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Memory formation has been associated with structural and functional modifications of synapses. Cell adhesion molecules are prominent modulators of synaptic plasticity. Here, we investigated the involvement of the cell adhesion molecules, NCAM, its polysial ...
GLUT8 is a glucose transporter isoform expressed at high levels in testis; at intermediate levels in the brain, including the hippocampus; and at lower levels in the heart and several other tissues. GLUT8 is located in an intracellular compartment and does ...
Prior research indicates that there is much spatial variation in applications' memory access patterns. Modern memory systems, however, use small fixed-size cache blocks and as such cannot exploit the variation. Increasing the block size would not only proh ...
Since the original publication of Martin Hellman's cryptanalytic time-memory trade-off, a few improvements on the method have been suggested. In all these variants, the cryptanalysis time decreases with the square of the available memory. However, a large ...
The ability of the central nervous system to form motor memories, a process contributing to motor learning and skill acquisition, decreases with age. Dopaminergic activity, one of the mechanisms implicated in memory formation, experiences a similar decline ...
The effects of a single oral dose of levodopa administered in a randomized, double-blind, placebo-controlled cross-over design on formation of a motor memory were studied by a training protocol in patients with chronic stroke. Levodopa enhanced the ability ...
Different neural systems are involved in animal navigation depending on the type of task. Experimental studies support the idea that the hippocampus is necessary to learn a spatial representation required to navigate toward hidden goals (place response), w ...
Activation dynamics of hippocampal subregions during spatial learning and their interplay with neocortical regions is an important dimension in the understanding of hippocampal function. Using the (14C)-2-deoxyglucose autoradiographic method, we have chara ...
The capability to learn from experience is a key property for a visual recognition algorithm working in realistic settings. This paper presents an SVM-based algorithm, capable of learning model representations incrementally while keeping under control memo ...
This paper presents a novel SVM-based algorithm for visual object recognition, capable of learning model representations incrementally. We combine an incremental extension of SVMs with a method which reduces the number of support vectors needed to build th ...
