It has been shown that pre-test systemic administration of morphine was able to reverse memory impairment induced by pre- or post-training morphine in an inhibitory avoidance paradigm. Since the recall of the learned information is possible only if the subject is in the same state as during the encoding phase, this kind of learning is known as state-dependent learning. Several drugs have been d...

Modifications in chromatin structure have been widely implicated in memory and cognition, most notably using hippocampal-dependent memory paradigms including object recognition, spatial memory, and contextual fear memory. Relatively little is known, however, about the role of chromatin-modifying enzymes in amygdala-dependent memory formation. Here, we use a combination of biochemical, behaviora...

Generalized cases are cases that cover a subspace rather than a point in the problem-solution space. Attribute dependent generalized cases are a subclass of generalized cases, which cause a high computational complexity during similarity assessment. We present a new approach for an efficient indexbased retrieval of such generalized cases by an improved kdtree approach. The experimental evaluati...

foreign body aspiration is unusual in adults, except those who are debilitated or have neuropsychiatric disorders. it can be a life-threatening situation and it often requires a high index of suspicion, because the diagnosis can be obscure. prompt diagnosis and intervention through foreign body retrieval are critical to prevent significant morbidity and mortality. we present a case of denture a...

Traumatized samples have relative difficulty in generating specific autobiographical memories on a cue word task, compared to nonexposed controls. Simultaneously, trauma is associated with highly specific intrusive trauma memories in day-to-day life. Possibly, day-to-day intrusions and memories generated to cue words rely on different retrieval processes, with the former dependent on close asso...

Canonical Correlation Analysis (CCA) is a method for feature extraction of two views by finding maximally correlated linear projections them. Several variants CCA have been introduced in the literature, particular, based on deep neural networks learning highly nonlinear transformations views. As these models are parameterized conventionally, their learnable parameters remain independent inputs ...