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Identification of the stimulus features represented by neuronal activity, and understanding the fidelity of this representation, are central to understanding how the brain processes the sensory world. In the mammalian olfactory bulb, mitral/tufted (M/T) cells both receive synaptic input from sensory neurons, and serve as the principal output to central brain structures. Due to physical constraints, odor intensity (concentration) at odorant receptors in vertebrates is likely to vary much more slowly than stimulus intensity in other sensory modalities such as vision or audition. Because of this speed limit, the precise timing of action potentials (APs) will not track rapid, millisecond-timescale changes in stimulus properties as in other sensory systems. Rather, the extra "bandwidth" afforded by precise AP timing could encode other olfactory stimulus features, such as identity or context. If odor identity is encoded in AP timing early during a stimulus response, and this timing is reliable across identical stimuli, behavioral response latencies could be minimized11. Across respiratory cycles, an identical ensemble AP response could serve to confirm odor identity. Alternatively, directed changes in this response across cycles could convey novel information in each respiratory cycle about a complex stimulus. Here I propose to test the hypotheses that ensemble AP timing encodes features of odor stimuli in the mouse olfactory bulb, and does so in a dynamic fashion across respiratory cycles.
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Synaptic scaling stabilizes persistent activity driven by asynchronous neurotransmitter release.
突触缩放可稳定由异步神经递质释放驱动的持续活动。
DOI: 10.1162/neco_a_00098
发表时间: 2011
期刊: Neural computation
影响因子: 2.9
作者: [Volman,Vladislav, Gerkin,RichardC]
通讯作者: Gerkin,RichardC
Rapid olfactory tools for telemedicine-friendly COVID-19 screening and surveillance
  • 批准号:
    10320992
  • 项目类别:
  • 资助金额:
    $41.57万
  • 财政年份:
    2020
  • 负责人:
    Richard C Gerkin
  • 依托单位:
Rapid olfactory tools for telemedicine-friendly COVID-19 screening and surveillance
  • 批准号:
    10263657
  • 项目类别:
  • 资助金额:
    $48.54万
  • 财政年份:
    2020
  • 负责人:
    Richard C Gerkin
  • 依托单位:
Data Science Core
CRCNS: Data Sharing: Pyrfume: A library for mammalian olfactory psychophysics
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