Extended Data Fig. 5: Network mechanisms regulating the bursting nonlinearity.
From: Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits

All panels display the burst probability of a large population of two-compartment pyramidal neurons as a function of the intensity of the injected dendritic current. The insets illustrate the microcircuit - including the PV-like neurons (disks) and the SOM-like neurons (inverted triangles) - and the parameter that is being modified is indicated by a colored circuit element. Increasing color intensities corresponds to increasing values of the parameter. a, Increasing the strength of inhibitory synapses from SOM neurons onto the pyramidal neurons’ dendrites produces divisive burst probability control. b, Disinhibiting the pyramidal neurons’ dendrites by applying a hyperpolarizing current to the SOM neurons - mimicking inhibition from the VIP neurons - increases the slope. c, Increasing the probability of release onto SOM neurons produces a small divisive gain modulation. d, Increasing the dendritic excitability by increasing the strength of the regenerative dendritic activity produces an additive gain control.