch microstrip antenna with V-shaped slot which operate at the centre frequency of 5.5 GHz. The second aspects are the analysis and design of inverted V-shaped slot cut trapezoidal microstrip antenna operates at centre frequency of 4.1 GHz. The simulation has been done through IE3D simulator. ...
متن کاملPsilocybin impairs high-level but not low-level motion perception.
The hallucinogenic serotonin(1A&2A) agonist psilocybin is known for its ability to induce illusions of motion in otherwise stationary objects or textured surfaces. This study investigated the effect of psilocybin on local and global motion processing in nine human volunteers. Using a forced choice direction of motion discrimination task we show that psilocybin selectively impairs coherence sens...
متن کاملComparison of Neural Network Robot Models with Not Inverted and Inverted Inertia Matrix
The mathematical model of an industrial robot is usually described in the form of Lagrange-Euler equations, Newton-Euler equations or generalized d’Alambert equations. However, these equations require the physical parameters of a robot that are difficult to obtain. In this paper, two methods for calculation of a Lagrange-Euler model of robot using neural networks are presented and compared. The...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Vision
سال: 2004
ISSN: 1534-7362
DOI: 10.1167/4.8.227