An important feature of this model is the simple prediction for neurons firing rate pattern which uses the least number of free parameters, and still captures the characteristic edge emphasized response of neurons to a stimulus pulse, as shown in Fig.5.
In particular, the firing rate equation of this model predicts the edge emphasized response of neurons to a stimulus pulse as shown in Fig.5. An important feature of this model is the simple prediction for neurons firing rate pattern using the least number of free parameters.
An important feature of this model is the simple prediction for neurons firing rate pattern using the least number of free parameters. In particular, the firing rate equation of this model predicts the edge emphasized response of neurons to a stimulus pulse as shown in Fig.5.
An important feature of this model is the simple prediction for neurons firing rate pattern using the least number of free parameters. In particular, the firing rate equation of this model predicts the edge emphasized response of neurons to a stimulus pulse as shown in Fig.5.