Binocular rivalry is thought to arise from a low-level cortical site. Experiment 1 evaluates this claim with respect to local and global motion processing by using a multiple-aperture motion stimulus and measuring the predominance of global coherence while one of the component gratings is engaged in rivalry. Results show that rivalry suppression of the component grating precludes global coheren...

Individuals with autism are often characterized as 'seeing the trees, but not the forest'-attuned to individual details in the visual world at the expense of the global percept they compose. Here, we tested the extent to which global processing deficits in autism reflect impairments in (i) primary visual processing; or (ii) decision-formation, using an archetypal example of global perception, c...

The ability to detect the motion of objects is critical to survival, and understanding the cortical mechanisms involved in this process remains a key challenge in sensory neuroscience. A relatively new approach to this problem is to temporarily disrupt processing at specific cortical sites and measure the behavioural consequences. Several previous studies have shown that transcranial magnetic s...

Distributed-controlled dynamic load balancing algorithms are known to have several advantages over centralised algorithms such as scalability, and fault tolerance. Distributed implies that the control is decentralised and that a copy of the algorithm (called a scheduler) is replicated on each host of the network. However, distributed control also contributes to the lack of global goals and lack...

The Qinghai–Tibet Plateau (QTP) is heavily affected by climate change and has been undergoing serious permafrost degradation due to global warming. Synthetic aperture radar interferometry (InSAR) has been a significant tool for mapping surface features or measuring physical parameters, such as soil moisture, active layer thickness, that can be used for permafrost modelling. This study analyzed ...

Shared memory provides an attractive and intuitive programming model for large-scale parallel computing, but requires a coherence mechanism to allow caching for performance while ensuring that processors do not use stale data in their computation. Implementation options range from distributed shared memory emulations on networks of workstations to tightly coupled fully cache-coherent distribute...

Shared memory is an appealing abstraction for parallel programming. It must be implemented with caches in order to perform well, however, and caches require a coherence mechanism to ensure that processors reference current data. Hardware coherence mechanisms for large-scale machines are complex and costly, but existing software mechanisms for message-passing machines have not provided a perform...

Shared memory provides an attractive and intuitive programming model for large-scale parallel computing, but requires a coherence mechanism to allow caching for performance while ensuring that processors do not use stale data in their computation. Implementation options range from distributed shared memory emulations on networks of workstations to tightly-coupled fully cachecoherent distributed...