STOCHASTIC CONSTANCY, VARIABILITY AND ADAPTATION OF SPIKE GENERATION - PERFORMANCE OF A GIANT-NEURON IN THE VISUAL-SYSTEM OF THE FLY
STOCHASTIC CONSTANCY, VARIABILITY AND ADAPTATION OF SPIKE GENERATION - PERFORMANCE OF A GIANT-NEURON IN THE VISUAL-SYSTEM OF THE FLY
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DOI：
10.1007/bf00337399
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发表时间：
1980-01-01
影响因子：
1.9
通讯作者：
ZAAGMAN, WH
中科院分区：
文献类型：
--
作者：
GESTRI, G;MASTEBROEK, HAK;ZAAGMAN, WH
本文研究了果蝇视觉系统中运动处理宽场元件在神经元整个功能区产生的锋电位活动的随机结构。这种放电的结构中描述的自适应集成到阈值模型的各种各样的时空刺激和稳态刺激。模型中的随机性来源（例如，阈值）的行为类似于根据2状态马尔可夫更新过程分布的随机变量。在由移动正弦波模式产生的静止放电中，尖峰间期分布的形状（在积分到阈值模型中，其反映阈值分布的形状）从低放电率的2状态分布连续变化到高放电率的1状态分布。在由时间动态刺激产生的放电的动态条件下，放电的（解调的）间隔分布的形状由具有几秒的适应时间常数的最高瞬时放电率确定。这种行为的生理起源尚不清楚。
The stochastic structure of the spike activity generated by a movement processing wide field element in the visual system of the fly was studied over the whole performance area of the neuron. The structure of this discharge is described in terms of an Adaptive Integrate-to-Threshold model for a wide variety of spatio-temporal stimuli and steady-state stimuli. The source of randomness in the model (e.g., the threshold) behaves like a random variable which is distributed according to a 2-state Markov renewal process. In stationary discharges generated by moving sinewave patterns, the shape of the interspike interval distribution (which, in the Integrate-to-Threshold model, reflects the shape of the threshold distribution) changes continuously from a 2-state distribution at low firing rates to a 1-state distribution at high firing rates. In dynamic conditions of the discharge, generated by temporal dynamic stimuli, the shape of the (demodulated) interval distribution of the discharge is determined by the highest instantaneous firing rate with an adaptation time constant of a few seconds. The physiological origin of this behavior is unknown.