Dissertation > Excellent graduate degree dissertation topics show

Computer Simulation of Olfactory Neural System Recognition Model

Author: ZhengZuoZuo
Tutor: YeXueSong
School: Zhejiang University
Course: Biomedical Engineering
Keywords: olfactory neural system recognition model spatiotemporal coding simulation and modeling
CLC: R319
Type: Master's thesis
Year: 2006
Downloads: 108
Quote: 0
Read: Download Dissertation

Abstract


Now more and more scientists have put their eyes in the research of the neural system, especially about the olfactory system. Not only is it due to the fact that olfactory system is yet among the most unknown sensory neural systems, but also because olfactory neural system has been reported to be tightly related to the learning and memory mechanisms of the brain. Therefore, our study could help explore and understand mechanisms of olfactory system and even brain.At present, work being done on the mechanisms of olfactory system is still at a preliminary stage. The main reason is the complicated anatomic structure of the nasal cavity and the special physiological location of the olfactory region, which has caused much trouble in direct experiment studies. However, combining experiments with models has provided a feasible and an effective alternative approach. In this paper, we first briefly introduce a set of typical models ever proposed on olfactory system, then create a model of the locust antennal lobe focused on spatiotemporal coding and decoding mechanisms.Electrophysiological experiments in the locust antennal lobe have suggested that the firing activities of excitatory projection neurons(PNs) present different spatiotemporal patterns correspondingly to different odors. In this paper, we sought to investigate the influence of neurotransmitters on the spatiotemporal olfactory coding by changing parameters of nAchergic and GABAergic synaptic currents based on a model of the locust antennal lobe. The key roles of oscillatory synchronization as well as synaptic junctions in olfactory recognition could be better understood through our simulations.Studies mentioned above have offered a promising basis for models on mechanisms of olfactory neuronal recognition. In further studies, the neuro-chips could be applied together with such models to evaluate our simulation results in comparison with experiments’ data.

Related Dissertations

  1. Research of Visualization Technology in the Virtual Test of Missile,TP391.9
  2. Study on Parameter Matching Based on Vehicle Duty Cycle, Control Strategy and Simulation Software of Hybrid Electric Vehicle,U469.7
  3. A Study on Construction System Coordination Simulation of High Face Rockfill Dam,TV52
  4. Study on the Development Model of Ecological Rural Community,F224
  5. The CAD/CAM Research for Backhoe Mechanism of Hydraulic Excavator,TU621
  6. Study on the Simulation of Water-Salt Dynamic and the Optimal Drainage Model in the Northwest Drought Region,S156
  7. Research on a Bionic Model of Olfactory Systems and Its Applications,TP18
  8. Study on the Simulation Technoligy of Thermall System of 300MW Power Unit,TM743
  9. Virtual Experiment System for Mechanism Kinematic Scheme Design Based on SolidWorks Development,TP391.72
  10. Study on Eutrophication in Taoshan Reservoir,X524
  11. High Resolution Radar Target Recognition Method Based on Scattering Center Model,TN957.52
  12. Research and Development of Simulation System of Marine Refrigeration,U664.52
  13. Research and Implementation of Key Technologies of Real-time Semi-physical Simulation Platform,TP391.9
  14. Blue-green Laser Communication Downlink Channel Monte Carlo Simulation and Modeling,TN929.1
  15. Research on Rule-Based Computer Wargame System Technology,E911
  16. Study on State Estimation Algorithm of Distribution System and Software Development,TM743
  17. Analysis on Anti-disaster Ability of Ventilation System Based on the Coupling Technology the Zone and Network Model,TD752
  18. Study of Key Technology and Mechanism of HV Contaminated Insulators Flashover for Online Monitoring and Risk Prediction,TM855
  19. The Key Technologies for Practical Applications of Support Vector Machines,TP181
  20. Theoretical study on two types of chiral compounds Pirkle -type chiral stationary phase split,R917

CLC: > Medicine, health > Basic Medical > Medical science in general > Other science and technology in medicine
© 2012 www.DissertationTopic.Net  Mobile