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对猫视觉皮层中经视觉刺激特定神经元所诱发的净兴奋性电流的估计。

Estimates of the net excitatory currents evoked by visual stimulation of identified neurons in cat visual cortex.

作者信息

Ahmed B, Anderson J C, Douglas R J, Martin K A, Whitteridge D

机构信息

Institute of Neuroinformatics, ETH/University of Zurich, Switzerland.

出版信息

Cereb Cortex. 1998 Jul-Aug;8(5):462-76. doi: 10.1093/cercor/8.5.462.

Abstract

The action potential discharge response of single neurons to both visual stimulation and injections of current were obtained during intracellular recordings in cat visual cortex in order to estimate the net excitatory current arriving at the soma during visual stimulation. Of 45 neurons recorded intracellularly, 19 pyramidal neurons and one basket cell were labelled with horseradish peroxidase. The discharge of all neurons adapted to constant current. For 40 neurons, a single exponential provided a good fit to the adapting discharge (r2 = 0.73 +/- 0.03) for all current intensities. Superficial layer neurons were significantly faster adapting [P < 0.001, mean (+/- SEM) time constant of adaptation = 11.5 +/- 1.3 ms; n = 20] than deep layer neurons (mean time constant of adaptation = 51.4 +/- 6.4 ms; n = 10). The percentage adaptation of the spike frequency, %(peak - adapted rate)/peak, was determined from the fitted exponential. Superficial layer neurons adapted significantly more strongly (P < 0.01, mean = 67 +/- 3%) than deep layer neurons (mean = 51 +/- 5%). The mean firing frequency in response to a current step of 320 ms duration had a linear relationship to the amplitude of the injected current (slope 66 spikes/s/nA; origin zero, mean r2 = 0.94; n = 33). This relationship provided a means of estimating the net peak excitatory current generated by visual stimuli. The estimated mean peak somatic current during the passage of a bar across the receptive field was 1.1 nA and the average current for the duration of the visually evoked discharge was 0.64 nA (n = 17). The transfer response of real and model neurons was obtained by differentiating the discharge response to a step input current and was then used to predict the output of the neuron following an arbitrary input. When these transfer responses were convolved with known input signals in model neurons, the predicted output was close to the simulated response of the model neuron to the same input waveforms. The transfer response was calculated for eight real neurons. Estimates of the net excitatory current arriving at the soma during visual stimulation was obtained by deconvolution. The mean peak somatic current for these neurons was 0.62 nA.

摘要

为了估算视觉刺激期间到达胞体的净兴奋性电流,在猫视觉皮层进行细胞内记录时,获得了单个神经元对视觉刺激和电流注入的动作电位发放反应。在45个进行细胞内记录的神经元中,19个锥体神经元和1个篮状细胞用辣根过氧化物酶进行了标记。所有神经元的发放都适应恒定电流。对于40个神经元,单一指数函数能很好地拟合所有电流强度下的适应性发放(r2 = 0.73 ± 0.03)。浅层神经元的适应速度明显更快[P < 0.001;平均(±标准误)适应时间常数 = 11.5 ± 1.3毫秒;n = 20],而深层神经元的平均适应时间常数为51.4 ± 6.4毫秒(n = 10)。发放频率的适应百分比,即%(峰值 - 适应后频率)/峰值,由拟合的指数函数确定。浅层神经元的适应程度明显更强(P < 0.01;平均 = 67 ± 3%),而深层神经元的平均适应程度为51 ± 5%。对持续320毫秒的电流阶跃的平均发放频率与注入电流的幅度呈线性关系(斜率为66个脉冲/秒/纳安;截距为零,平均r2 = 0.94;n = 33)。这种关系提供了一种估算视觉刺激产生的净峰值兴奋性电流的方法。在条形物穿过感受野期间,估算的平均峰值胞体电流为1.1纳安,视觉诱发发放持续期间的平均电流为0.64纳安(n = 17)。通过对阶跃输入电流的发放反应进行微分,获得真实神经元和模型神经元的传递反应,然后用于预测神经元在任意输入后的输出。当这些传递反应与模型神经元中的已知输入信号进行卷积时,预测输出接近模型神经元对相同输入波形的模拟反应。计算了8个真实神经元的传递反应。通过反卷积获得视觉刺激期间到达胞体的净兴奋性电流的估计值。这些神经元的平均峰值胞体电流为0.62纳安。

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