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2017-12-22 生物物理与神经生物学前沿学术报告 Zhuoyi Song

     

生物物理与神经生物学前沿学术报告

       Frontiers in Biophysics and Neurobiology 

报告题目:Sensory Adaptation by Stochastic Adaptive Sampling in Receptor Neurons

---- A Multi-scale Modelling Approach

报告人:  Zhuoyi Song, Ph.D

                     Research Associate in BMS, UoS, UK

时间:   2017年12月26日(周二),下午:14:30-15:30

地点:  西区生物楼429会议室

主办单位:万人斗地主最新版下载

中国科学技术大学生命科学学院

合肥微尺度物质科学国家实验室集成影像中心 

报告简介:

   Receptor neurons supersede manmade sensors in their ability to  adapt according to environmental changes (adaptation). The underlying  mechanisms still remain traditional challenges in sensory neuroscience.  To study this adaptation process, I construct multi-scale computational  models for sensory receptors, which aim to link signal transduction  dynamics from the molecular to the systems level.


   I will talk about the modeling approach and how it helped to  uncover several 100-year scientific puzzles in sensory adaptation. For  example, how the models revealed a stochastic adaptive sampling  mechanism, by which a fly photoreceptor can encode logarithmic light  intensity changes. I will show how we think that the mechanism is  general in information encoding, and I want to discuss why and how these  rules may work with other sensory modalities.


   I will also briefly talk about how the models are scalable by  adding new modules. A new version of the model helped to predict how the  fly eyes achieve hyper-acuity by moving the photoreceptors to light  signals. This result has been published in a 149-page Elife paper and  has been reported by over 100 international media

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2017-12-22 生物物理与神经生物学前沿学术报告 Zhuoyi Song

 

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