Fig. 3
From: Spike reliability is cell type specific and shapes excitation and inhibition in the cortex
Computational modeling shows that the high reliability of inhibitory inputs increases the strength of the inhibition in downstream neurons while intermediate variability of excitatory inputs can increase the number of spikes generated in downstream neurons. (A) From left to right: Schematic of the model showing the administration of inhibitory inputs to the downstream neuron and intracellular voltage evoked in the downstream neuron by 20 inhibitory inputs with low (left; σ = 0 ms; resembling PV inhibitory neurons), intermediate (center; σ = 10 ms; resembling non-PV inhibitory neurons), and high (right; σ = 50 ms) levels of variability (shown by variability in input position). Plot showing the depth of the inhibition strength as a function of input reliability (500 iterations; representative cases pointed by blue arrows). Highly reliable inhibitory inputs generate a sharp and strong hyperpolarization in the downstream neuron, while less reliable inhibitory inputs generate more prolonged and superficial hyperpolarization. (B) Same as A for 20 excitatory inputs with low (left; σ = 0 ms), intermediate (center; σ = 10 ms; resembling excitatory neurons), and high (right; σ = 50 ms) levels of variability. Plot showing the number of spikes in the downstream neuron as a function of input reliability (500 iterations; representative cases pointed by red arrows). Excitatory inputs with intermediate variability generate more spikes than those with low and high variability. (C) From left to right: schematic and intracellular potential evoked by the administration of 10 (left), 30 (center), and 50 (right) excitatory inputs with intermediate variability (σ = 10 ms), respectively. Plot showing the number of spikes as a function of the number of excitatory synaptic inputs for intermediate (solid black line; representative cases pointed by red arrows; 500 iterations), low, and high (dashed grey lines) levels of reliability.
