Figure 5
Classification of theta-driving neurons via realistic neuron simulations. (A) Morphology of the realistic CA1 pyramidal neuron model. Colored dots indicate the input locations of interneurons–AAC (purple), BC (red), CCK-BC (blue), BIC (yellow), and OLM (green). (B) Hyperpolarized somatic voltage trace of the pyramidal neuron in response to an individual input spike from an interneuron of each candidate type. (C) A spike train of a theta-driving neuron recorded in the experiment. (D) Computationally obtained hyperpolarized somatic voltage trace of the pyramidal neuron in response to the input from an interneuron of each candidate type. In our simulation, we assume that the spike train in C as the input to the pyramidal neuron is from an interneuron of one of the putative types with its input location and synaptic dynamics modeled with the corresponding parameters. (E) The theta wave obtained through filtering the LFP signal recorded in the experiment in the presence of the spike train of the theta-driving neuron shown in C. (F) Dependence of the time-lag of time-delayed mutual information between the experimentally recorded theta wave in E and the computationally obtained membrane potential induced by an interneuron of each type in D. (G) Peak time vs. interneuron type–peak time is the time-lag at which the time-delayed mutual information as a function of time-lag reaches its peak amplitude. Blue thick bars indicate the mean values of the peak time and red thin bars indicate the range of the peak time over 5 theta-driving neurons. (H) The firing probability of a theta-driving neuron as a function of the theta phase. In A, B, D, F, colors label different candidate interneuron types.
