Recent findings suggest that repetition effects interact with episodic memory processes that are putatively supported by the hippocampus. Thus, the formation or refinement of episodic memories may be related to a modulating signal from the hippocampus to the neocortex which leads to sparser or more extended stimulus representations (repetition suppression or enhancement), depending on the type ...

Electronic structure and electron correlations of the Hubbard model on β-Mn lattice have been investigated basis momentum dependent local ansatz wavefunction method. It is found that electrons are significantly correlated as compared with those face centered cubic (fcc) body (bcc) lattices; correlation energy gain largest among β-Mn, fcc, bcc structures, charge fluctuations show a significant s...

This paper proposes an approach based on the compressed sensing for speech enhancement. It attempts to exploit the fact that it is relatively easy to find sparse representation for speech signal but the same cannot hold true for noise. Thus for a given speech signal a sparse vector is derived which extracts the speech signal from the given noisy speech signal. Approach is further modified to en...

Manganese-enhanced magnetic resonance imaging (MEMRI) is receiving increased interest as a valuable tool for monitoring the physiological functions in the animal brain based on the ability of manganese ions to mimic calcium ions entering to excitable cells. Here the possibility that in vivo MEMRI can detect the entry of manganese ions (Mn2+) in the brain of rats behaving without intended stimul...

PURPOSE To assess the feasibility of oxygen-enhanced MRI of the lung at 3 Tesla and to compare signal characteristics with 1.5 Tesla. MATERIALS AND METHODS 13 volunteers underwent oxygen-enhanced lung MRI at 1.5 and 3 T with a T 1-weighted single-slice non-selective inversion-recovery single-shot half-Fourier fast-spin-echo sequence with simultaneous respiratory and cardiac triggering in coro...

This paper introduces a novel speech enhancement system based on a wavelet denoising framework. In this system, the noisy speech is first preprocessed using a generalized spectral subtraction method to initially lower the noise level with negligible speech distortion. A perceptual wavelet transform is then used to decompose the resulting speech signal into critical bands. Threshold estimation i...