The Phase Response Curve (PRC), a simple input-output characterization of single cells , can provide insights into individual and collective properties of neurons and networks, by quantifying the impact of an infinitesimal depolarizing current pulse on the time of occurrence of subsequent action potentials, while a neuron is firing tonically.

The phase response curve allows us to discuss the impact of single cell properties on net-work-level phenomena, as a putative way to relay strong inhibition downstream (by synchroni-sation of PCs).

We provide a thorough characterization of single cell properties that might be involved in synchronization, hence contributing for the observed phenomena.

2B, is comparable to that measured for single cells , revealing and confirming the same marked smooth dependency on the firing rate (Fig.

Black and gray curves the linear fit for all experiments and for the single cell respectively.

Neurons in the brain have elaborate dendritic morphologies, hosting a variety of nonlinear channels that give way to single cell computation.

Using this data, we create a detailed single cell model and simulate synaptic input.

In this work, we explored the biophysical mechanism and computation in single cells that accompanies such bursting.

How might such single cell computation be involved in visual processing?