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  1. Lotfivand N, Abdolzadeh V, Hamidon MN
    ISA Trans, 2016 Jul;63:425-435.
    PMID: 27038885 DOI: 10.1016/j.isatra.2016.03.012
    Numerous applications of artificial olfaction resulting from research in many branches of sciences have caused considerable interest in the enhancement of these systems. In this paper, we offer an architecture which is suitable for critical applications, such as medical diagnosis, where reliability and precision are deemed important. The proposed architecture is able to tolerate failures in the sensors of the array. In this study, the discriminating ability of the proposed architecture in detecting complex odors, as well as the performance of the proposed architecture in encountering sensor failure, were investigated and compared with the generic architecture. The results demonstrated that by applying the proposed architecture in the artificial olfactory system, the performance of system in the healthy mode was identical to the classic structure. However, in the faulty situation, the proposed architecture implied high identification ability of odor samples, while the generic architecture showed very poor performance in the same situation. Based on the results, it was possible to achieve high odor identification through the developed artificial olfactory system using the proposed architecture.
    Matched MeSH terms: Olfactory Pathways
  2. Namazi H, Akrami A, Nazeri S, Kulish VV
    Biomed Res Int, 2016;2016:5469587.
    PMID: 27699169
    An important challenge in brain research is to make out the relation between the features of olfactory stimuli and the electroencephalogram (EEG) signal. Yet, no one has discovered any relation between the structures of olfactory stimuli and the EEG signal. This study investigates the relation between the structures of EEG signal and the olfactory stimulus (odorant). We show that the complexity of the EEG signal is coupled with the molecular complexity of the odorant, where more structurally complex odorant causes less fractal EEG signal. Also, odorant having higher entropy causes the EEG signal to have lower approximate entropy. The method discussed here can be applied and investigated in case of patients with brain diseases as the rehabilitation purpose.
    Matched MeSH terms: Olfactory Pathways/physiology*
  3. Islam, M.R., Muzaimi, M., Abdullah, J.M.
    Orient Neuron Nexus, 2011;2(1):2-9.
    MyJurnal
    Glutamate is the principal excitatory neurotransmitter in the central nervous system, and plays important roles in both physiological and pathological neuronal processes. Current understanding of the exact mechanisms involved in glutamate-induced neuronal excitotoxicity, in which excessive glutamate causes neuronal dysfunction and degeneration, whether acute or chronic, remain elusive. Conditions, due to acute insults such as ischaemia and traumatic brain injury, and chronic neurodegenerative disorders such as multiple sclerosis and motor neuron disease, suffer from the lack of translational neuroprotection in clinical setting to tackle glutamate excitotoxicity despite steady growth of animal studies that revealed complex cell death pathway interactions. In addition, glutamates are also released by non-neuronal cells including astrocytes and oligodendroglia. Thus, attempts to elucidate this complexity are closely related to our understanding of the glutamatergic circuitry in the brain. Neuronal cells develop a glutamatergic system at glutamatergic synapses that utilise glutamate as an intercellular signaling molecule to characterise the output, input, and termination of this signaling. As to signal input, various kinds of glutamate receptors have been identified and characterized. Na+-dependent glutamate transporters at the plasma membrane are responsible for the signal termination through sequestration of glutamate from the synaptic cleft. The signal output systems comprise vesicular storage and subsequent exocytosis of glutamate by using vesicular glutamate transporters. Similar to the mammalian brain, the regional differences of glutamatergic neurons and glutamate receptor neurons suggest many glutamatergic projections in the avian brain, as supported by recent evidence of glutamate-related genes distribution. Glutamatergic target areas are expected to show high activity of glutamate transporters that remove released glutamate from the synaptic clefts. This review summarises and compares glutamatergic circuits in the avian and mammalian brain, particularly in the olfactory pathway, the paffial organization of glutamatergic neurons and connection with the striatum, hippocampal-septal pathway, visual and auditory pathways, and granule cell-Purkinje cell pathway in the cerebellum. Comparative appreciation of these glutamatergic circuits, particularly with the localisation and/or expression of specific subtypes of glutamate transporters, would provide the morphological basis for physiological and pharmacological designs that supplement existing animal studies of the current proposed mechanisms that underlie glutamate-induced neuronal excitotoxicity.
    Matched MeSH terms: Olfactory Pathways
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