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Object perception has been a subject of extensive fMRI studies in recent years. Yet the nature of the cortical representation of objects in the human brain remains controversial. Analyses of fMRI data have traditionally focused on the activation of individual voxels associated with presentation of various stimuli. The current analysis approaches functional(More)
The ability of the human brain to learn is exceptional. Yet, learning is typically quite specific to the exact task used during training, a limiting factor for practical applications such as rehabilitation, workforce training, or education. The possibility of identifying training regimens that have a broad enough impact to transfer to a variety of tasks is(More)
We have measured the relationship between image contrast, perceived contrast, and BOLD fMRI activity in human early visual areas, for natural, whitened, pink noise, and white noise images. As root-mean-square contrast increases, BOLD response to natural images is stronger and saturates more rapidly than response to the whitened images. Perceived contrast(More)
— Composing a representative workload is a crucial step during the design process of a microprocessor. The workload should be composed in such a way that it is representative for the target domain of application and yet, the amount of redundancy in the workload should be minimized as much as possible in order not to overly increase the total simulation(More)
Automatic event detection from video sequences has applications in several areas such as automatic visual surveillance, traffic monitoring for Intelligent Transportation Systems, key frame detection for video compression, and virtual reality applications. In this work, we present a computer vision-based approach for event detection and data collection at(More)
We present a computational approach to identify dominant market conditions, such as oversupply or scarcity, and to predict market changes in automated exchange environments. Intelligent agents can learn the characteristics of prevailing economic conditions, or regimes, from historical data. Agents can then use real-time observable information to identify(More)
We develop a normative statistical approach to exploratory behavior called information foraging. Information foraging highlights the specific processes that contribute to active, rather than passive, exploration and learning. We hypothesize that the hippocampus plays a critical role in active exploration through directed information foraging by supporting a(More)
We investigated the mechanisms of visual motion processing in humans. Previous research had shown the human visual system decomposes moving images by a set of spatio-temporal frequency selective mechanisms which do not unambiguously encode the velocity of moving patterns. By pooling the outputs of these mechanisms which have frequency selectivity lying on a(More)