Motivation: Understanding which parts of an image belong to a “foreground” object and which belong to the “background” can provide information potentially useful for object recognition. A recent physiology experiment [5] has shown that neurons along the visual stream (areas V2 and V4) carry information about how local features belong to objects. Very interestingly, this modulation of neuronal f...

This paper presents a brain inspired neural architecture with spatial cognition and navigation capability. The brain inspired system is mainly composed of two parts: a bio-inspired hierarchical vision architecture (HMAX) and a hippocampal-like circuitry. The HMAX encodes vision inputs as neural activities and maps to hippocampal-like circuitry which stores this information. Sensing a similar ne...

In this paper, an efficient implementation for a recognition system based on the original HMAX model of the visual cortex is proposed. Various optimizations targeted to increase accuracy at the so-called layers S1, C1, and S2 of the HMAX model are proposed. At layer S1, all unimportant information such as illumination and expression variations are eliminated from the images. Each image is then ...

Specification of realistic environmental design conditions for marine structures is of fundamental importance to their reliability over time. Design conditions for extreme waves and storm severities are typically estimated by extreme value analysis of time series of measured or hindcast significant wave height, HS. This analysis is complicated by two effects. Firstly, HS exhibits temporal depen...

Upper extremity (UE) hemiparesis persists after stroke, limiting hand function. Neuromuscular electrical stimulation (NMES) is an effective intervention to improve UE recovery, although the underlying mechanisms are not fully understood. Our objective was to establish a reliable protocol to measure UE agonist-antagonist forearm monosynaptic reflexes in a pilot study to determine if NMES improve...

Reliable tree height-diameter (H-D) allometric equations are a key tool for the estimation of forest productivity and Above Ground Biomass (AGB). Most existing H-D developed tropical region based on large-scale multi-species datasets, their use to derive information AGB at species level is prone uncertainties. The single-species available mainly focused monocultures or stands with simple mixtur...