A5080355042- Olfactory and Sensory Function Studies
- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
- Biochemical Analysis and Sensing Techniques
- Receptor Mechanisms and Signaling
- Biological and pharmacological studies of plants
- GABA and Rice Research
- Virus-based gene therapy research
- Rough Sets and Fuzzy Logic
- Data Mining Algorithms and Applications
- Neural Networks and Applications
- Coffee research and impacts
- Aquaculture disease management and microbiota
- Food Chemistry and Fat Analysis
- Fault Detection and Control Systems
- Advanced Chemical Sensor Technologies
- Bacteriophages and microbial interactions
Institute for Research in Fundamental Sciences
2017-2022
University of Tehran
2017-2020
University of Regensburg
2017-2020
The University of Texas at El Paso
2014
University of Shahrood
2011
In the vertebrate olfactory bulb, reciprocal dendrodendritic interactions between its principal neurons, mitral and tufted cells, inhibitory interneurons in external plexiform layer mediate both recurrent lateral inhibition, with most numerous of these being granule cells. Here, we used recently established anatomical parameters functional data on unitary synaptic transmission to simulate strength inhibition cells specifically from spines rat bulb a quantitative manner. Our allowed us derive...
Dendrodendritic synaptic interactions are a hallmark of neuronal processing in the vertebrate olfactory bulb. Many classes bulb neurons including principal mitral cells (MCs) and axonless granule (GCs) dispose highly efficient propagation action potentials (AP) within their dendrites, from where they can release transmitter onto each other. So far, backpropagation GC dendrites has been investigated indirectly via Ca2+ imaging. Here, we used two-photon Na+ imaging to directly report opening...
In the rodent olfactory bulb smooth dendrites of principal glutamatergic mitral cells (MCs) form reciprocal dendrodendritic synapses with large spines on GABAergic granule (GC), where unitary release glutamate can trigger postsynaptic local activation voltage-gated Na + -channels (Na v s), that is a spine spike. Can such single MC input evoke release? We find unitary-like via two-photon uncaging causes GC to GABA both synchronously and asynchronously onto dendrites. This indeed requires s...
In the mammalian olfactory bulb, inhibitory axonless granule cells (GCs) feature reciprocal synapses that interconnect them with principal neurons of mitral, and tufted cells. These are located within large excitable spines can generate local action potentials (APs) upon synaptic input (“spine spike”). Moreover, GCs fire global APs propagate throughout dendrite. Strikingly, postsynaptic Ca 2+ entry summates mostly linearly due to coincident generated by glomerular stimulation, although some...
Abstract In the rodent olfactory bulb smooth dendrites of principal glutamatergic mitral cells (MCs) form reciprocal dendrodendritic synapses with large spines on GABAergic granule (GC), where unitary release glutamate can trigger postsynaptic local activation voltage-gated Na + -channels (Na v s), i.e. a spine spike. Can such single MC input evoke release? We find that unitary-like via two-photon uncaging causes GC to GABA both synchronously and asynchronously onto dendrites. This indeed...
We use two-photon microscopy to monitor the infection process of marine zooplankton, <i>Cafeteria roenbergensis</i> (<i>C.roenbergensis</i>), by virus (<i>CroV</i>), a giant DNA named after its host. Here, we image <i>C.roenbergensis</i> in culture excited NADH autofluorescence at video-rate (30 frame/s), and movement is recorded live videos. Moreover, <i>CroV</i> stained with dye SYBR gold simultaneously this microscope. observed initial moment method. The result demonstrates potential...
Data Mining has been applied to the world of industrial process. Through this paper, modeling such a process, boiler, is discussed focusing on two methods Partial Least Square (PLS) Regression and Neural Networks. In system behavior, former capability reducing database dimension taking account latent relations between data, while later handles nonlinearity process in order predict response through observed boiler operation data.
In this paper, Data Mining is applied to develop the idea of directing an industrial process be placed in a better state operation, so efficiency would increased. A clustering algorithm, (Modified K-Means) used determine patterns interest, i.e. nearest operating history data, on which higher than current process. Then, like what happens decision support mechanism, controllable variable suggested changed meet ones desired pattern