Distributed coding by single spikes in the bullfrog vestibular nerve: a basis for dynamical computation in neural systems

机译：牛蛙前庭神经中单个尖峰的分布式编码：神经系统中动态计算的基础

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We recorded spike trains from bullfrog semicircular canal afferent neurons during broad-band rotational stimulation. Conditional probability density functions for head state at spike times have smaller entropy than the unconditional distribution of head states, showing that individual spikes transmit on average about 0.1-1 bits of information about head state. This shows that it is possible to treat single spikes as measurements or assertions about head state. Building on this observation, we show how single spikes may be treated as operands in neural computation.

机译：我们在宽带旋转刺激过程中记录了牛蛙半规管传入神经元的穗状花序。尖峰时间的头部状态的条件概率密度函数的熵小于头部状态的无条件分布，这表明各个尖峰平均传输大约0.1-1位的头部状态信息。这表明可以将单个尖峰视为关于磁头状态的测量或断言。基于此观察，我们展示了如何将单个峰值作为神经计算中的操作数。

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来源
《Computational Neuroscience Meeting(CNS03); 20030705-09; Alicante(ES)》|2003年|P.73-77|共5页
会议地点 Alicante(ES)
作者
M.G. Paulin; L.F. Hoffman; C. Assad;
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作者单位

Department of Zoology and Centre for Neuroscience, University of Otago, New Zealand;

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原文格式 PDF
正文语种 eng
中图分类生理学;
关键词
spike train; information theory; neural computation; cerebellum;

机译：穗状花序信息理论神经计算小脑;
入库时间 2022-08-26 14:29:48

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Distributed coding by single spikes in the bullfrog vestibular nerve: a basis for dynamical computation in neural systems

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