The timing of dopamine- and noradrenaline-mediated transmission reflects underlying differences in the extent of spillover and pooling.

EFFECTS OF CATECHOLAMINES ON DOPAMINE AND SEROTONIN SYNTHESIS IN RAT BRAIN STRIATAL SYNAPTOSOMES: THE ROLE OF PRESYNAPTIC RECEPTORS AND THE SYNAPTOSOMAL REUPTAKE MECHANISM.

The regulation of dopamine and serotonin synthesis in rat brain striatal synaptosomes has been studied using HPLC methods. Noradrenaline was shown to markedly inhibit both the synthesis of dopamine and serotonin. The response of the synaptosomes to the concentrations of noradrenaline appeared to be biphasic, a very effective inhibition occurring at low concentrations (1-5 µm) and a relativ...

Effect of nomifensine on anacoccygeus contraction induced by noradrenaline and electrical stimulation

  Nomifensine, an antidepressant agent, competitively inhibits dopamine uptake in the caudate-putamen and nucleus accumbens and binds to both dopaminergic and noradrenergic reuptake sites in the striatum and thalamus. In this study the effect of nomifensine on anacoccygeus contraction induced by noradrenaline and electrical stimulation was investigated in rats and compared to the effect of phen...

The Influence of Structural Changes in Volatility on Shock Transmission and Volatility Spillover among Iranian Gold and Foreign Exchange Markets

Dopamine- induced hypophagia is mediated via NMDA and mGlu1 receptors in chicken

Background: Feeding behavior is regulated by a complex network which interacts via diverse signals from central and peripheral tissues. It is known dopaminergic and glutamatergic systems have crucial role on food intake regulation but scarce reports exist on their interaction in appetite regulation in broilers. OBJECTIVES: The present study was designed to examine the role of glutamatergic syst...

A Convolutional Neural Network based on Adaptive Pooling for Classification of Noisy Images

Convolutional neural network is one of the effective methods for classifying images that performs learning using convolutional, pooling and fully-connected layers. All kinds of noise disrupt the operation of this network. Noise images reduce classification accuracy and increase convolutional neural network training time. Noise is an unwanted signal that destroys the original signal. Noise chang...