Multiplying with synapses and neurons
Single neuron computation
A mechanism for neuronal gain control by descending pathways
Neural Computation
Shunting inhibition does not have a divisive effect on firing rates
Neural Computation
The NEURON simulation environment
Neural Computation
Biophysiologically plausible implementations of the maximum operation
Neural Computation
Characterization of subthreshold voltage fluctuations in neuronal membranes
Neural Computation
Supervised Learning Through Neuronal Response Modulation
Neural Computation
The Effect of NMDA Receptors on Gain Modulation
Neural Computation
Stimulus Competition by Inhibitory Interference
Neural Computation
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The influence of voltage-dependent inhibitory conductances on firing rate versus input current (f-I) curves is studied using simulations from a new compartmental model of a pyramidal cell of the weakly electric fish Apteronotus leptorhynchus. The voltage dependence of shunting-type inhibition enhances the subtractive effect of inhibition on f-I curves previously demonstrated in Holt and Koch (1997) for the voltage-independent case. This increased effectiveness is explained using the behavior of the average subthreshold voltage with input current and, in particular, the nonlinearity of Ohm's law in the subthreshold regime. Our simulations also reveal, for both voltage-dependent and -independent inhibitory conductances, a divisive inhibition regime at low frequencies (f 40 Hz). A simple leaky integrate-and-fire type model that incorporates the voltage dependence supports the results from our full ionic simulations.