In this paper we address the comparison of two feature matching techniques which can be integrated in the HMAX framework. This comparison involves the originally proposed MAX technique and the histogram technique originating from Bag-of-Words literature. We have found that each of these techniques have their own field of operation. The histogram technique clearly outperforms the MAX technique w...

The paper presents a method of image recognition, which is inspired by research in visual cortex. The architecture of our model called CaNN is similar to the one proposed in neocognitron, LeNet or HMAX networks. It is composed of many consecutive layers with various number of planes (receptive fields). Units in the corresponding positions of the planes in one layer receive input from the same r...

Our Breadth-First Heuristic Search Planner (BFHSP) is a domain-independent STRIPS planner that finds sequential plans that are optimal with respect to the number of actions it takes to reach a goal. We developed BFHSP as part of our research on space-efficient graph search. It uses breadth-first search since we found that breadth-first search is more efficient than best-first search when divide...

Considerable effort has been spent extending the scope of planning beyond propositional domains to include, for example, time and numbers. Each extension has been designed as a separate specific semantic enrichment of the underlying planning model, with its own syntax and customised integration into a planning algorithm. Inspired by work on SAT Modulo Theories (SMT) in the SAT community, we dev...

objectives: there are some controversies about the value of modified ashworth scale (mas) for assessing spasticity. the goal of this study was to investigate if there is any correlation between scores obtained from mas for wrist spasticity and electrophysiological recordings as the objective measure of spasticity. methods: in this cross-sectional study, 34 stroke patients were employed. wrist s...

It has been long recognized that a key obstacle to achieving human-level object recognition performance is the problem of invariance [10]. The human visual system excels at factoring out the image transformations that distort object appearance under natural conditions. Models with a cortex-inspired architecture such as HMAX [9, 13] as well as nonbiological convolutional neural networks [5] are ...

This study in healthy subjects examined the effects of a system delivering focal microvibrations at high frequency (Equistasi®) on tonic vibration stimulus (TVS)-induced inhibition of the soleus muscle H reflex. Highfrequency microvibrations significantly increased the inhibitory effect of TVS on the H reflex for up to three minutes. Moreover, Equistasi® also significantly reduced alpha-motoneu...

Recently, several powerful image features have been proposed which can be described as spatial histograms of oriented energy. For instance, the HoG [5], HMAX C1 [14], SIFT [13], and Shape Context feature [4] all represent an input image using with a discrete set of bins which accumulate evidence for oriented structures over a spatial region and a range of orientations. In this work, we generali...

Complex interactions between hydraulic fractures and natural often result in highly complex fracture networks that might lead to bypassed resources damaging the economic viability of developments. In this study impact formation on production from hydraulically fractured wells is studied using a recently developed upscaling method (FUM). By capturing distribution FUM, novel idea changing well or...