the effect of endogenous serotonin on long-term potentiation (ltp) in region cai was studied by blocking 5-ht2 receptors with ketanserin in rat hippocampal slices. such a block significantly en-hanced long-term potentiation of the cai population spike induced by high frequency stimulation of the schaffer collateral/ commissural pathway. this implies that serotonin acts on 5-ht2 receptors in cai...

early life events influence life-long patterns of emotionality and stress responsiveness and alter the rate of brain and body aging.  much research attention has focused on the programming effects of the hypothalamus pituitary axis (hpa) in early life and on understanding hpa function in response to stressors in adulthood. in comparison, there has been relatively little research on adolescence,...

Introduction: The prostaglandin E2 (PGE2), a cyclooxygenase (COX) product, play critical roles in the synaptic plasticity. Therefore, long term use of COX inhibitors may impair the synaptic plasticity. Considering the wide clinical administration of aspirin and its unknown effects on information processing in the brain, the effect of aspirin and sodium salicylate on the short term synaptic p...

Abstract* Introduction: Chronic morphine exposure can cause addiction and affect synaptic plasticity, but the underlying neural mechanisms of this phenomenon remain unknown. Herein we used electrophysiologic approaches in hippocampal CA1 area to examine the effect of chronic morphine administration on short-term plasticity. Methods: Experiments were carried out on hippocampal slices taken f...

Modern programming languages allow the definition and the use of arbitrary nested data structures but this is not generally considered in unconventional programming models. In this paper, we present arbitrary nesting in MGS, a spatial computing language. By considering different classes of neighborhood relationships, MGS can emulate several unconventional computing models from a programming poi...

The quest for novel and unconventional computing machines is mainly motivated by the man-machine dichotomy and by the belief that dealing with new physical computing substrates, new environments, and new applications will require new paradigms to organize, train, program, and to interact with them. The goal of this contribution is to delineate a possible way to address the general scientific ch...