Automatic Estimation of the Dynamics of Channel Conductance Using a Recurrent Neural Network
Figure 7
Presence of a threshold and action
potential in the RNN-neuron. (a) The solid line represents the output from the
RNN-neuron, and the dotted line represents that from the SG-neuron. The
weak stimuli did not induce action potentials, and the strong stimuli induced
action potentials. The stimulation is represented at the bottom. (b) The
relation of stimulation intensities and peak values of the action potentials;
the triangles are those of the SG-neuron, and the squares are those of the
RNN-neuron. (c) The time course of the channel conductances of the RNN-neuron;
the solid lines represent the output from the Na+-RNN or that from
the K+-RNN, and the dotted lines represent the dynamics of Na+ conductance of (A.2) or that of K+ conductance of (A.3).
