B. Ahmed et al., ESTIMATES OF THE NET EXCITATORY CURRENTS EVOKED BY VISUAL-STIMULATIONOF IDENTIFIED NEURONS IN CAT VISUAL-CORTEX, Cerebral cortex (New York, N.Y. 1991), 8(5), 1998, pp. 462-476
The action potential discharge response of single neurons to both visu
al stimulation and injections of current were obtained during intracel
lular recordings in cat visual cortex in order to estimate the net exc
itatory 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 n
eurons adapted to constant current. For 40 neurons, a single exponenti
al provided a good fit to the adapting discharge (r(2) = 0.73 +/- 0.03
) for all current intensities. Superficial layer neurons were signific
antly faster adapting [P < 0.001, mean (+/- SEM) time constant of adap
tation = 11.5 +/- 1.3 ms; n = 20] than deep layer neurons (mean time c
onstant of adaptation = 51.4 +/- 6.4 ms; n = 10). The percentage adapt
ation of the spike frequency, %(peak - adapted rate)/peak, was determi
ned from the fitted exponential. Superficial layer neurons adapted sig
nificantly 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 ampl
itude of the injected current (slope 66 spikes/s/nA; origin zero, mean
r(2) = 0.94; n = 33). This relationship provided a means of estimatin
g the net peak excitatory current generated by Visual stimuli. The est
imated mean peak somatic current during the passage of a bar across th
e 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 re
sponse of real and model neurons was obtained by differentiating the d
ischarge response to a step input current and was then used to predict
the output of the neuron following an arbitrary input. When these tra
nsfer responses were convolved with known input signals in model neuro
ns, the predicted output was close to the simulated response of the mo
del neuron to the same input waveforms. The transfer response was calc
ulated for eight real neurons. Estimates of the net excitatory current
arriving at the soma during visual stimulation was obtained by deconv
olution. The mean peak somatic current for these neurons was 0.62 nA.