Attractor networks are widely believed to underlie the memory systems of animals across different species. Existing models have succeeded in qualitatively modeling properties of attractor dynamics, but their computational abilities often suffer from poor representations for realistic complex patterns, spurious attractors, low storage capacity, and difficulty in identifying attractive fields of ...

OBJECTIVE To investigate the correlations between morphological parameters and rupture status in cerebral aneurysm patients. METHODS We conducted a retrospective study of 34 patient records from March 2010 to December 2012. The morphological parameters of 34 ruptured and 42 unruptured cerebral aneurysms in 34 patients (males: female, 15:19; mean age 55.79+/-10.64 years) leading to subarachnoi...

Sativex is an emergent treatment option for spasticity in patients affected by multiple sclerosis (MS). This oromucosal spray, acting as a partial agonist at cannabinoid receptors, may modulate the balance between excitatory and inhibitory neurotransmitters, leading to muscle relaxation that is in turn responsible for spasticity improvement. Nevertheless, since the clinical assessment may not b...

From the early HMAX model to Spatial Pyramid Matching, spatial pooling has played an important role in visual recognition pipelines. By aggregating local statistics, it equips the recognition pipelines with a certain degree of robustness to translation and deformation yet preserving spatial information. Despite of its predominance in current recognition systems, we have seen little progress to ...

Computational models whose organization is inspired by the cortex are increasing in both number and popularity. Current instances of such models include convolutional networks, HMAX, Hierarchical Temporal Memory, and deep belief networks. These models present two practical challenges. First, they are computationally intensive. Second, while the operations performed by individual cells, or units...

Trapezius muscle Hoffman (H) reflexes were obtained to investigate the neural adaptations induced by a 5-wk strength training regimen, based solely on eccentric contractions of the shoulder muscles. Twenty-nine healthy subjects were randomized into an eccentric training group (n = 15) and a reference group (n = 14). The eccentric training program consisted of nine training sessions of eccentric...

Recognizing objects despite infinite variations in their appearance is a highly challenging computational task the visual system performs in a remarkably fast, accurate, and robust fashion. The complexity of the underlying mechanisms is reflected in the large proportion of cortical realestate dedicated to visual processing, as well as in the difficulties encountered when trying to build models ...

Climate change not only drives increases in global mean ocean temperatures, but also the intensity and duration of marine heatwaves (MHWs), with potentially deleterious effects on local fishes. A first step to assess vulnerability fishes MHWs is quantify their upper thermal thresholds contrast these limits against current future temperatures during such heating events. Heart failure considered ...

In an ever-changing visual world, the appearance of visual objects changes constantly. Yet, our perception of a given object stays robust despite the variations in the image. The mechanisms that implement this perceptual invariance are partially known (e.g., Logothetis et al., 1995). It is also known that these mechanisms are at least in part learned from experience, but the learning processes ...