Recording synchronous data from EEG and eye-tracking provides a unique methodological approach for measuring the sensory and cognitive processes of overt visual search. Using this approach we obtained fixation related potentials (FRPs) during a guided visual search task specifically focusing on the lambda and P3 components. An outstanding question is whether the lambda and P3 FRP components are influenced by concurrent task demands. We addressed this question by obtaining simultaneous eye-movement and electroencephalographic (EEG) measures during a guided visual search task while parametrically modulating working memory load using an auditory N-back task. Participants performed the guided search task alone, while ignoring binaurally presented digits, or while using the auditory information in a 0, 1, or 2-back task. The results showed increased reaction time and decreased accuracy in both the visual search and N-back tasks as a function of auditory load. Moreover, high auditory task demands increased the P3 but not the lambda latency while the amplitude of both lambda and P3 was reduced during high auditory task demands. The results show that both early and late stages of visual processing indexed by FRPs are significantly affected by concurrent task demands imposed by auditory working memory.

Superresolution is the process of producing a high resolution image from a collection of low resolution images. This process has potential application in a wide spectrum of fields in which navigation, surveillance, and observation are important, yet in which target images have limited resolution. There have been numerous methods proposed and developed to implement superresolution, each with its own advantages and limitations. However, there is no standard method or software for superresolution. In this paper a genetic algorithm solution for determining the registration and point spread function (PSF) parameters for superresolution is proposed and implemented, and a superresolved image is generated using genetic algorithm optimization of an existing superresolution method.

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